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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.4" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9504688</journal-id><journal-id journal-id-type="pubmed-jr-id">8741</journal-id><journal-id journal-id-type="nlm-ta">J Occup Environ Med</journal-id><journal-id journal-id-type="iso-abbrev">J Occup Environ Med</journal-id><journal-title-group><journal-title>Journal of occupational and environmental medicine</journal-title></journal-title-group><issn pub-type="ppub">1076-2752</issn><issn pub-type="epub">1536-5948</issn></journal-meta><article-meta><article-id pub-id-type="pmid">41283847</article-id><article-id pub-id-type="pmc">13333150</article-id><article-id pub-id-type="doi">10.1097/JOM.0000000000003626</article-id><article-id pub-id-type="manuscript">NIHMS2178739</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Evaluating the Implementation of a Workplace Weight Loss Program Using a Modified Process Evaluation Rating Sheet</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-5872-9548</contrib-id><name><surname>Walsh</surname><given-names>Ryan J.</given-names></name><degrees>PhD</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-6296-7714</contrib-id><name><surname>Strickland</surname><given-names>Jamie R.</given-names></name><degrees>MA</degrees><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Kinghorn</surname><given-names>Anna M.</given-names></name><degrees>MS</degrees><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0009-0009-8512-9746</contrib-id><name><surname>Biver</surname><given-names>Samuel F.</given-names></name><degrees>MPH</degrees><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0009-0004-3698-7457</contrib-id><name><surname>Colvin</surname><given-names>Ryan</given-names></name><degrees>MPH</degrees><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-2967-3906</contrib-id><name><surname>Tabak</surname><given-names>Rachel G.</given-names></name><degrees>PhD</degrees><xref rid="A6" ref-type="aff">6</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-5624-8967</contrib-id><name><surname>Dale</surname><given-names>Ann Marie</given-names></name><degrees>PhD</degrees><xref rid="A7" ref-type="aff">7</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-0085-333X</contrib-id><name><surname>Evanoff</surname><given-names>Bradley A.</given-names></name><degrees>MD</degrees><xref rid="A7" ref-type="aff">7</xref></contrib></contrib-group><aff id="A1"><label>1</label>Program in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri, USA; Current Affiliation: Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, California, USA</aff><aff id="A2"><label>2</label>Division of General Medicine &#x00026; Geriatrics, Washington University School of Medicine, St. Louis, Missouri, USA; Current Affiliation: Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, Missouri, USA</aff><aff id="A3"><label>3</label>Division of General Medicine &#x00026; Geriatrics, Washington University School of Medicine, St. Louis, Missouri, USA; Current Affiliation: Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA</aff><aff id="A4"><label>4</label>Division of General Medicine &#x00026; Geriatrics, Washington University School of Medicine, St. Louis, Missouri, USA; Current Affiliation: College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri, USA</aff><aff id="A5"><label>5</label>Division of General Medicine &#x00026; Geriatrics, Washington University School of Medicine, St. Louis, Missouri, USA; Current Affiliation: Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri, USA</aff><aff id="A6"><label>6</label>George Warren Brown School of Social Work, Washington University in St. Louis, St. Louis, Missouri, USA; Current Affiliation: School of Public Health, Washington University in St. Louis, St. Louis, Missouri, USA</aff><aff id="A7"><label>7</label>Division of General Medicine &#x00026; Geriatrics, Washington University School of Medicine, St. Louis, Missouri, USA; Current Affiliation: Division of General Medicine &#x00026; Geriatrics, Washington University School of Medicine, St. Louis, Missouri, USA</aff><author-notes><corresp id="CR1">Corresponding author information: Ryan James Walsh, 1640 Marengo Street, Suite 412, Los Angeles, CA 90033, <email>ryan.walsh@chan.usc.edu</email></corresp><fn fn-type="con" id="FN1"><p id="P1">Specific Author Contributions: All authors participated in the conception or design of the work. JRS, AMK, and SFB participated in the acquisition of data, and all authors participated in the analysis and interpretation of data. All authors engaged in drafting the work and revising it critically for important intellectual content. Last, all authors have agreed to publish the final version and accept accountability for the accuracy and integrity of the work.</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>21</day><month>6</month><year>2026</year></pub-date><pub-date pub-type="ppub"><day>01</day><month>4</month><year>2026</year></pub-date><pub-date pub-type="epub"><day>24</day><month>11</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>05</day><month>7</month><year>2026</year></pub-date><volume>68</volume><issue>4</issue><fpage>e267</fpage><lpage>e274</lpage><abstract id="ABS1"><sec id="S1"><title>Objective:</title><p id="P2">To demonstrate the utility of a modified Process Evaluation Rating Sheet (PERS) for analyzing implementation quality and program efficacy in a participatory workplace weight loss program.</p></sec><sec id="S2"><title>Methods:</title><p id="P3">Healthcare system workgroups formed teams to propose and implement weight loss activities between 2018-2020. We used Spearman correlations and hierarchical regressions to examine relationships between implementation quality captured by the PERS and program efficacy outcomes such as organizational health climate and supervisor support measured by the Multifaceted Organizational Health Climate Assessment (MOHCA) and Job Content Questionnaire (JCQ), respectively.</p></sec><sec id="S3"><title>Results:</title><p id="P4">407 workers from 11 workgroups participated. Only groups with high implementation quality levels sustained improvement in organizational health climate at 18-months (&#x00394;MOHCA mean [95% CI] from baseline=00.31 [0.06, 0.55]) and in supervisor support at 12-months (&#x00394;JCQ mean from baseline=0.63 [0.08, 1.17]). No group sustained improvements at 24-months.</p></sec><sec id="S4"><title>Conclusion:</title><p id="P5">Implementation quality was associated with program efficacy, but the association faded over time. Utilizing the modified PERS may enhance evaluation of workplace health behavior change programs.</p></sec></abstract><abstract id="ABS2" abstract-type="summary"><title>In Brief</title><p id="P6">Our study presents a process to demonstrate complex relationships between implementation quality and program efficacy of a participatory workplace weight loss intervention by utilizing a modified Process Evaluation Rating Sheet. The findings also offer insight into which program implementation characteristics may be associated with better program efficacy outcomes.</p></abstract><kwd-group><kwd>Community-Based Participatory Research</kwd><kwd>Health Promotion</kwd><kwd>Total Worker Health<sup>&#x000ae;</sup></kwd><kwd>Program Evaluation</kwd><kwd>Obesity Management</kwd></kwd-group></article-meta></front><body><sec id="S5"><title>Introduction</title><p id="P7">Nearly 170 million adults in the United States spend much of their day engaged in work,<sup><xref rid="R1" ref-type="bibr">1</xref></sup> and work-related factors such as stress, scheduling, and organizational climate contribute to the development of unhealthy physical activity and eating behaviors that lead to chronic conditions such as obesity.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R3" ref-type="bibr">3</xref></sup> Healthy eating and physical activity programs tailored for low socioeconomic status (SES) populations (i.e., those with lower incomes, occupational status, and educational attainment) are essential to address the increasing prevalence of obesity-related chronic diseases such as diabetes and cardiovascular disease.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R5" ref-type="bibr">5</xref></sup> There is a lack of effective and scalable programs tailored for this population,<sup><xref rid="R6" ref-type="bibr">6</xref>-<xref rid="R8" ref-type="bibr">8</xref></sup> and low SES workforces face barriers to engagement with health behavior change programs,<sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R9" ref-type="bibr">9</xref></sup> such as lack of time, resources, or management support. The workplace can be an ideal place to engage low SES workers in health behavior change programs to address eating and physical activity behaviors,<sup><xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R11" ref-type="bibr">11</xref></sup> though limitations in implementing and evaluating such programs hinders their use in addressing the growing burden of chronic disease among blue-collar working adults in particular.<sup><xref rid="R3" ref-type="bibr">3</xref></sup></p><p id="P8">The National Institute for Occupational Safety and Health&#x02019;s Total Worker Health<sup>&#x000ae;</sup> (TWH<sup>&#x000ae;</sup>) program seeks to understand how work environmental factors (e.g., perceived support and organizational health climate in the workplace) influence worker health and productivity.<sup><xref rid="R12" ref-type="bibr">12</xref></sup> To customize interventions for diverse settings, TWH<sup>&#x000ae;</sup> practitioners and researchers increasingly apply participatory approaches to engage workers in health behavior change.<sup><xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R14" ref-type="bibr">14</xref></sup> Participatory approaches may enhance worker buy-in and perceived autonomy, improving engagement and sustainability of health programs.<sup><xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R15" ref-type="bibr">15</xref>,<xref rid="R16" ref-type="bibr">16</xref></sup> Evaluating such participatory approaches in lower SES workers at risk for obesity-related chronic diseases may improve understanding of how to effectively and pragmatically engage workers.<sup><xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R14" ref-type="bibr">14</xref></sup> Integrative interventions that engage end users may also be more effective than those that impose top-down changes,<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R17" ref-type="bibr">17</xref></sup> especially among workers of lower SES.<sup><xref rid="R18" ref-type="bibr">18</xref></sup> However, integrative participatory interventions thus far have mixed evidence of substantial benefit for workers,<sup><xref rid="R19" ref-type="bibr">19</xref></sup> likely due to insufficient use of comprehensive implementation models, frameworks, and evaluation tools as well as inadequate engagement of managers and workers.<sup><xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R20" ref-type="bibr">20</xref></sup> Thus, researchers are focusing on improving the quality of tools used in process evaluation.</p><p id="P9">Quality of implementation and effectiveness of health behavior change programs are associated,<sup><xref rid="R21" ref-type="bibr">21</xref></sup> and multilevel factors (e.g., coworker, supervisory, and organizational) influence these associations. Understanding these associations requires evaluation approaches capable of capturing implementation and clinical measures across individuals, groups, and organizations. Participatory approaches which engage study participants in planning, implementing, and evaluating programs, such as the TWH<sup>&#x000ae;</sup> Healthy Workplace Participatory Program, have been applied to evaluate complex interventions in frontline retail and corrections workers.<sup><xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R15" ref-type="bibr">15</xref></sup> However, few studies of participatory worker programs offer systematic guidance on concurrently evaluating participatory program implementation and efficacy.<sup><xref rid="R21" ref-type="bibr">21</xref>-<xref rid="R23" ref-type="bibr">23</xref></sup> In addition, better specifying the process of tailoring implementation strategies to different settings is important for informing other such interventions.<sup><xref rid="R24" ref-type="bibr">24</xref>-<xref rid="R26" ref-type="bibr">26</xref></sup></p><p id="P10">Using tools such as the Process Evaluation Rating Sheet (PERS) may enhance process evaluation frameworks used to identify which implementation factors are associated with the effectiveness of participatory workplace programs and thus facilitate tailoring of program delivery.<sup><xref rid="R27" ref-type="bibr">27</xref></sup> The PERS provides a brief assessment of five aspects of program implementation: 1) organizational support and engagement, 2) steering committee engagement, 3) design team engagement, 4) program facilitation effectiveness, and 5) intervention planning and implementation. Evaluators rate four questions within each aspect on a five-point Likert type scale. As described below, we modified the PERS for use in this study. The PERS is increasingly used in participatory worker health promotion studies,<sup><xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R28" ref-type="bibr">28</xref></sup> but few of these studies have both applied and adapted the PERS for the purposes of evaluating program implementation in lower SES workers.</p><p id="P11">In this study, we examined the utility of the modified PERS as part of an evaluation approach for the Working For You (WFY) program. WFY was a cluster-randomized trial testing a participatory worker program that addressed individual health behaviors and work environment factors contributing to obesity in workers of lower SES.<sup><xref rid="R29" ref-type="bibr">29</xref></sup> Design teams of workers representing their workgroups collaborated with researchers to propose, implement, and evaluate healthy eating and physical activity solutions for their workgroups. We sought to evaluate implementation of the WFY program with short-term efficacy outcomes including perceived organizational health climate in the Multifaceted Organizational Health Climate Assessment (MOHCA) and perceived coworker and supervisor supported in the Job Content Questionnaire 6.<sup><xref rid="R30" ref-type="bibr">30</xref>,<xref rid="R31" ref-type="bibr">31</xref></sup></p><p id="P12">Our specific objectives were to: 1) assess associations between our process measures and the implementation factors in the modified PERS in our logic model and 2) assess associations between the process measures and modified PERS, and short-term efficacy outcomes over time in the program logic model. We hypothesized that 1) higher modified PERS scores would be associated with higher scores on process measures and 2) better quality program implementation as indicated by higher modified PERS scores and process measures would be associated with larger changes in short-term efficacy scores over time.</p></sec><sec id="S6"><title>Methods</title><p id="P13">Study data came from a cluster-randomized trial of a participatory weight loss program conducted in 2015-2020 among employee workgroups in a large American healthcare system and affiliated university.<sup><xref rid="R29" ref-type="bibr">29</xref></sup> The Washington University School of Medicine Institutional Review Board approved this study (ID: 201505131), and all participants gave written informed consent.</p><p id="P14">The intervention arm of the WFY study comprised of 11 workgroups of between 25 to 137 workers, and trial implementation occurred in 2018-2020. Four to six workers made up the design team for each group, and a program facilitator worked closely with each group. The design teams and program facilitators met weekly during the first three months of the intervention and then bi-weekly for 21 months. The meeting goals were to propose and implement healthy eating and physical activity initiatives within their work units.<sup><xref rid="R29" ref-type="bibr">29</xref></sup></p><p id="P15">To propose workplace changes, each workgroup&#x02019;s design team followed a seven-step participatory process described by Center for the Promotion of Health in the New England Workplace&#x02019;s Healthy Workplace Participatory Program:<sup><xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R32" ref-type="bibr">32</xref></sup> 1) evaluating the workplace; 2) identifying problems; 3) generating solutions; 4) creating solution prototypes; 5) gathering feedback about the prototypes; 6) modifying the prototypes; and 7) implementing the solution prototypes. Program facilitators from the research team worked closely with design teams during the first 12 months of the intervention; design teams ran independently during the second 12 months. Throughout the intervention, the design team and program facilitators vetted proposals with managers when feasible.</p><sec id="S7"><title>Logic Model</title><p id="P16">This study adapted a logic model from prior participatory worker programs.<sup><xref rid="R33" ref-type="bibr">33</xref>-<xref rid="R35" ref-type="bibr">35</xref></sup> The model comprised three domains: 1) program implementation with three subdomains of inputs, activities, and outputs, 2) program efficacy with short-, intermediate-, and long-term outcomes, and 3) context. In this study, we studied aspects of program implementation and short-term measures of program efficacy within the logic model (<xref rid="T1" ref-type="table">Table I</xref>). A specific timeline of data collection activities is included in <xref rid="SD1" ref-type="supplementary-material">Appendix I</xref>.</p></sec><sec id="S8"><title>Data Collection and Recruitment</title><p id="P17">The research staff approached managers and administrators of departments to recruit workgroups to the study, to recruit design team members, and to recruit all workgroup members to participate in surveys every six months between baseline and 24-months. Worker inclusion criteria for participating in the study were: 1) membership in a chosen work group; 2) English-speaking; and 3) aged &#x02265;18 years old. Exclusion criteria were: 1) pregnant or nursing; 2) weight-loss surgery within the past 12 months; and 3) currently receiving chemotherapy or other radiation treatments.<sup><xref rid="R29" ref-type="bibr">29</xref></sup></p></sec><sec id="S9"><title>Participant Information</title><p id="P18">Each participant completed a baseline demographic questionnaire and indicated their gender, age, race, ethnicity, education level, annual household income, and cohabitation status. Members of the research staff generated measures of weight on an electronic scale by averaging two measures to the nearest tenth of a pound. Height was also measured to the nearest quarter-of-an-inch on a portable, calibrated stadiometer. Then, the research team generated measures of approximate body mass index (BMI; kg/m<sup>2</sup>) and classified participants with BMI &#x02265;30 kg/m<sup>2</sup> as having obesity.<sup><xref rid="R29" ref-type="bibr">29</xref></sup></p></sec><sec id="S10"><title>Process Measures</title><p id="P19">Throughout the program, program facilitators attended team meetings and recorded team process measures in intervention logs, including: management support and engagement measures (i.e., management is supportive and management communicates effectively); design team engagement measures (i.e., meeting attendance, action between meetings, # of team members, # of meetings completed, and proportion of planned meetings that were held); and program implementation measures (i.e., team runs independently, program delivered as planned, and number of interventions delivered). At the end of the study, the research team reviewed intervention logs recorded by program facilitators and calculated final scores.</p></sec><sec id="S11"><title>Modified Program Evaluation Rating Sheet (Modified PERS)</title><p id="P20">The PERS is an implementation quality assessment tool, created by the Center for the Promotion of Health in the New England Workplace&#x02019;s Healthy Workplace Participatory Program. The PERS rates 20 items grouped in five domains relevant to participatory workforce programs: management support, steering committee engagement, health team engagement, program facilitation effectiveness, and intervention planning and implementation.<sup><xref rid="R36" ref-type="bibr">36</xref></sup> Because our intervention did not include two program elements rated in the original PERS (a labor-management steering committee and external rating of program facilitation), we modified the original PERS by eliminating the steering committee engagement and program facilitation effectiveness domains and moving relevant items from these domains to the three remaining domains of program implementation evaluation: 1) management support, 2) team engagement, and 3) planning and implementation.<sup><xref rid="R37" ref-type="bibr">37</xref></sup> Our modified PERS retained 13 of the 20 original PERS questions distributed among these three domains.</p><p id="P21">We derived each domain score from four to five component items (See <xref rid="SD2" ref-type="supplementary-material">Appendix II</xref> for further details about the PERS and Modified PERS as well as questions and scoring). The research team evaluated each item on a scale of 1 (strongly disagree) to 5 (strongly agree), or NA for ratings that were not applicable. Research staff who served as program facilitators throughout the 2-year intervention independently rated the modified PERS items at the end of design team meetings, and resolved any differences in ratings through consensus with research staff and investigators uninvolved with program facilitation. Design team participants only rated the final item, &#x0201c;Facilitators communicated effectively,&#x0201d; at the end of each design team meeting. All program facilitator and research staff raters were fully unaware of workers&#x02019; self-reported efficacy outcomes. Total scores on the modified PERS ranged from 0-65, with higher scores indicating better program implementation quality. We then classified study groups by modified PERS scores into low (0-22), medium (23-45), and high (46-65) groups. We calculated domain scores of the modified PERS as means and total modified PERS scores as sums of the 13 items within the three domains.</p></sec><sec id="S12"><title>Multifaceted Organizational Health Climate Assessment (MOHCA)</title><p id="P22">The MOHCA evaluates organizational health climate, or &#x0201c;employee perceptions of active support from coworkers, supervisors, and upper management for the physical and psychological well-being of employees.&#x0201d;<sup><xref rid="R31" ref-type="bibr">31</xref></sup> We used the MOHCA to assess three levels of organizational health climate: (1) workgroup, (2) supervisor, and (3) organizational. Individuals completed surveys at baseline, 6-months, 12-months, 18-months, and 24-months and rated questions on an ordinal scale ranging from 0 (strongly disagree) to 6 (strongly agree). We used the average MOHCA scores of workers in our analyses.</p></sec><sec id="S13"><title>Job Content Questionnaire (JCQ)</title><p id="P23">The JCQ is a standardized survey that assesses domains of perceived psychological demands, decision latitude, social support, physical demands, and job insecurity in workers. We used the 6-item subscales of perceived coworker support and perceived supervisor support.<sup><xref rid="R30" ref-type="bibr">30</xref></sup> Individuals rated questions on an ordinal scale ranging from 1 (strongly disagree) to 4 (strongly agree). We used JCQ scores of individual workers in our analyses.</p></sec><sec id="S14"><title>Data Analysis</title><p id="P24">We completed statistical analyses with SAS Software 9.4 (Cary, NC) to analyze all study data. Descriptive analyses included calculating scores for PERS, MOHCA, and JCQ, as well as modified PERS and process measure scores. Then, we evaluated trends in modified PERS and process measure scores. Changes in organizational health climate and perceived coworker and supervisor support means were evaluated from baseline to 12-, 18-, and 24-months to evaluate the relationship between workgroup activities and short-term outcomes sustained with lower research team involvement. Spearman&#x02019;s rank correlation coefficients were analyzed to evaluate associations between modified PERS and process measure scores on the one hand and short-term outcome measures on the other. We accounted for data nesting in our analyses by adding random intercepts to our models and applied a significance level of <italic toggle="yes">p</italic>&#x0003c;.05 for all hypothesis testing. In addition, prior to completing analyses, we assessed the amounts and patterns of missing process and outcomes data. Participants who completed the baseline survey as well as at least one of the follow-up surveys (12-, 18-, or 24-months) were included in analyses. In line with the parent trial&#x02019;s analytic protocol, we assessed outcomes on an intent-to-treat basis and used linear mixed models to analyze available data and handle missing follow-up data.</p></sec></sec><sec id="S15"><title>Results</title><sec id="S16"><title>Participant Information</title><p id="P25">The parent trial allocated 11 workgroups and 608 participants to treatment at baseline, representing approximately 42% of eligible workers in the treatment workgroups. This analysis of those data included 407 participants who included data at baseline and at least one follow-up survey at 12-, 18-, and 24-months. 308 participants contributed data at 12-months, 281 contributed data at 18-months, and 237 contributed data at 24-months. At each timepoint prior to analyzing differences by implementation quality, grand mean and standard deviation measures of MOHCA, JCQ coworker support, and JCQ supervisor support were similar despite attrition (data not shown). At baseline, study participants were predominantly female, with an average BMI in the obese range (&#x02265;30 kg/m<sup>2</sup>). The majority were Black, and had some education beyond high school. Only 16% of participants reported an annual household income of greater than $70,000 (approximately the median household income in the study area during this time period); 44% had a household income less than $30,000 (approximately the poverty level). At baseline, distributions of age, race, education, income level, and cohabitation status differed significantly between workgroups with low, medium, and high PERS scores. Distributions of weight, MOHCA, and JCQ scores were not statistically different across groups at baseline (<xref rid="T2" ref-type="table">Table II</xref>).</p></sec><sec id="S17"><title>Associations between implementation measures and the modified PERS</title><p id="P26">We first evaluated associations between the modified PERS total and subscale scores with our design team process measures derived from the program facilitator intervention logs. <xref rid="T3" ref-type="table">Table III</xref> presents a heat map comparing modified PERS scores to the design team process and implementation measures gathered throughout the 24-month study period. The heat map shows that groups with higher modified PERS scores (i.e., more green and yellow cells) tended to have higher process measure scores, indicating better overall program quality. Design teams with more orange and red cells had lower modified PERS scores, indicating poorer program implementation quality. We also identified statistically significant correlations between the overall score and domain scores of the modified PERS with the major endpoint of number of interventions delivered by each design team (<italic toggle="yes">r<sub>s</sub></italic>=0.74-0.91, <italic toggle="yes">p</italic>&#x0003c;0.05; data not shown).</p></sec><sec id="S18"><title>Associations between implementation and short-term outcomes</title><p id="P27">Next, we evaluated associations between changes in overall organizational health climate (assessed by the MOHCA) and perceived coworker and supervisor support (assessed by the JCQ) to changes in overall PERS scores from baseline to 12, 18, and 24 months. We compared work groups with low (0-22), medium (23-45), and high (46-65) modified PERS scores to understand associations between intervention implementation quality and short-term efficacy. Overall, we observed larger improvements in MOHCA and JCQ scores from baseline among work groups with higher modified PERS scores, and the groups sustained this trend throughout the first twelve months. Work groups with the highest PERS scores experienced a positive change in organizational health climate at 12 months (&#x00394;MOHCA mean [95% CI] from baseline=0.57 [0.33, 0.80]) and 18 months (&#x00394;MOHCA mean [95% CI] from baseline=0.31 [0.06, 0.55]). Work groups with the highest PERS scores also had a statistically significant change in perceived supervisor support at 12 months (&#x00394;JCQ mean [95% CI] from baseline=0.63 [0.08, 1.17]). There were no statistically significant changes over time among work groups with low and medium PERS scores, nor were there statistically significant changes between baseline scores and 24-month scores in any of the work groups (<xref rid="T4" ref-type="table">Table IV</xref>).</p><p id="P28">We then calculated Spearman correlation coefficients between MOHCA scores (i.e., the short-term organizational health climate outcome) and facets of program implementation and process measures, including program fidelity (i.e., modified PERS scores), dose (i.e., meetings attended and engagement), and design-team generated solutions among all employees in the intervention work groups. Last, we evaluated associations between overall organizational health climate scores in all employees in the intervention work groups with higher quality of program implementation at the design team-level as indicated by modified PERS overall and subscale scores. We found statistically significant associations between MOHCA scores and each of the subscales (management support and engagement, health team engagement, and program facilitation effectiveness) at 12-months (<italic toggle="yes">r</italic><sub>s</sub>=0.14-0.21, <italic toggle="yes">p</italic>&#x0003c;.05) but not at 18 or 24 months (Table V). We found that the number of interventions generated was associated with each of the modified PERS subscales, including management support, design team engagement, program implementation, and total scores (<italic toggle="yes">r</italic><sub>s</sub>=0.74-0.91, <italic toggle="yes">p</italic>&#x0003c;.05; data not shown).</p></sec></sec><sec id="S19"><title>Discussion</title><p id="P29">We demonstrated the utility of the modified PERS in participatory worker program process evaluation frameworks. The modified PERS scores were associated with multiple program process measures made during the intervention, indicating that the PERS provides a summary measure of implementation quality. The modified PERS was also associated with changes over time in workers&#x02019; perceptions of organizational health climate, and perceptions of social support from supervisors and co-workers. These findings indicate that the modified PERS may be useful for specifying associations between implementation quality and short-term efficacy outcomes. Our findings partially supported our hypothesis that higher PERS scores would be associated with better process measures, MOHCA, and JCQ scores. Associations between modified PERS and process measures also demonstrated that the PERS measures implementation quality as expected. Work groups with higher modified PERS scores showed higher scores on process measures taken during the intervention. Moreover, work groups with higher modified PERS scores experienced greater increases in MOHCA and JCQ scores from baseline during the WFY intervention, although these groups did not sustain these changes after the first 12 months of the intervention, and not all subcategories and items demonstrated expected associations.</p><p id="P30">Our findings also demonstrated associations between the modified PERS and short-term program efficacy measures including improved scores on the MOHCA and the JCQ. In addition, the MOHCA and JCQ scores over time demonstrated stronger associations with changes in modified PERS scores than with other process measures. Taken together, these findings suggest the modified PERS may be useful in holistically assessing program implementation quality in participatory workforce interventions. Our findings also suggest future directions below to develop better tools for assessing participatory processes in worker health programs.</p><p id="P31">First, using a breadth of process and efficacy measures within participatory workforce programs may better elucidate connections between implementation quality and short-term efficacy outcomes. Although measures within our framework captured a change in perceived organizational health climate among groups with high levels of program quality at 12 months, these associations weakened by 24 months. Facilitator notes indicated that the design teams&#x02019; engagement with the program tapered off over time. This highlights the importance of maintaining high levels of implementation quality throughout a long-term workforce intervention. Although our findings showed positive associations between the implementation measures and short-term efficacy measures at 12-months, these positive associations diminished by 24-months, even among groups with high overall implementation quality. One potential explanation for this effect is that sustaining design team engagement may be challenging over time, and the research team noted challenges with sustaining engagement in a time-intensive program.</p><p id="P32">Second, other studies corroborate that sustaining a participatory workforce intervention requires sustained high-level engagement from a variety of stakeholders to obtain changes in desired outcomes.<sup><xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R15" ref-type="bibr">15</xref>,<xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R28" ref-type="bibr">28</xref></sup> Better understanding sustainability challenges that continually impact participatory workforce programs requires the development of measures, tools, and evaluation frameworks.<sup><xref rid="R28" ref-type="bibr">28</xref>,<xref rid="R35" ref-type="bibr">35</xref></sup> For example, the Program Sustainability Assessment Tool is a tool that specifically measures the sustainability of a complex community-based program.<sup><xref rid="R38" ref-type="bibr">38</xref>,<xref rid="R39" ref-type="bibr">39</xref></sup> To our knowledge, this tool has not been used in workplaces for the purpose of assessing participatory worker health promotion programs, so occupational safety and health practitioners may seek to use the Program Sustainability Assessment Tool in future participatory worker health promotion programs.</p><p id="P33">In our evaluation of the modified PERS&#x02019; association with perceived supervisor support, all participants, including the highest scoring modified PERS groups, experienced a larger drop in perceived supervisor support than in perceived coworker support or organizational health climate throughout WFY implementation. This indicated that future studies of participatory workforce intervention may consider more closely assessing quality of worker-supervisor relationships, sustainment of supervisor support, and organization-level leadership changes that influence programs over time.<sup><xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R16" ref-type="bibr">16</xref></sup> Furthermore, better distinguishing between the quantity and quality of administrative support for programs and workers&#x02019; perceptions of administrators and leaders may inform our understanding of the relative influence of observed and perceived support of participatory worker programs.</p><p id="P34">Finally, although the efficacy of the program diminished over time, our study offered evidence of the modified PERS&#x02019; usefulness to capture associations between implementation factors and program efficacy. Because implementation quality and desired outcomes are often associated,<sup><xref rid="R21" ref-type="bibr">21</xref></sup> observing implementation via process measures and rating implementation via tools like the modified PERS offers further options to evaluate the quality of program implementation. Individual observations of a process such as counts of meetings attended may ignore perceived features influencing an intervention&#x02019;s success, such as perceptions of stakeholder engagement and intervention implementation, which may influence implementation outcomes such as acceptability or feasibility.<sup><xref rid="R16" ref-type="bibr">16</xref>,<xref rid="R25" ref-type="bibr">25</xref>,<xref rid="R40" ref-type="bibr">40</xref></sup> Further, the modified PERS enables researchers and participants to measure holistic information quickly and efficiently about the quality of design teams that implement programs in an intervention such as WFY. The modified PERS enables research teams to quickly assess over- or under-performing groups in a participatory intervention at any timepoint of implementation.</p><p id="P35">Our study has several limitations. First, a majority of participants were female and non-Hispanic Black, so future studies should seek to replicate findings in other demographic groups to generalize findings. Other factors such as institution-level policy changes and changes in management and work unit staff over the course of the WFY program may have influenced assessments within or among the groups. For example, some of the work groups were completing participation in the parent trial during the early months of the COVID-19 pandemic in 2020. We were unable to evaluate the extent to which changes to workplace policies and worker health and well-being confounded overall results. Our study protocol also only measured staff turnover during recruitment, so the attrition of individual workers due to turnover within participating work units may also have influenced findings.</p><p id="P36">Second, our team only rated modified PERS scores at one time point, after the conclusion of the study. Thus, we may have overlooked details from earlier in the study implementation during our rating process. The associations between process measures collected during the study and the modified PERS scores are not surprising, as the modified PERS raters were sometimes the program facilitators who had recorded some of these process measures from team meetings. Future studies may seek to expand assessment time points or incorporate rigorous interrater reliability processes, and collect additional data on contextual factors and implementation factors affecting participatory worker approaches.<sup><xref rid="R40" ref-type="bibr">40</xref>,<xref rid="R41" ref-type="bibr">41</xref></sup></p><p id="P37">Third, although low-, medium-, and high-PERS groups had similar MOCHA and JCQ scores at baseline, sociodemographic characteristics varied among the three groups. Thus, additional unmeasured sociodemographic factors outside of our process evaluation framework may have influenced our limited study outcomes,<sup><xref rid="R42" ref-type="bibr">42</xref></sup> such as perceived organizational health climate and work support over time. Moreover, work units consenting to participate in a worker weight loss program likely had stronger health cultures and climates compared with non-participating units. Future study protocols should measure more factors related to these outcomes and include more than 11 work groups to adequately sample a range of worker, work unit, and organizational features which exist in complex workplaces. Assessing changes to weight and differential treatment effects in participants with and without obesity was beyond the scope of this exploratory study. However, adjusting classifications of obesity to include ethnicity-specific cut-offs, rather than a generic BMI &#x02265; 30 kg/m<sup>2</sup> cut-off, may facilitate more precise evaluations of BMI changes.</p><p id="P38">In summary, our findings indicated the utility of the modified PERS in our process evaluation framework as well as the modified PERS&#x02019; associations with short-term efficacy measures of organizational health climate and perceived supervisor support. As clinicians and researchers develop participatory workplace health programs, embedding rigorously developed tools and evaluation frameworks within programs may facilitate higher quality targeted action towards improving worker health. In addition, our findings underscore the importance of including a breadth of measures to fully capture the implementation quality and efficacy in participatory worker programs.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Supplement 1</label><media xlink:href="NIHMS2178739-supplement-Supplement_1.docx" id="d69e597" position="anchor"/></supplementary-material><supplementary-material id="SD2" position="float" content-type="local-data"><label>Supplement 2</label><media xlink:href="NIHMS2178739-supplement-Supplement_2.docx" id="d69e600" position="anchor"/></supplementary-material></sec></body><back><ack id="S21"><title>Acknowledgments</title><p id="P40">Sources of Support Relevant to Publication: We acknowledge the National Institute of Diabetes and Digestive and Kidney Diseases, Centers for Disease Control/National Institute for Occupational Safety and Health, National Institute on Minority Health and Health Disparities, Washington University McDonnell International Scholars Academy, and Program in Occupational Therapy at the Washington University School of Medicine for their grant support of this project. We also acknowledge all participants, healthcare system administrators, and research staff who assisted with the planning and implementation of this project.</p><sec id="S22"><title>Funding Sources for All Authors:</title><p id="P41">We acknowledge these funding sources for the work performed: 1) Grant sponsor: National Institute of Diabetes and Digestive and Kidney Diseases; Grant numbers: R01DK103760 and P30DK092950. 2) Grant sponsor: The Centers for Disease Control/National Institute for Occupational Safety and Health; Grant number: U19OH008868. 3) Grant sponsor: Washington University McDonnell International Scholars Academy; Grant number: N/A. 4) Grant sponsor: The Program in Occupational Therapy at the Washington University School of Medicine; Grant number: N/A. 5) Grant sponsor: National Institute on Minority Health and Health Disparities; Grant number: F32MD020253.</p></sec></ack><fn-group><fn id="FN2"><p id="P42">EQUATOR Network Checklist Utilized: No checklist was utilized because the study is a process evaluation, not a controlled trial or observational study.</p></fn><fn id="FN3"><p id="P43">AI Statement: No AI was utilized in any of the hypothesis generation, data collection, data evaluation, and manuscript preparation stages.</p></fn><fn fn-type="COI-statement" id="FN4"><p id="P44">Ethical Considerations and Disclosures: We conducted this study at the Washington University School of Medicine in conjunction with partners in the BJC Healthcare system. All study participants gave written informed consent. We adhered to all relevant ethical guidelines required by these institutions and our federal funders (i.e., the National Institutes of Health and Centers for Disease Control). We registered the parent study protocol on <ext-link xlink:href="http://ClinicalTrials.gov" ext-link-type="uri">ClinicalTrials.gov</ext-link> (<ext-link xlink:href="http://Clinicaltrials.gov" ext-link-type="uri">Clinicaltrials.gov</ext-link>: <ext-link xlink:href="https://clinicaltrials.gov/ct2/show/NCT02934113" ext-link-type="uri">NCT02934113</ext-link>; Date registered: 10-14-2016). We registered the study with the Washington University School of Medicine Institutional Review Board (ID: 201505131). The authors declare no conflicts of interest.</p></fn></fn-group><sec sec-type="data-availability" id="S20"><title>Data Availability:</title><p id="P39">All data are available from the authors upon reasonable request.</p></sec><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="webpage"><collab>United States Bureau of Labor Statistics</collab>. <source>Employment status of the noninstitutional population, 1950s to date</source>. Updated <date-in-citation>May 2, 2025</date-in-citation>. 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</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1.</label><caption><p id="P45">Overall modified PERS scores and intervention process measure scores.<sup>a,b</sup> Shading in the heat map is adjusted in each row to compare relative implementation quality on each item across workgroups; green shading indicates high quality, and darker and lighter shades indicate higher and lower quality, respectively; yellow and orange shading indicate medium quality, and darker and lighter shades indicate poorer and lower quality, respectively; red shading indicates low quality, and darker and lighter shades indicate poorer and lower quality, respectively. *Scores rated as not applicable (NA) when items could not be rated in two groups with one or no meetings. <sup>a</sup>Post-study researcher-rated modified PERS scores are averages of subscales rated on a scale of 1 (strongly disagree) to 5 (strongly agree). Higher scores indicate higher quality. <sup>b</sup>Process measures and ratings from intervention logs are derived from the research team's observed measures. Rated measures on a scale of 1 to 5 are averaged from multiple researcher ratings. N, no; P, partial; PERS, Process Evaluation Rating Sheet.</p></caption><graphic xlink:href="nihms-2178739-f0001" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>Table 1.</label><caption><p id="P46">Study Logic Model and Evaluation Framework</p></caption><table frame="box" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="3" align="center" valign="top" rowspan="1">IMPLEMENTATION AND PROCESS</th><th colspan="2" align="center" valign="top" rowspan="1">PROGRAM EFFICACY</th></tr></thead><tbody><tr><td rowspan="2" align="center" valign="middle" style="border-right: solid 1px; border-bottom: solid 1px" colspan="1">Indicators</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Inputs</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Activities</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Outputs</italic>
</td><td rowspan="2" align="left" valign="top" style="border-bottom: solid 1px" colspan="1">&#x02022;Short-term efficacy outcomes</td><td rowspan="2" align="left" valign="top" style="border-bottom: solid 1px" colspan="1">&#x02022;Intermediate efficacy outcomes</td><td rowspan="2" align="left" valign="top" style="border-bottom: solid 1px" colspan="1">&#x02022;Long-term efficacy outcomes</td></tr><tr><td align="left" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">&#x02022;Facilitator, design team, and management engagement</td><td align="left" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">&#x02022;Quality of meetings, process, and feedback</td><td align="left" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">&#x02022;Developing, testing, implementing, and supporting ideas</td></tr><tr><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">Measures</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02022;Process Evaluation Rating Sheet (PERS)<break/>&#x02022;Intervention Logs</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02022;Process Evaluation Rating Sheet (PERS)<break/>&#x02022;Intervention Logs</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02022;Number of interventions implemented</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02022;Multifaceted Organizational Health Climate Assessment (MOHCA)<break/>&#x02022;Job Content Questionnaire (JCQ)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02022;Use of workplace health supports</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02022;Body Mass Index (BMI; kg/m<sup>2</sup>)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P47">Note. Adapted from <xref rid="R14" ref-type="bibr">Strickland et al. (2019)</xref>.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>Table 2.</label><caption><p id="P48">Demographics at Baseline Stratified by Modified PERS Levels</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1">Total,<break/><italic toggle="yes">N</italic>=407 workers, <break/>11 groups</th><th align="center" valign="bottom" rowspan="1" colspan="1">Low Modified PERS (0-22),<break/><italic toggle="yes">n</italic>=112 workers,<break/>2 groups</th><th align="center" valign="bottom" rowspan="1" colspan="1">Medium Modified PERS (23-45),<break/><italic toggle="yes">n</italic>=152 workers,<break/>5 groups)</th><th align="center" valign="bottom" rowspan="1" colspan="1">High Modified PERS (46-65),<break/><italic toggle="yes">n</italic>=143 workers,<break/>4 groups</th><th align="center" valign="bottom" rowspan="1" colspan="1">
<italic toggle="yes">p</italic>
<xref rid="TFN3" ref-type="table-fn">*</xref>
</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Baseline weight, kg, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">90.4 &#x000b1; 24.3</td><td align="center" valign="top" rowspan="1" colspan="1">91.3 &#x000b1; 24.7</td><td align="center" valign="top" rowspan="1" colspan="1">90.6 &#x000b1; 25.0</td><td align="center" valign="top" rowspan="1" colspan="1">89.5 &#x000b1; 23.5</td><td align="center" valign="top" rowspan="1" colspan="1">0.84</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Baseline BMI, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">33.0 &#x000b1; 8.7</td><td align="center" valign="top" rowspan="1" colspan="1">33.6 &#x000b1; 8.9</td><td align="center" valign="top" rowspan="1" colspan="1">33.2 &#x000b1; 8.8</td><td align="center" valign="top" rowspan="1" colspan="1">32.5 &#x000b1; 8.4</td><td align="center" valign="top" rowspan="1" colspan="1">0.60</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Female gender, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">302 (74.4)</td><td align="center" valign="top" rowspan="1" colspan="1">82 (73.9)</td><td align="center" valign="top" rowspan="1" colspan="1">113 (74.3)</td><td align="center" valign="top" rowspan="1" colspan="1">107 (74.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0.99</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age, years, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">41.8 &#x000b1; 12.9</td><td align="center" valign="top" rowspan="1" colspan="1">43.5 &#x000b1; 14.3</td><td align="center" valign="top" rowspan="1" colspan="1">39.8 &#x000b1; 12.1</td><td align="center" valign="top" rowspan="1" colspan="1">42.5 &#x000b1; 12.3</td><td align="center" valign="top" rowspan="1" colspan="1">0.04</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Race</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Black/African American, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">250 (61.7)</td><td align="center" valign="top" rowspan="1" colspan="1">91 (81.3)</td><td align="center" valign="top" rowspan="1" colspan="1">91 (60.3)</td><td align="center" valign="top" rowspan="1" colspan="1">68 (47.9)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">White/Caucasian, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">135 (33.3)</td><td align="center" valign="top" rowspan="1" colspan="1">15 (13.4)</td><td align="center" valign="top" rowspan="1" colspan="1">52 (34.4)</td><td align="center" valign="top" rowspan="1" colspan="1">68 (47.9)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Other, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">20 (4.9)</td><td align="center" valign="top" rowspan="1" colspan="1">6 (5.4)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (5.3)</td><td align="center" valign="top" rowspan="1" colspan="1">6 (4.2)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Hispanic, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">7 (1.8)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (2.8)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (2.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0 (0.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.14</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Education</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">High school or lower, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">116 (28.9)</td><td align="center" valign="top" rowspan="1" colspan="1">57 (51.8)</td><td align="center" valign="top" rowspan="1" colspan="1">34 (23.0)</td><td align="center" valign="top" rowspan="1" colspan="1">25 (17.5)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Technical school/Some college, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">231 (57.6)</td><td align="center" valign="top" rowspan="1" colspan="1">43 (39.1)</td><td align="center" valign="top" rowspan="1" colspan="1">95 (64.2)</td><td align="center" valign="top" rowspan="1" colspan="1">93 (65.0)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">College graduate or post-graduate, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">54 (13.5)</td><td align="center" valign="top" rowspan="1" colspan="1">10 (9.1)</td><td align="center" valign="top" rowspan="1" colspan="1">19 (12.8)</td><td align="center" valign="top" rowspan="1" colspan="1">25 (17.5)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Annual household income</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">0-$30,000, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">173 (43.6)</td><td align="center" valign="top" rowspan="1" colspan="1">80 (74.1)</td><td align="center" valign="top" rowspan="1" colspan="1">57 (38.8)</td><td align="center" valign="top" rowspan="1" colspan="1">36 (25.4)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">$30,001-$70,000, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">160 (40.3)</td><td align="center" valign="top" rowspan="1" colspan="1">23 (21.3)</td><td align="center" valign="top" rowspan="1" colspan="1">64 (43.5)</td><td align="center" valign="top" rowspan="1" colspan="1">73 (51.4)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">$70,001+, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">64 (16.1)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (4.6)</td><td align="center" valign="top" rowspan="1" colspan="1">26 (17.7)</td><td align="center" valign="top" rowspan="1" colspan="1">33 (23.2)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Lives with significant other, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">191 (47.0)</td><td align="center" valign="top" rowspan="1" colspan="1">46 (41.1)</td><td align="center" valign="top" rowspan="1" colspan="1">64 (42.4)</td><td align="center" valign="top" rowspan="1" colspan="1">81 (56.6)</td><td align="center" valign="top" rowspan="1" colspan="1">0.02</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">MOHCA at baseline</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Management support, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">4.3 &#x000b1; 1.6</td><td align="center" valign="top" rowspan="1" colspan="1">4.3 &#x000b1; 1.6</td><td align="center" valign="top" rowspan="1" colspan="1">4.2 &#x000b1; 1.6</td><td align="center" valign="top" rowspan="1" colspan="1">4.2 &#x000b1; 1.4</td><td align="center" valign="top" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Workgroup support, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">4.4 &#x000b1; 1.5</td><td align="center" valign="top" rowspan="1" colspan="1">4.6 &#x000b1; 1.7</td><td align="center" valign="top" rowspan="1" colspan="1">4.4 &#x000b1; 1.5</td><td align="center" valign="top" rowspan="1" colspan="1">4.3 &#x000b1; 1.5</td><td align="center" valign="top" rowspan="1" colspan="1">0.61</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Organizational support, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">4.6 &#x000b1; 1.5</td><td align="center" valign="top" rowspan="1" colspan="1">4.5 &#x000b1; 1.6</td><td align="center" valign="top" rowspan="1" colspan="1">4.45&#x000b1; 1.5</td><td align="center" valign="top" rowspan="1" colspan="1">4.7 &#x000b1; 1.4</td><td align="center" valign="top" rowspan="1" colspan="1">0.59</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total score, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">4.4 &#x000b1; 1.4</td><td align="center" valign="top" rowspan="1" colspan="1">4.5 &#x000b1; 1.5</td><td align="center" valign="top" rowspan="1" colspan="1">4.4 &#x000b1; 1.4</td><td align="center" valign="top" rowspan="1" colspan="1">4.4 &#x000b1; 1.3</td><td align="center" valign="top" rowspan="1" colspan="1">0.96</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">JCQ at baseline</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Coworker support, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">12.0 &#x000b1; 1.9</td><td align="center" valign="top" rowspan="1" colspan="1">11.8 &#x000b1; 2.3</td><td align="center" valign="top" rowspan="1" colspan="1">11.5 &#x000b1; 2.2</td><td align="center" valign="top" rowspan="1" colspan="1">11.5 &#x000b1; 2.1</td><td align="center" valign="top" rowspan="1" colspan="1">0.67</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Supervisor support, M (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">12.3 &#x000b1; 2.5</td><td align="center" valign="top" rowspan="1" colspan="1">11.3 &#x000b1; 3.2</td><td align="center" valign="top" rowspan="1" colspan="1">11.3 &#x000b1; 2.9</td><td align="center" valign="top" rowspan="1" colspan="1">11.7 &#x000b1; 2.8</td><td align="center" valign="top" rowspan="1" colspan="1">0.37</td></tr></tbody></table><table-wrap-foot><fn id="TFN2"><p id="P49">Note. MOHCA=Multifaceted Organizational Health Climate Assessment; JCQ=Job Content Questionnaire</p></fn><fn id="TFN3"><label>*</label><p id="P50"><italic toggle="yes">p</italic>-values based on &#x003c7;<sup>2</sup> tests for categorical variables and one-way ANOVA for continuous variables; <italic toggle="yes">p</italic>-values for MOHCA and JCQ scores have random intercepts to account for correlations within groups.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>Table 3.</label><caption><p id="P51">Hierarchical Regressions Predicting Change in MOHCA and JCQ Scores at 12, 18, and 24 mo. Among Modified PERS Groups</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">MOHCA</th><th align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">JCQ Coworker Support</th><th align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">JCQ Supervisor Support</th></tr><tr><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">Change from<break/>Baseline<xref rid="TFN7" ref-type="table-fn">*</xref>, mean<break/>(95% CI)<xref rid="TFN8" ref-type="table-fn">&#x02020;</xref>
<xref rid="TFN9" ref-type="table-fn">&#x02021;</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Change from<break/>Baseline<xref rid="TFN7" ref-type="table-fn">*</xref>, mean<break/>(95% CI)<xref rid="TFN8" ref-type="table-fn">&#x02020;</xref>
<xref rid="TFN9" ref-type="table-fn">&#x02021;</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Change from<break/>Baseline<xref rid="TFN7" ref-type="table-fn">*</xref>, mean<break/>(95% CI)<xref rid="TFN8" ref-type="table-fn">&#x02020;</xref>
<xref rid="TFN9" ref-type="table-fn">&#x02021;</xref></th></tr></thead><tbody><tr><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">12 mo. follow up</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS low (scores 0-22)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.13 (&#x02212;0.44, 0.18)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.23 (&#x02212;0.75, 0.28)</td><td align="center" valign="top" rowspan="1" colspan="1">0.60 (&#x02212;0.09, 1.28)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS medium (scores 23-45)</td><td align="center" valign="top" rowspan="1" colspan="1">0.08 (&#x02212;0.14, 0.29)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.04 (&#x02212;0.43, 0.35)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.06 (&#x02212;0.58, 0.45)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS high (scores 46-65)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.57 (0.33, 0.80)</bold>
<sup>
<xref rid="TFN5" ref-type="table-fn">a</xref>
</sup>
</td><td align="center" valign="top" rowspan="1" colspan="1">0.17 (&#x02212;0.25, 0.59)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.63 (0.08, 1.17)</bold>
<sup>
<xref rid="TFN6" ref-type="table-fn">b</xref>
</sup>
</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">18 mo. follow up</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS low (scores 0-22)</td><td align="center" valign="top" rowspan="1" colspan="1">0.16 (&#x02212;0.18, 0.51)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.34 (&#x02212;0.91, 0.23)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.56 (&#x02212;1.30, 0.18)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS medium (scores 23-45)</td><td align="center" valign="top" rowspan="1" colspan="1">0.20 (&#x02212;0.03, 0.43)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.16 (&#x02212;0.56, 0.25)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.25 (&#x02212;0.78, 0.29)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS high (scores 46-65)</td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.31 (0.06, 0.55)</bold>
<sup><xref rid="TFN6" ref-type="table-fn">b</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">0.15 (&#x02212;0.29, 0.60)</td><td align="center" valign="top" rowspan="1" colspan="1">0.14 (&#x02212;0.42, 0.71)</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">24 mo. follow up</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS low (scores 0-22)</td><td align="center" valign="top" rowspan="1" colspan="1">0.05 (&#x02212;0.44, 0.54)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.65 (&#x02212;1.42, 0.11)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.07 (&#x02212;1.12, 0.99)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS medium (scores 23-45)</td><td align="center" valign="top" rowspan="1" colspan="1">0.15 (&#x02212;0.08, 0.39)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.08 (&#x02212;0.50, 0.34)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.30 (&#x02212;0.85, 0.24)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">PERS high (scores 46-65)</td><td align="center" valign="top" rowspan="1" colspan="1">0.23 (&#x02212;0.03, 0.48)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.01 (&#x02212;0.46, 0.44)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.39 (&#x02212;0.99, 0.20)</td></tr></tbody></table><table-wrap-foot><fn id="TFN4"><p id="P52">Note. MOHCA=Multifaceted Organizational Health Climate Assessment; JCQ=Job Content Questionnaire; PERS=Process Evaluation Rating Sheet</p></fn><fn id="TFN5"><label>a</label><p id="P53"><italic toggle="yes">p</italic>&#x0003c;.01</p></fn><fn id="TFN6"><label>b</label><p id="P54"><italic toggle="yes">p</italic>&#x0003c;.05</p></fn><fn id="TFN7"><label>*</label><p id="P55">Score at follow up assessment minus baseline score.</p></fn><fn id="TFN8"><label>&#x02020;</label><p id="P56">Mean changes and CIs are estimated from the regression model. They take hierarchical structure into account and will vary slightly from raw means.</p></fn><fn id="TFN9"><label>&#x02021;</label><p id="P57">P values derived from linear mixed model with each outcome (MOHCA, JCQ measures) as the dependent variable and PERS category, time point (baseline, 6, 12, 18, 24 months) and the interaction of PERS category and time point as the independent variables (fixed effects). Random intercepts for work group and participant were included to account for the hierarchical structure of the data.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4" orientation="landscape"><label>Table 4.</label><caption><p id="P58">Associations Among Process Measure, Modified PERS, and MOHCA Scores From Baseline to 12-, 18-, and 24-month Follow-up</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" style="border-bottom: solid 1px" rowspan="1" colspan="1"/><th colspan="3" align="center" valign="middle" style="border-bottom: solid 1px" rowspan="1">Correlation with <break/>MOHCA</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1"/><th align="center" valign="middle" rowspan="1" colspan="1">12 mo.<break/><italic toggle="yes">r<sub>s</sub></italic></th><th align="center" valign="middle" rowspan="1" colspan="1">18 mo.<break/><italic toggle="yes">r<sub>s</sub></italic></th><th align="center" valign="middle" rowspan="1" colspan="1">24 mo.<break/><italic toggle="yes">r<sub>s</sub></italic></th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<italic toggle="yes">Post-study, Researcher-rated</italic>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">PERS Total</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.18</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">0.04</td><td align="center" valign="middle" rowspan="1" colspan="1">0.09</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;&#x02003;Management support and engagement</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.19</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">0.04</td><td align="center" valign="middle" rowspan="1" colspan="1">0.08</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;&#x02003;Design team engagement</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.19</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">0.08</td><td align="center" valign="middle" rowspan="1" colspan="1">0.02</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;&#x02003;Program implementation effectiveness</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.21</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">0.07</td><td align="center" valign="middle" rowspan="1" colspan="1">0.05</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<italic toggle="yes">Process Measures and Ratings from Intervention Logs</italic>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Management support</td><td align="center" valign="middle" rowspan="1" colspan="1">0.13</td><td align="center" valign="middle" rowspan="1" colspan="1">0.09</td><td align="center" valign="middle" rowspan="1" colspan="1">0.06</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Management communication</td><td align="center" valign="middle" rowspan="1" colspan="1">0.15</td><td align="center" valign="middle" rowspan="1" colspan="1">0.09</td><td align="center" valign="middle" rowspan="1" colspan="1">0.05</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Program dose</td><td align="center" valign="middle" rowspan="1" colspan="1">0.16</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;0.05</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Number of interventions delivered</td><td align="center" valign="middle" rowspan="1" colspan="1">0.15</td><td align="center" valign="middle" rowspan="1" colspan="1">0.01</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Program materials delivered as planned</td><td align="center" valign="middle" rowspan="1" colspan="1">0.06</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Research facilitator responsiveness</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.14</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">0.05</td><td align="center" valign="middle" rowspan="1" colspan="1">0.04</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Research facilitator communication</td><td align="center" valign="middle" rowspan="1" colspan="1">0.07</td><td align="center" valign="middle" rowspan="1" colspan="1">0.08</td><td align="center" valign="middle" rowspan="1" colspan="1">0.13</td></tr></tbody></table><table-wrap-foot><fn id="TFN10"><p id="P59">Note. <italic toggle="yes">r<sub>s</sub></italic>=Spearman&#x02019;s rank correlation coefficient; <bold>bold values</bold>=<italic toggle="yes">p</italic>&#x0003c;.05; MOHCA=Multifaceted Organizational Health Climate Assessment; PERS=Process Evaluation Rating Scale</p></fn><fn id="TFN11"><label>&#x02020;</label><p id="P60"><italic toggle="yes">p</italic>-values from hierarchical linear models where MOHCA is the outcome and process measure and interaction of process measure and time point (12, 18, 24 months) are the independent variables.</p></fn><fn id="TFN12"><p id="P61">Random intercepts for work group and participant scores were included to account for hierarchical structure of the data.</p></fn><fn id="TFN13"><p id="P62">Analyses exclude work units 10 and 11.</p></fn></table-wrap-foot></table-wrap><boxed-text id="BX1" position="float"><caption><title>Bulleted Learning Outcomes:</title></caption><list list-type="bullet" id="L2"><list-item><p id="P63">Readers will identify the utility of a modified Process Evaluation Rating Sheet for assessing implementation quality of participatory workplace weight loss programs.</p></list-item><list-item><p id="P64">Readers will evaluate the relationship between characteristics of implementation quality and program efficacy in a participatory workplace weight loss program.</p></list-item></list></boxed-text></floats-group></article>