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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" 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">8501884</journal-id><journal-id journal-id-type="pubmed-jr-id">5061</journal-id><journal-id journal-id-type="nlm-ta">J Perinatol</journal-id><journal-id journal-id-type="iso-abbrev">J Perinatol</journal-id><journal-title-group><journal-title>Journal of perinatology : official journal of the California Perinatal Association</journal-title></journal-title-group><issn pub-type="ppub">0743-8346</issn><issn pub-type="epub">1476-5543</issn></journal-meta><article-meta><article-id pub-id-type="pmid">34253843</article-id><article-id pub-id-type="pmc">9198846</article-id><article-id pub-id-type="doi">10.1038/s41372-021-01146-y</article-id><article-id pub-id-type="manuscript">HHSPA1812683</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Seven years later: state neonatal risk-appropriate care policy consistency with the 2012 American Academy of Pediatrics Policy</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Kroelinger</surname><given-names>Charlan D.</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-8815-7402</contrib-id><xref rid="A1" ref-type="aff">1</xref><xref rid="CR1" ref-type="corresp">&#x02709;</xref></contrib><contrib contrib-type="author"><name><surname>Rice</surname><given-names>Marion E.</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Okoroh</surname><given-names>Ekwutosi M.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>DeSisto</surname><given-names>Carla L.</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-9065-7070</contrib-id><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Barfield</surname><given-names>Wanda D.</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-5875-0475</contrib-id><xref rid="A1" ref-type="aff">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.</aff><aff id="A2"><label>2</label>Centers for Disease Control and Prevention Foundation, Atlanta, GA, USA.</aff><author-notes><fn fn-type="con" id="FN1"><p id="P1">AUTHOR CONTRIBUTIONS</p><p id="P2">C.D.K. validated all policy data excerpts, reviewed the coding of data, and prepared and edited the whole manuscript. M.E.R. reviewed all original sources of data, extracted data from policies, and created the coding categories for the analysis. E.M.O. validated all policy data excerpts, reviewed the coding of data, and drafted the <xref rid="S5" ref-type="sec">introduction</xref> and <xref rid="S6" ref-type="sec">methods</xref> sections of the paper. C.L.D. reviewed the <xref rid="S11" ref-type="sec">results</xref> section, refined the data tables, and provided editorial review of the manuscript. W.D.B. conceptualized the analysis and manuscript, developed the outline for the manuscript structure, and provided editorial review of the manuscript.</p></fn><corresp id="CR1"><label>&#x02709;</label><bold>Correspondence</bold> and requests for materials should be addressed to C.D.K. <email>ckroelinger@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>9</day><month>6</month><year>2022</year></pub-date><pub-date pub-type="ppub"><month>5</month><year>2022</year></pub-date><pub-date pub-type="epub"><day>12</day><month>7</month><year>2021</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>5</month><year>2023</year></pub-date><volume>42</volume><issue>5</issue><fpage>595</fpage><lpage>602</lpage><permissions><license><license-p><bold>Reprints and permission information</bold> is available at <ext-link ext-link-type="uri" xlink:href="http://www.nature.com/reprints">http://www.nature.com/reprints</ext-link></license-p></license><license><license-p>This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021</license-p></license></permissions><abstract id="ABS1"><sec id="S1"><title>OBJECTIVE:</title><p id="P3">To assess consistency of state neonatal risk-appropriate care policies with the 2012 AAP policy seven years post-publication.</p></sec><sec id="S2"><title>STUDY DESIGN:</title><p id="P4">Systematic, web-based review of all publicly available 2019 state neonatal levels of care policies. Information on infant risk (gestational age, birth weight), technology and equipment capabilities, and availability of specialty staffing used to define neonatal levels of care was extracted for review.</p></sec><sec id="S3"><title>RESULT:</title><p id="P5">Half of states (50%) had a neonatal risk-appropriate care policy. Of those states, 88% had language consistent with AAP-defined Level I criteria, 80% with Level II, 56% with Level III, and 55% with Level IV. Comparing policies (2014&#x02013;2019), consistency increased in state policies among all levels of care with the greatest increase among level IV criteria.</p></sec><sec id="S4"><title>CONCLUSION:</title><p id="P6">States improved consistency of policy language by each level of care, though half of states still lack policy to provide minimum standards of care to the most vulnerable infants.</p></sec></abstract></article-meta></front><body><sec id="S5"><title>INTRODUCTION</title><p id="P7">Neonatal risk-appropriate care is the designation of a delivery facility to provide care to infants with a range of complications and risks using established minimum standards [<xref rid="R1" ref-type="bibr">1</xref>]. The concept of risk-appropriate care was defined in the March of Dimes 1976 publication of <italic toggle="yes">Toward Improving the Outcomes of Pregnancy</italic> (TIOP I) [<xref rid="R2" ref-type="bibr">2</xref>] and refined in the later versions (TIOP II and TIOP III) [<xref rid="R3" ref-type="bibr">3</xref>, <xref rid="R4" ref-type="bibr">4</xref>] with input from clinical membership organizations. The primary clinical membership organization leading neonatal risk-appropriate care guideline development, the American Academy of Pediatrics (AAP), defines levels of care based on infant risk, equipment capabilities, and availability of specialty care. In 2012, the AAP published a policy on neonatal levels of care which provides guidance on the minimum requirements for a facility to function at Levels I, II, III, or IV [<xref rid="R1" ref-type="bibr">1</xref>]. Level I facilities are considered birthing centers or community hospitals focused on delivering healthy infants and transferring those in need of more complex services to a higher level facility, while Level IV, the highest level, provides the most comprehensive care to the highest-risk infants. The 2012 AAP policy, first published by the Committee on Fetus and Newborn, was reaffirmed with no change in 2015 [<xref rid="R5" ref-type="bibr">5</xref>]. The 2012 AAP policy is concurrently published in the <italic toggle="yes">Guidelines for Perinatal Care</italic> (GPC), a joint publication by AAP and the American College of Obstetricians and Gynecologists/Society for Maternal-Fetal Medicine (ACOG/SMFM), to provide practicing clinicians the latest guidelines for quality care of pregnant women and newborns [<xref rid="R6" ref-type="bibr">6</xref>]. Though the 2012 AAP policy is intended to inform best clinical practices for appropriate, comprehensive care of infants ranging from healthy to high-risk, the 2012 AAP policy may also be used to develop, improve, or augment statewide, state-based policies for neonatal service levels. Designation of risk-appropriate levels to facilities for the provision of care based on neonatal risk, or perinatal regionalization, assures regionalized systems function by transfer of women and neonates to facilities with available capabilities to provide quality care appropriate to patient needs [<xref rid="R6" ref-type="bibr">6</xref>].</p><p id="P8">State policies, often developed by state health departments, identify the regulatory authority and monitoring requirements for health systems within a state [<xref rid="R7" ref-type="bibr">7</xref>], provide guidance on minimum standards for neonatal care services such as transport of patients to higher level facilities as appropriate [<xref rid="R8" ref-type="bibr">8</xref>], and outline standards for telemedicine services [<xref rid="R9" ref-type="bibr">9</xref>]. Previous assessment by Blackmon, Barfield, and Stark of information included in state-level neonatal levels of care policies indicate these policies include regulatory sources, functional criteria for provision of services, utilization criteria, and compliance mechanisms [<xref rid="R10" ref-type="bibr">10</xref>]. Findings suggest variability in the structure, content, and reach of neonatal levels of care policies, and attribute such differences to divergent geographic or demographic composition of states. More recent assessments confirm previous findings and identify the transfer of high-risk patients as an action to improve risk-appropriate care in states by targeting measurement of patient volume, or facility utilization, to determine infant survivability [<xref rid="R11" ref-type="bibr">11</xref>]. Though informative, these assessments occurred prior to the publication of the 2012 AAP policy.</p><p id="P9">In 2014, publicly available state neonatal levels of care policies were systematically reviewed to assess consistency with the 2012 AAP policy [<xref rid="R12" ref-type="bibr">12</xref>]. Results indicated that two years post-publication of the 2012 AAP policy, 22 state policies included language on at least one level of care, and of those policies, 60% contained language consistent with Level I care, 48% with Level II, 14% with Level III, and 6% with Level IV. The purpose of the current policy review is to assess the proportion of states with language on neonatal levels of care consistent with the 2012 AAP policy, including review for consistency by care criteria (i.e., infant risk, equipment capabilities, and availability of specialty staffing). Additionally, state policy review results from 2014 are compared with results from 2019 to determine changes in consistency by care criteria among states with published policies at both time points.</p></sec><sec id="S6"><title>MATERIALS AND METHODS</title><sec id="S7"><title>Study design and data collection process</title><p id="P10">For this study, systematic review of web-based, publicly available information on neonatal levels of care policies, legislation, statutes, regulations, procedures, codes, and rules published by state agencies or state governments were completed for all 50 states from January through August of 2019 using search engines such as Google or Bing. Policy information was abstracted and categorized by AAP level of care requirements including infant risk information, equipment capabilities, and availability of specialty staffing. Information was captured by two abstractors and independently verified by a third. To ensure accuracy of the web-based search, abstractors randomly selected nine state health departments for direct contact to validate identified publicly available policy information.</p></sec><sec id="S8"><title>Study definitions</title><p id="P11">Study authors categorized abstracted information into three criteria: (1) infant risk information (i.e., gestational age and/or birth weight requirements); (2) technology and equipment (i.e., ventilation and imaging capability requirements); and (3) availability of pediatric surgical specialty and subspecialty requirements based on each level of care. Detailed definitions of study criteria were published elsewhere [<xref rid="R12" ref-type="bibr">12</xref>]. In brief, we defined each level of care based on criteria established in the 2012 AAP policy statement [<xref rid="R1" ref-type="bibr">1</xref>], which are also published within GPC guidelines for pregnant women and neonates [<xref rid="R6" ref-type="bibr">6</xref>]. Level I facility criteria included care of infants 35&#x02013;37 weeks gestation with the capability to provide neonatal resuscitation and stabilization then transfer to a higher level facility as needed (<xref rid="T1" ref-type="table">Table 1</xref>). Level II facility criteria included the same criteria as Level I, and care of infants greater than 32 weeks or weighing more than 1500 g who may be moderately ill or may need transfer to a facility with available subspecialty services; additionally, Level II criteria include the capability and equipment to provide mechanical ventilation and/or continuous positive airway pressure (CPAP), and portable X-ray. Level III facility criteria consisted of the same criteria as Level II with comprehensive care for infants less than 32 weeks gestation or weighing less than 1500 g who may require medical subspecialty services; capabilities and equipment consisting of the full range of complex respiratory support such as conventional and/or high-frequency ventilation or inhaled nitric oxide with advanced physiologic monitoring including tomography, magnetic resonance imaging (MRI), or echocardiography; and pediatric surgical specialists and subspecialists readily accessible by consultation. Finally, Level IV facility criteria included care of all infants, with provision of the full range of capabilities and equipment for complex patients including Level III requirements, and pediatric surgical specialty and subspecialty staffing available on-site.</p><p id="P12">Consistency with criteria was determined by review of state policy language for inclusion of risk-appropriate infant care requirements by gestational age and/or birth weight, capabilities, equipment, and staffing as outlined in the 2012 AAP policy. Consistency by the level of care was assessed by review of each criterion described within a level followed by assessment of all criteria required in the 2012 AAP policy to meet minimum standards for that level. State policy language which met the minimum standards described by the 2012 AAP policy for all criteria required for that level was defined as consistent with the 2012 AAP policy. Each state policy was assessed by the individual level of care such that a state may be considered consistent for one level of care, but inconsistent for another level of care if not all minimum criteria defined in the 2012 AAP policy were described as required. Additionally, if a state policy included language that described a level of care as meeting the most recently published GPC standards [<xref rid="R6" ref-type="bibr">6</xref>], it was defined as consistent with the 2012 AAP policy. For example, a state policy may have included specific language stating that facilities operating at a defined level of care would be required to meet the minimum standards described for that level in the most recent version of the GPC. A state policy was determined &#x02018;not consistent&#x02019; by a level of care if any criterion required within that level did not include language meeting the minimum standard as defined in the 2012 AAP policy or reference the most recent version of the GPC.</p></sec><sec id="S9"><title>Data summary process and validation</title><p id="P13">Independent validation of policy categories was conducted by study authors (C.D.K., M.E.R., E.M.O.) to ensure consistent interpretation of abstracted language. Policy information was reviewed and confirmed by study authors and discrepancies in policy language interpretation noted. For identified discrepancies, one author (M.E.R.) reviewed original policy information, abstracted further contextual language if available, and provided any new abstracted information for discussion among all authors. Follow-up review and discussion concluded when consensus on the level of care and criteria consistency was reached. Following the data collection period during the validation process (August 2019 to May 2020), two changes to state policies occurred and were updated in the dataset: one state policy was repealed, and one state policy was updated, removing the original source from publicly available websites. The former state policy was removed from the analysis and the latter state policy was replaced with updated language.</p></sec><sec id="S10"><title>Statistical methods</title><p id="P14">Descriptive counts and percentages of state policy language by criteria and level of care were completed among states with neonatal levels of care policy in 2019. Among states with a policy, consistency with the 2012 AAP policy was assessed for each state-defined level of care based on the language included within the policy. To describe changes in policy language over time, state policies available in both 2014 and 2019 were compared to determine changes in policy language by the level of care overall and by each criterion. The study did not require Institutional Review Board approval by the Centers for Disease Control and Prevention (CDC), as it did not include human subjects and was considered public health practice.</p></sec></sec><sec id="S11"><title>RESULTS</title><p id="P15">In 2019, 25 states had a publicly available neonatal levels of care policy, though the number of states with policies available for each level varied (<xref rid="T2" ref-type="table">Table 2</xref>). For states with policy language defining Level I minimum requirements (<italic toggle="yes">n</italic> = 24), 88% were consistent with the 2012 AAP policy for the required criteria of infant risk information, specifically gestational age, and 100% for ventilation capabilities. For states with Level II policy language (<italic toggle="yes">n</italic> = 25), 80% were consistent with infant risk information (i.e., both birth weight and gestational age). For each infant risk criterion, 88% were consistent for birth weight and 88% for gestational age. Examining ventilation capabilities, 92% of states were consistent, and similarly, 92% were consistent with imaging equipment capabilities. For states with Level III policy language (<italic toggle="yes">n</italic> = 25), 76% of state policies were consistent with infant risk information; specifically, 76% were consistent with the birth weight requirements and 88% with gestational age requirements. For equipment capabilities, 80% were consistent with ventilation requirements, and 88% with imaging requirements. Additionally, 88% were consistent with pediatric surgical specialty requirements and 72% with pediatric surgical subspecialty requirements. For Level IV policies (<italic toggle="yes">n</italic> = 22), 64% were consistent with infant risk information (64% consistent with birth weight requirements and 73% for gestational age), 82% for ventilation capabilities, and 77% for imaging capabilities. Further, 77% were consistent with pediatric surgery specialty staffing and 73% with pediatric surgical subspecialty staffing requirements. When considering infant risk information, capabilities, and staffing, states were variably consistent by the level of care with the 2012 AAP policy (<xref rid="F1" ref-type="fig">Fig. 1A</xref>&#x02013;<xref rid="F1" ref-type="fig">D</xref>).</p><sec id="S12"><title>Description of consistency between 2014 and 2019</title><p id="P16">In 2014 and 2019, 21 states had policies on neonatal levels of care (<xref rid="T3" ref-type="table">Table 3</xref>). When describing the level of care, overall consistency with the 2012 AAP policy increased from 2014 to 2019 for all levels and all criteria. Consistency of policy language for all minimum standards for Level I (i.e., both infant gestational age and ventilation capabilities) increased from 12 to 17 states, and for all Level II criteria (i.e., infant birth weight and gestational age, ventilation capabilities, and imaging equipment) from 10 to 16 states. Consistency more than tripled for all Level III criteria (i.e., infant birth weight and gestational age, ventilation and imaging equipment capabilities, and availability of staffing) from 3 to 11 states, and substantially increased for Level IV from 1 to 10 states. The largest changes in specific criteria by year occurred for Level IV policies, with increases in the number of state policies including language on infant risk information and availability of surgical specialty and subspecialty staffing.</p></sec></sec><sec id="S13"><title>DISCUSSION</title><p id="P17">Seven years post-publication of the 2012 AAP policy, state-level policies for neonatal levels of care have been published in half of states in the US. Less states with Levels III and IV criteria in the state policy language were consistent with the 2012 AAP policy than Levels I or II. Though the overall number of states with neonatal levels of care policy only increased by four between 2014 and 2019, the language within existing policies was amended by many more states to be consistent with the minimum requirements of the 2012 AAP policy, an important finding indicating an increase in care consistency standards across many states. Mostly, states included new, amended, or revised language on criteria consistent with the 2012 AAP policy for Levels III and IV, or the highest-level facilities. Our findings are not surprising as the 2012 AAP policy established the highest level of care based on risk assessment and management, Level IV care, representing recent clinical advancements for the most vulnerable infants [<xref rid="R1" ref-type="bibr">1</xref>]. Level IV care is separate from the Level III stepped care (i.e., Level IIIA, IIIB, IIIC, and IIID) as defined in previous policies [<xref rid="R13" ref-type="bibr">13</xref>]. Though decades since the original TIOP I and the establishment of levels of care [<xref rid="R2" ref-type="bibr">2</xref>], developing care standards for Level IV facilities is a necessary next step for updating state policies that designate oversight authority and regulate health systems. To address these changes, many state policies in our study included language referencing the most recent version of the GPC directly for all levels of care, which clearly outlines the requirements for each level of care [<xref rid="R6" ref-type="bibr">6</xref>].</p><p id="P18">Consistency in state neonatal levels of care policies with the 2012 AAP policy may improve the delivery of standardized quality care to address high rates of infant morbidity and mortality as well as disparities in neonatal outcomes. Though neonatal levels of care policies focus on the provision of services rather than patient characteristics, ensuring minimum standards are monitored in all delivery facilities within a state helps assure equitable access to quality care meeting the needs of all patients. However, discordance in available critical care services for high-risk pregnant women and infants may be attributable to differences in geography, demography, or regulatory practices [<xref rid="R11" ref-type="bibr">11</xref>], and new studies provide further evidence for disparities in care by geographic location [<xref rid="R14" ref-type="bibr">14</xref>, <xref rid="R15" ref-type="bibr">15</xref>]. Nonetheless, geographic location is not the only barrier to accessing quality services [<xref rid="R16" ref-type="bibr">16</xref>]; other structural determinants such as race impact quality of care. Profit, Gould, and Bennett et al. (2017) examined racial and ethnic disparities in the provision of Neonatal Intensive Care Unit (NICU) care and found disparities exist in the quality of care, most pronounced in NICUs serving high-risk neonates [<xref rid="R17" ref-type="bibr">17</xref>]. Suboptimal and differential care of neonates in NICUs may be influenced by disparate perceptions of families [<xref rid="R18" ref-type="bibr">18</xref>], including differential communication and responsiveness of providers [<xref rid="R19" ref-type="bibr">19</xref>], and variable or potentially underestimated morbidities of very preterm birth infants by race and ethnicity [<xref rid="R20" ref-type="bibr">20</xref>, <xref rid="R21" ref-type="bibr">21</xref>]. Further focus on issues of equity and care standards is warranted to assure neonates receive standardized, comparable treatment and services as outlined in current levels of care policies, regardless of place, race, or ethnicity [<xref rid="R22" ref-type="bibr">22</xref>].</p><p id="P19">In our previous publication on neonatal levels of care regulation, we found that policies with direct oversight by a designated authority (e.g., a state health department) may offer monitoring for provision of services through facility reporting or site visits, though only 20% of states (10 of 50) require site visits for ongoing monitoring [<xref rid="R7" ref-type="bibr">7</xref>]. Comprehensive evaluation of existing state levels of care policies requires ongoing monitoring and review, an essential component to ensure the provision of care includes current clinical evidence and best practices to improve systematic, risk-appropriate care in all delivery facilities. Clinical membership organizations offer verification programs to assist states in monitoring the provision of care in facilities. For instance, the AAP NICU Verification Program is designed to review NICU programs and verify the specific standards for a level of care [<xref rid="R23" ref-type="bibr">23</xref>].</p><p id="P20">Similarly, the ACOG/SMFM maternal levels of care verification program, piloted in three states, provides a comprehensive review of maternal services [<xref rid="R24" ref-type="bibr">24</xref>]. Additionally, the CDC offers the Levels of Care Assessment Tool (LOCATe<sup>&#x000ae;</sup>) to provide a high-level assessment of both neonatal and maternal levels of care. While not comprehensive in assessing all aspects of clinical guidance, CDC LOCATe<sup>&#x000ae;</sup> is a tool for states to use for engaging stakeholders in discussion of improvements for risk-appropriate care across hospital systems [<xref rid="R25" ref-type="bibr">25</xref>, <xref rid="R26" ref-type="bibr">26</xref>], and has been included in similar policy reviews [<xref rid="R27" ref-type="bibr">27</xref>].</p><p id="P21">Furthermore, state public health programs are essential to support the consistent implementation of neonatal risk-appropriate care policies. For instance, Perinatal Quality Collaboratives (PQCs) are statewide networks of provider teams working to improve the quality of care for mothers and newborns, offering the opportunity to implement quality improvement initiatives that focus on capabilities outlined by levels of care policies in all types of delivery facilities [<xref rid="R28" ref-type="bibr">28</xref>, <xref rid="R29" ref-type="bibr">29</xref>]. State PQCs have addressed issues ranging from increasing the use of antenatal steroids among premature neonates [<xref rid="R30" ref-type="bibr">30</xref>] and referral of neonates at NICU discharge for high-risk infant follow-up programs [<xref rid="R31" ref-type="bibr">31</xref>], to the development of delivery room readiness clinical checklists with communication standards [<xref rid="R32" ref-type="bibr">32</xref>] and perinatal outcomes linkage of clinical and administrative data to inform variable reporting within systems [<xref rid="R33" ref-type="bibr">33</xref>]. Evidence suggests that PQCs, in partnership with state health departments and other collaborative initiatives such as communities of practice (e.g., Vermont-Oxford Network) or review committees (e.g., Fetal and Infant Mortality Review, Maternal Mortality Review Committees), could offer the stakeholder partnerships necessary to fully implement best clinical practices and levels of care standards statewide [<xref rid="R34" ref-type="bibr">34</xref>&#x02013;<xref rid="R36" ref-type="bibr">36</xref>].</p><p id="P22">Among the 50% of states without publicly available policies, reasons for lack of a policy vary and may include lengthy clinical, statutory or legislative review processes, limited awareness of public health evidence among leadership [<xref rid="R37" ref-type="bibr">37</xref>], or de-regionalized, less regulated systems of care [<xref rid="R7" ref-type="bibr">7</xref>, <xref rid="R38" ref-type="bibr">38</xref>&#x02013;<xref rid="R40" ref-type="bibr">40</xref>]. Policies focusing on care standards for neonates may require extended review, approval, and implementation timelines as new treatments or pharmaco-logical therapies are limited [<xref rid="R41" ref-type="bibr">41</xref>, <xref rid="R42" ref-type="bibr">42</xref>] that impact provision of care, and in turn, revision of standards of care. Yet specific programs targeting care standards, such as the Neonatal Resuscitation Program<sup>&#x000ae;</sup> (NRP<sup>&#x000ae;</sup>) [<xref rid="R43" ref-type="bibr">43</xref>], offer alternative approaches to addressing the lack of a statewide policy for neonatal levels of care. The NRP<sup>&#x000ae;</sup> provides training on the most recent evidence-based practice guidelines and education to improve the quality management of care provision and outcomes for newborns [<xref rid="R43" ref-type="bibr">43</xref>]. For states with significant rural or frontier geography, training through the NRP<sup>&#x000ae;</sup> may increase neonatal stabilization prior to higher level facility transport and decrease unnecessary interventions while increasing odds of survival [<xref rid="R44" ref-type="bibr">44</xref>]. Among states with policies, most include training through the NRP<sup>&#x000ae;</sup> for Level I facilities, potentially improving neonatal stabilization prior to transfer in areas with limited regionalized systems.</p><p id="P23">Available service capacity and payment may also affect NICU utilization, resulting in larger rates of admission for lower acuity neonates to sustain revenue [<xref rid="R45" ref-type="bibr">45</xref>&#x02013;<xref rid="R47" ref-type="bibr">47</xref>]. Health care financing and reimbursement are driven by costs incurred for provider and hospital services, pharmaceuticals, diagnostic testing, and other administrative fees [<xref rid="R48" ref-type="bibr">48</xref>], presenting a barrier for systems changes to standardize care provision beyond negotiated rates or formularies. While knowledge of medical costs and reimbursement for services in the NICU is variable among neonatal providers [<xref rid="R49" ref-type="bibr">49</xref>], providers are aware of different payment models such as pay for performance [<xref rid="R50" ref-type="bibr">50</xref>, <xref rid="R51" ref-type="bibr">51</xref>], fee-for-service, or bundled payments [<xref rid="R38" ref-type="bibr">38</xref>] linked to value-based care [<xref rid="R52" ref-type="bibr">52</xref>]. Such payment models utilized by hospital systems function independent of designated authorities responsible for the regulation of statewide policies, driving a disconnect between the provision of services, reimbursement revenue, and levels of care resultant in barriers to quality improvement and systems change. To address challenges in service capacity and reimbursement, grants or enhanced payments have been identified as incentives for participating in regionalized networks [<xref rid="R11" ref-type="bibr">11</xref>]. Designated authorities may develop reimbursement payment methodologies by facilitating inter-system transport policies between hospital systems, or negotiating telemedicine policies to augment services in smaller, more isolated facilities. Such agreements between hospital systems may offer reimbursement strategies that support regionalized care and could be scalable among separate hospital systems functioning at variable levels of care.</p><p id="P24">Limitations exist when interpreting our study findings. We only reviewed publicly available policies, potentially excluding policies unavailable or unpublished publicly. We did not contact all states to confirm that the publicly available policies included in our review were the most current, and therefore, may have missed amended policies not yet available. However, in contacting nine states to validate policy findings, all were confirmed as accurate, an indication that the review was comprehensive and reflected the most recent publicly available information. Additionally, since data collection occurred in 2019, new policies may have been published more recently or amended, which are not included in this study. Finally, although policies are intended to define minimum standards of care by level across states, in practice, capabilities and staffing may not reflect minimum standards, and self-designation of facilities by a level may differ from policy definitions. Despite these limitations, our review presents new information on how state policies have increased in consistency with the 2012 AAP policy, providing evidence of improved policies on standardized capabilities, equipment, and staffing by levels of neonatal care across states.</p></sec><sec id="S14"><title>CONCLUSION</title><p id="P25">Neonatal levels of care policies contain the minimum standards for delivery facilities in the US to provide quality care for infants based on risk status. Though existing state policies are variably consistent with the 2012 AAP policy, 50% of states do not have a neonatal levels of care policy, potentially impacting care provision for high-risk neonates. Verification programs, ongoing monitoring and reviews, state public health programs, clinical training programs, and health system reimbursement strategies provide opportunity for states to better establish, review, and monitor neonatal services. Continuing to focus on equitable, standardized care of infants, particularly those born too early or too soon, may have a long-term impact on the morbidity and mortality of the most vulnerable members of the US.</p></sec></body><back><ack id="S15"><title>ACKNOWLEDGEMENTS</title><p id="P26">The authors would like to thank Keriann Uesugi and graduate students from the University of Illinois at Chicago for supporting the policy updates for this work. The authors would also like to thank the members of the Committee on Fetus and Newborn of the American Academy of Pediatrics and the Association of State and Territorial Health Officials for feedback during an invited in-person discussion on neonatal levels of care in Atlanta, GA, on July 16, 2019.</p></ack><fn-group><fn id="FN2"><p id="P27" content-type="publisher-disclaimer">CDC DISCLAIMER</p><p id="P28">The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.</p></fn><fn fn-type="COI-statement" id="FN4"><p id="P29">COMPETING INTERESTS</p><p id="P30">The authors declare no competing interests.</p></fn></fn-group><ref-list><title>REFERENCES</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><collab>American Academy of Pediatrics</collab>. <article-title>Policy statement: levels of neonatal care</article-title>. <source>Pediatrics</source>
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light gray represents states with a Level I policy but not consistent with all Level I requirements in the 2012 AAP Policy (N = 3); and dark gray represents states with a Level I policy and consistent with the 2012 AAP Policy criteria (N = 21). <bold>b</bold> White represents states without a Level II policy (N = 25); light gray represents states with a Level II policy but not consistent with all Level II requirements in the 2012 AAP Policy (N = 5); and dark gray represents states with a Level II policy and consistent with the 2012 AAP Policy criteria (N = 20). <bold>c</bold> White represents states without a Level III policy (N = 25); light gray represents states with a Level III policy but not consistent with all Level III requirements in the 2012 AAP Policy (N = 11); and dark gray represents states with a Level III policy and consistent with the 2012 AAP Policy criteria (N = 14). <bold>d</bold> White represents states without a Level IV policy (N = 28); light gray represents states with a Level IV policy but not consistent with all Level IV requirements in the 2012 AAP Policy (N = 10); and dark gray represents states with a Level IV policy and consistent with the 2012 AAP Policy criteria (N = 12).</p></caption><graphic xlink:href="nihms-1812683-f0001" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>Table 1.</label><caption><p id="P32">Defined minimum criteria and categories for each level of neonatal care using the 2012 AAP Policy<sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup>.</p></caption><table frame="void" rules="rows"><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="top" rowspan="1" colspan="1">Criteria</th><th align="left" valign="top" rowspan="1" colspan="1">Categories<sup><xref rid="TFN2" ref-type="table-fn">b</xref></sup></th><th align="left" valign="top" rowspan="1" colspan="1">Level I<sup><xref rid="TFN3" ref-type="table-fn">c</xref></sup></th><th align="left" valign="top" rowspan="1" colspan="1">Level II<sup><xref rid="TFN4" ref-type="table-fn">d</xref></sup></th><th align="left" valign="top" rowspan="1" colspan="1">Level III</th><th align="left" valign="top" rowspan="1" colspan="1">Level IV</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth weight</td><td align="left" valign="top" rowspan="1" colspan="1">Specified</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gestational age</td><td align="left" valign="top" rowspan="1" colspan="1">Specified</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td rowspan="3" align="left" valign="top" colspan="1">Ventilation capabilities</td><td align="left" valign="top" rowspan="1" colspan="1">Full range or complex respiratory support; conventional and/or high-frequency ventilation and inhaled nitric oxide</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mechanical ventilation and/or CPAP (transfer as needed)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Neonatal resuscitation and stabilization (transfer as needed)</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td rowspan="2" align="left" valign="top" colspan="1">Imaging capabilities</td><td align="left" valign="top" rowspan="1" colspan="1">Advanced physiologic monitoring equipment including tomography, magnetic resonance imaging, or echocardiography</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Equipment including portable X-ray (transfer as needed)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td rowspan="2" align="left" valign="top" colspan="1">Pediatric surgical capabilities</td><td align="left" valign="top" rowspan="1" colspan="1">Full range available on-site</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Readily accessible by consultation</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td rowspan="2" align="left" valign="top" colspan="1">Pediatric surgical subspecialty capabilities</td><td align="left" valign="top" rowspan="1" colspan="1">Full range available on-site</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Readily accessible by consultation</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">X</td><td align="left" valign="top" rowspan="1" colspan="1">X</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>a</label><p id="P33">Adapted from a previous publication [<xref rid="R12" ref-type="bibr">12</xref>].</p></fn><fn id="TFN2"><label>b</label><p id="P34">Criteria with multiple categories are listed from highest capability to lowest capability.</p></fn><fn id="TFN3"><label>c</label><p id="P35">Blank spaces indicate that the 2012 AAP Policy does not require those criteria be defined for that level of neonatal care. States may include those capabilities in a policy to provide higher level care to neonates.</p></fn><fn id="TFN4"><label>d</label><p id="P36">An &#x02018;X&#x02019; represents capabilities consistent with the minimum standard required for that level of care as defined by the 2012 AAP Policy.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>Table 2.</label><caption><p id="P37">Count and percentage of state policy consistency with 2012 AAP policy by criteria and level of care, 2019 (N = 25).</p></caption><table frame="void" rules="rows"><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"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="3" align="left" valign="top" colspan="1">Overall consistency within levels and consistency by criteria</th><th colspan="8" align="left" valign="top" rowspan="1">States consistent or not consistent by each neonatal level of care<sup><xref rid="TFN5" ref-type="table-fn">a</xref></sup></th></tr><tr><th colspan="2" align="left" valign="top" rowspan="1">Level I (<italic toggle="yes">N</italic> = 24)</th><th colspan="2" align="left" valign="top" rowspan="1">Level II (<italic toggle="yes">N</italic> = 25)</th><th colspan="2" align="left" valign="top" rowspan="1">Level III (<italic toggle="yes">N</italic> = 25)</th><th colspan="2" align="left" valign="top" rowspan="1">Level IV (<italic toggle="yes">N</italic> = 22)</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Consistent<sup><xref rid="TFN6" ref-type="table-fn">b</xref></sup> Count (%)</th><th align="left" valign="top" rowspan="1" colspan="1">Not consistent Count(%)</th><th align="left" valign="top" rowspan="1" colspan="1">Consistent Count (%)</th><th align="left" valign="top" rowspan="1" colspan="1">Not consistent Count (%)</th><th align="left" valign="top" rowspan="1" colspan="1">Consistent Count (%)</th><th align="left" valign="top" rowspan="1" colspan="1">Not consistent Count (%)</th><th align="left" valign="top" rowspan="1" colspan="1">Consistent Count (%)</th><th align="left" valign="top" rowspan="1" colspan="1">Not consistent Count(%)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Overall consistency</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>21 (87.5%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3 (12.5%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>20 (80.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>5 (20.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>14 (56.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>11 (44.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>12 (54.5%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>10 (45.5%)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">States</td><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, GA, IL, IN, IA, LA, MD, MA, MS, MO, NV, NJ, NY, OH, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, NC, PA</td><td align="left" valign="top" rowspan="1" colspan="1">AR, CA,<sup><xref rid="TFN7" ref-type="table-fn">c</xref></sup> GA, IL, IN, IA, KY, LA, MD, MS, MO, NV, NY, OH, PA, SC, TN, TX, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, MA, NJ, NC, VA</td><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, IN, KY, LA, MD, MS, MO, NV, OH, PA, SC, TN, UT</td><td align="left" valign="top" rowspan="1" colspan="1">AL, GA, IL, IA, MA, NJ, NY, NC, TX, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">GA, IN, IA, KY, MD, MS, MO, OH, SC, TN, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, AR, CA, IL, LA, NJ, NY, NC, TX, VA</td></tr><tr><td colspan="9" align="left" valign="top" rowspan="1">
<bold>Criteria consistency</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Birth weight</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;<sup><xref rid="TFN8" ref-type="table-fn">d</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>22 (88.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3 (12.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>19 (76.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>6 (24.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>14 (63.6%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>8 (36.4%)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">States</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, GA, IL, IN, IA, KY, LA, MD, MS, MO, NV, NJ, NY, OH, PA, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, MA, NC</td><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, GA, IN, IA, KY, LA, MD, MS, MO, NV, NJ, NY, OH, PA, SC, TN, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, IL, MA, NC, TX, VA</td><td align="left" valign="top" rowspan="1" colspan="1">GA, IN, IA, KY, MD, MS, MO, NJ, NY, OH, SC, TN, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, AR, CA, IL, LA, NC, TX, VA</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Gestational age</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>21 (87.5%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3 (12.5%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>22 (88.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3 (12.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>22 (88.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3 (12.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>16 (72.7%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>6 (27.3%)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">States</td><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, GA, IL, IN, IA, LA, MD, MA, MS, MO, NV, NJ, NY, OH, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, NC, PA</td><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, GA, IL, IN, IA, KY, LA, MD, MA, MS, MO, NV, NJ, NY, OH, PA, SC, TN, TX, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, NC, VA</td><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, GA, IN, IA, KY, LA, MD, MA, MS, MO, NV, NJ, NY, NC, OH, PA, SC, TN, TX, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, IL, VA</td><td align="left" valign="top" rowspan="1" colspan="1">GA, IN, IA, KY, MD, MS, MO, NJ, NY, NC, OH, SC, TN, TX, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, AR, CA, IL, LA, VA</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Ventilation capabilities</bold>
<sup>
<xref rid="TFN9" ref-type="table-fn">e</xref>
</sup>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>24 (100.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0 (0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>23 (92.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2 (8.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>20 (80.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>5 (20.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>18 (81.8%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>4 (18.2%)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">States</td><td align="left" valign="top" rowspan="1" colspan="1">AL, AR, CA, GA, IL, IN, IA, LA, MD, MA, MS, MO, NV, NJ, NY, NC, OH, PA, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, GA, IL, IN, IA, KY, LA, MD, MA, MS, MO, NV, NJ, NY, OH, PA, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, NC</td><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, GA, IN, IA, KY, LA, MD, MA, MS, MO, NV, NY, OH, PA, SC, TN, TX, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, IL, NJ, NC, VA</td><td align="left" valign="top" rowspan="1" colspan="1">AR, GA, IN, IA, KY, LA, MD, MS, MO, NJ, NY, OH, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, CA, IL, NC</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Imaging capabilities</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>23 (92.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2 (8.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>22 (88.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3 (12.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>17 (77.3%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>5 (22.7%)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">States</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">AL, AR, CA, GA, IL, IN, IA, KY, LA, MD, MA, MS, MO, NV, NY, OH, PA, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">NJ, NC</td><td align="left" valign="top" rowspan="1" colspan="1">AL, AR, CA, GA, IL, IN, IA, KY, LA, MD, MA, MS, MO, NV, OH, PA, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">NJ, NY, NC</td><td align="left" valign="top" rowspan="1" colspan="1">AR, GA, IL, IN, IA, KY, LA, MD, MS, MO, OH, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, CA, NJ, NY, NC</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Pediatric surgical capabilities</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>22 (88.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3 (12.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>17 (77.3%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>5 (22.7%)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">States</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">AL, AR, CA, GA, IL, IN, IA, KY, LA, MD, MA, MS, MO, NV, NY, OH, PA, SC, TN, TX, UT, WA</td><td align="left" valign="top" rowspan="1" colspan="1">NJ, NC, VA</td><td align="left" valign="top" rowspan="1" colspan="1">AR, GA, IL, IN, IA, KY, LA, MD, MS, MO, OH, SC, TN, TX, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, CA, NJ, NY, NC</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Pediatric surgical subspecialty capabilities</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>18 (72.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>7 (28.0%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>16 (72.7%)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>6 (27.3%)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">States</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">AR, CA, IL, IN, KY, LA, MD, MA, MS, MO, NV, NY, OH, PA, SC, TN, TX, UT</td><td align="left" valign="top" rowspan="1" colspan="1">AL, GA, IA, NJ, NC, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AR, GA, IL, IN, IA, KY, LA, MD, MS, MO, OH, SC, TN, UT, VA, WA</td><td align="left" valign="top" rowspan="1" colspan="1">AL, CA, NJ, NY, NC, TX</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><label>a</label><p id="P38">Some states may only publish policies for certain levels. The &#x0201c;<italic toggle="yes">N</italic>&#x0201d; located in each column represents the number of states with a published policy specifically defining that level.</p></fn><fn id="TFN6"><label>b</label><p id="P39">To be included as consistent within a criterion, the state policy must include language on the minimum capabilities consistent with the 2012 AAP Policy or note criterion consistency with the most recent version of the <italic toggle="yes">Guidelines for Perinatal Care</italic> (GPC). Ten (10) states noted consistency with the GPC for one or more levels of care: California, Kentucky, Mississippi, Missouri, Nevada, Ohio, Pennsylvania, South Carolina, Tennessee, and Utah.</p></fn><fn id="TFN7"><label>c</label><p id="P40">The state policy defines a set of criteria that supersede the 2012 AAP policy criteria.</p></fn><fn id="TFN8"><label>d</label><p id="P41">A dash, or &#x02018;&#x02013;,&#x02019; is used for levels that do not require those criteria as defined in the 2012 AAP policy.</p></fn><fn id="TFN9"><label>e</label><p id="P42">For Level I ventilation capabilities, 14 of 24 states include requirements for certification of staff with the Neonatal Resuscitation Program (NRP<sup>&#x000ae;</sup>). Those states are Arkansas, California, Georgia, Illinois, Indiana, Louisiana, Maryland, Massachusetts, Mississippi, Ohio, South Carolina, Tennessee, Texas, and Washington. NRP<sup>&#x000ae;</sup> requirements may exceed the minimum ventilation capability requirements for Level I facilities as defined by the 2012 AAP policy. For Level II ventilation capabilities, 13 of 23 states include requirements for certification of staff with the NRP<sup>&#x000ae;</sup>. Those states are Arkansas, California, Georgia, Indiana, Louisiana, Maryland, Massachusetts, Mississippi, Ohio, South Carolina, Tennessee, Texas, and Washington. NRP<sup>&#x000ae;</sup> requirements meet the minimum ventilation capability requirements for Level II facilities.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>Table 3.</label><caption><p id="P43">Descriptive summary of overall and within-criteria consistency of state policies by the 2012 AAP policy in 2014<sup><xref rid="TFN10" ref-type="table-fn">a</xref></sup> compared with policy consistency in 2019 (<italic toggle="yes">N</italic> = 21)<sup><xref rid="TFN11" ref-type="table-fn">b</xref></sup>.</p></caption><table frame="void" rules="rows"><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"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="5" align="left" valign="middle" colspan="1">All Criteria</th><th colspan="8" align="left" valign="top" rowspan="1">Comparison of states consistent by level of care for each sample year<sup><xref rid="TFN12" ref-type="table-fn">c</xref></sup></th></tr><tr><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">2014</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">2019</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">2014</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">2019</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">2014</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">2019</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">2014</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">2019</th></tr><tr><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">Level I</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">Level I</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">Level II</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">Level II</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">Level III</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">Level III</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">Level IV</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">Level IV</th></tr><tr><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">(<italic toggle="yes">N</italic> = 19)</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">(<italic toggle="yes">N</italic> = 20)</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">(<italic toggle="yes">N</italic> = 20)</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">(<italic toggle="yes">N</italic> = 21)</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">(<italic toggle="yes">N</italic> = 21)</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">(<italic toggle="yes">N</italic> = 21)</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">(<italic toggle="yes">N</italic> = 17)</th><th align="left" valign="top" style="border-bottom-style: hidden" rowspan="1" colspan="1">(<italic toggle="yes">N</italic> = 18)</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Count(%)</th><th align="left" valign="top" rowspan="1" colspan="1">Count(%)</th><th align="left" valign="top" rowspan="1" colspan="1">Count(%)</th><th align="left" valign="top" rowspan="1" colspan="1">Count(%)</th><th align="left" valign="top" rowspan="1" colspan="1">Count (%)</th><th align="left" valign="top" rowspan="1" colspan="1">Count(%)</th><th align="left" valign="top" rowspan="1" colspan="1">Count (%)</th><th align="left" valign="top" rowspan="1" colspan="1">Count (%)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">States consistent with all criteria within each level of care</td><td align="left" valign="top" rowspan="1" colspan="1">12 (63.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">17 (85.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">10 (50.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">16 (76.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (14.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">11 (52.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (5.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">10 (55.6%)</td></tr><tr><td colspan="9" align="left" valign="top" rowspan="1">
<bold>States consistent by criteria</bold>
<sup>
<xref rid="TFN13" ref-type="table-fn">d</xref>
</sup>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth weight</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;<sup><xref rid="TFN14" ref-type="table-fn">e</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">14 (70.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">18 (85.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">9 (42.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">16 (76.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">6 (35.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">12 (66.7%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gestational age</td><td align="left" valign="top" rowspan="1" colspan="1">12 (63.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">17 (85.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">14 (70.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">18 (85.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">12 (57.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">18 (85.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">6 (35.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">13 (72.2%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Ventilation capabilities</td><td align="left" valign="top" rowspan="1" colspan="1">19 (100.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">20 (100.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">18 (90.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">19 (90.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">11 (52.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">16 (76.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">11 (64.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">14 (77.8%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Imaging capabilities</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">18 (90.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">19 (90.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">11 (52.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">18 (85.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">12 (70.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">13 (72.2%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Pediatric surgical capabilities</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">14 (66.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">18 (85.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (41.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">13 (72.2%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Pediatric surgical subspecialty capabilities</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="left" valign="top" rowspan="1" colspan="1">10 (47.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">14 (66.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">6 (35.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">13 (72.2%)</td></tr></tbody></table><table-wrap-foot><fn id="TFN10"><label>a</label><p id="P44">Overall and within-criteria consistency with 2012 AAP policy in 2014 were previously published [<xref rid="R12" ref-type="bibr">12</xref>].</p></fn><fn id="TFN11"><label>b</label><p id="P45">Four states developed new policies by 2019 and are excluded from this comparison. One state repealed the neonatal levels of care policy following review in 2014 and was removed from this comparison.</p></fn><fn id="TFN12"><label>c</label><p id="P46">Some states may only publish policies for certain levels. The &#x0201c;<italic toggle="yes">N</italic>&#x0201d; located in each column represents the number of states with a published policy specifically defining that level.</p></fn><fn id="TFN13"><label>d</label><p id="P47">To be included as consistent within a criterion, the state policy must include language on the minimum capabilities consistent with the 2012 AAP Policy.</p></fn><fn id="TFN14"><label>e</label><p id="P48">A dash, or &#x02018;&#x02013;,&#x02019; is used for levels that do not require those criteria as defined in the 2012 AAP policy.</p></fn></table-wrap-foot></table-wrap></floats-group></article>