Local health departments (LHDs) vary in their capacity to perform public health services by the size of population they serve. Little is known about the extent of emerging primary prevention activities at small LHDs. The objectives of this study were to describe various diabetes-related patient care and primary prevention services offered by small LHDs (those serving a population of less than 150,000) and explore factors associated with the diversity of these services.
During 2009 through 2010, we interviewed directors of a nationally representative sample of small LHDs by telephone to obtain information about staff structure, diabetes services, and partnerships. We obtained data for demographic characteristics and health status of the population from secondary sources. We analyzed the number of patient care services and primary prevention programs through multivariate regression analyses.
Fifty-eight small LHDs completed the survey, a response rate of 81%. Most (n = 47) had at least 1 diabetes-related patient care service; referral to diabetes specialists was the most frequently identified service (n = 44). Nearly half of small LHDs also engaged in obesity prevention for adults (n = 26) or children (n = 26), but only 7 had a diabetes prevention program. Diversity of patient care services was positively associated with the proportion of the population that was rural, time commitment of a certified diabetes educator, and total staff size. Diversity of primary prevention programs was positively associated with intensity of collaboration with the state diabetes program and total staff size and inversely associated with the proportion of racial/ethnic minorities in the jurisdiction.
Most small LHDs function as a link to local diabetes care services. Staff capacity, collaboration with the state health department, and local population factors appear to influence the diversity of diabetes-related services at small LHDs.
Diabetes is a serious chronic disease affecting nearly 24 million Americans (
Local health departments (LHDs) vary widely in their structural capacity to perform public health services. Previous studies have found that a large population size is one of the most consistent predictors of public health performance (
Little is known about the extent of diabetes-related programs at LHDs serving less populous jurisdictions (hereafter, "small LHDs"). Previous studies suggest that small LHDs still serve as traditional providers of patient care services to address secondary and tertiary prevention of diabetes, but they may not have resources to incorporate emerging primary prevention activities (
Most LHDs serve jurisdictions with a population of less than 150,000 (
We obtained a database with information on every known LHD in the United States from the RAND Corporation (
Data on jurisdictions' total population were obtained from the 2000 US Census. We defined a small LHD as one serving a population of less than 150,000. This cutoff represented the first quartile of US population served by LHDs, systematically eliminating large metropolitan LHDs (
We developed a 21-item structured telephone survey questionnaire for directors of the small LHDs. Presence or absence of specific diabetes-related services were determined with a series of dichotomous questions. From a review of literature (
We assessed information about collaboration with the state health department's DPCP and other organizational partners by dichotomous questions. If collaboration was reported, probing questions were used to collect brief descriptions of the collaboration and information on the availability of funding. We assessed staff structure by self-reported total number of staff in full-time equivalent (FTE) positions and their academic credentials. If there was a certified diabetes educator (CDE), we asked whether his or her employment status was full-time or part-time.
In April 2009, we pilot-tested the questionnaire with 5 small LHDs not selected for the sample and confirmed that the questionnaire was clear and the protocol was appropriate. A graduate student assistant was trained as a telephone interviewer. Data collection was conducted from July 2009 through June 2010. Because of the H1N1 influenza outbreak, many directors of small LHDs were unavailable for interview for several months. We placed at least 5 calls on different days of the week and different hours of the day before we categorized them as nonrespondents. Three directors of small LHDs faxed their responses. The University at Albany institutional review board approved this study.
For the small LHDs that completed the telephone survey, we collected data about population characteristics from the 2000 US Census SF-3 files. Information regarding types of jurisdiction (subcounty district, single county, or multiple counties), rural population (farm and nonfarm rural populations combined by the census designation), racial/ethnic minorities (nonwhite race or Hispanic ethnicity), and residents below the federal poverty level were obtained. The Census Bureau provided county-level prevalence estimates for residents younger than 65 years who had no health insurance coverage (
We calculated design weights to adjust for uneven sampling fractions and nonresponses across the 8 strata. The design weight equaled the ratio of the expected sample size based on the overall sampling fraction and the actual sample size in each stratum. The design weights enabled each small LHD to represent its proportion in the sampling frame. The weights ranged from 0.32 to 2.5, with a mean of 1.00. All values in this study were weighted.
We conducted descriptive analyses to depict organizational and population characteristics, availability of diabetes-related services, and current collaboration. We measured the percentage of public health departments in our sample that fell above or below the mean or median value for the United States for such characteristics as proportion of rural residents.
We defined diversity of diabetes-related services as a total number of individual services or programs offered. We coded the CDE variable as 0 for no CDE, 1 for a part-time CDE, and 2 for a full-time CDE. Similarly, collaboration with the state diabetes program and other organizations were coded as 0 for no collaboration, 1 for collaboration without funding, and 2 for collaboration with funding. To examine factors associated with diversities of patient care services and primary prevention programs, we conducted multivariate ordinary least-squares regression analyses. We used the forward stepwise deletion method to eliminate nonsignificant factors. We report the final models' standardized regression coefficients and their significance (
Of the 72 small LHDs we sampled, 58 completed the survey, a response rate of 81%. Respondents had nearly identical distributions of population-size categories and regions, and a similar distribution of jurisdiction types compared to all small LHDs in the nation after weight adjustment (data not shown).
Forty-one of the sampled small LHDs were serving a single-county jurisdiction, and 44 were serving a jurisdiction with a population less than 50,000 (
Overall, 47 small LHDs had at least 1 diabetes-related patient care service. The most frequently offered diabetes-related patient care service was referral to local diabetes care specialists (n = 44) (
Collaboration with the state health department's DPCP was reported by only 5 small LHDs, of which 4 had funding. More small LHDs (n = 22) reported collaboration with other organizations for diabetes-related projects, although only 6 had collaborations that came with funding. The most frequently reported partners were hospitals, followed by community-based organizations, local health coalitions, other small LHDs, and universities or medical schools (data not shown).
A greater number of patient care services was significantly associated with a larger proportion of rural population, greater time commitment of a CDE, and more FTEs (
We found that most small LHDs had at least 1 diabetes-related patient care service, but the proportion of those having any primary prevention program was lower. Patient referral was by far the most frequently mentioned diabetes service, illustrating that linking local residents to needed health care services is an important function of small LHDs. Diabetes care through visiting nurses and school health programs, diabetes screening, and diabetes education were also offered, but at lower frequencies.
Obesity prevention programs were offered by approximately half of small LHDs, compared with 56% of LHDs of all sizes that reported the presence of an obesity prevention program in the 2005 NACCHO national survey (
Our findings indicate that small LHDs mostly function as a link to local health care services and that they are transitioning to include obesity prevention in their inventory of services. They lag behind, however, in the more technically demanding area of surveillance and meeting the challenges of primary prevention of type 2 diabetes.
The number of patient care services was positively associated with the proportion of rural population, time-commitment of a CDE, and total FTEs. Rural residents face multiple barriers to access affordable health care; thus, small LHDs' role as providers of a range of diabetes patient care is likely greater with a higher proportion of rural residents in the jurisdiction (
The diversity of primary prevention programs was associated with increased collaboration with the state DPCP, total FTEs, and lower proportion of racial/ethnic minorities. The previous nationwide study also reported that the presence of an obesity prevention program was associated with more staff, external collaboration, and state funding (
As discussed earlier, surveillance was one of the weakest performance areas of small LHDs. Even for the small LHDs that reported having diabetes surveillance capacity, their resources and technical levels were not sufficient to produce information that could influence program decisions. This does not seem to contradict our finding that having multiple diabetes-related services were not associated with the prevalence of diagnosed diabetes or obesity.
This study has limitations. We did not collect fiscal and budgetary information from the small LHDs because we determined that this type of information was too complex and sensitive to collect through a telephone survey. We also limited the length of the questionnaire to reduce respondent burden; therefore, we did not collect some other potentially important information, such as background of the agency executive and relationship with the local board of health. The diabetes-related services we assessed were those that were most likely to be offered at small LHDs, and they did not represent the universe of potential diabetes-related services. The estimates of diagnosed diabetes and obesity we used were derived from the extrapolation of state-level health telephone survey data; thus, they have their own intrinsic limitations (
Despite these limitations, by systematically excluding high-achieving large metropolitan LHDs, this study presents a realistic picture of typical LHDs in the United States. The use of a telephone survey allowed us to collect information directly from a sample of small LDH directors. Because the sample was selected and adjusted to be nationally representative, findings from this study are generalizable to small LHDs across the United States. The supplemental data from various sources enabled us to incorporate potentially important population information such as estimates for the prevalence of diabetes, obesity, and uninsured population, in the analyses.
In summary, we found that small LHDs primarily function as providers of diabetes patient care services rather than as providers of primary prevention services. We anticipate this situation will likely continue, given the persistent and increasing difficulties of accessing health care in many rural communities. All small LHDs should be prepared to make an additional effort to incorporate primary prevention programs because the burden of diabetes and obesity is projected to increase even more (
We thank Dr David Dausey of the RAND Corporation and Dr Florence Tangka of the Centers for Disease Control and Prevention for making their data available for this study. We also thank Dr Louise-Anne McNutt of the University at Albany for her support of this study. This research received no specific grant from any funding agency in the public, commercial, or nonprofit sectors.
Content source: National Center for Chronic Disease Prevention and Health Promotion
Characteristics of Jurisdiction, Population Served, and Staff Structure of Small Local Health Departments
| No. of Local Health Departments (n = 58) | |
|---|---|
| Subcounty district | 12 |
| Single county | 41 |
| Multiple counties | 5 |
| <50,000 | 44 |
| 50,000-149,999 | 14 |
| ≤30.9 | 48 |
| >30.9 | 10 |
| ≤12.4 | 43 |
| >12.4 | 15 |
| ≤20.5 | 14 |
| >20.5 | 44 |
| ≤17.3 | 41 |
| >17.3 | 17 |
| ≤8.0 | 19 |
| >8.0 | 39 |
| ≤26.3 | 23 |
| >26.3 | 35 |
| 1-5 | 17 |
| 6-10 | 12 |
| >10 | 29 |
| 0 | 20 |
| 1-3 | 27 |
| >3 | 11 |
| 0 | 54 |
| Part-time | 3 |
| Full-time | 1 |
Abbreviations: CDE, certified diabetes educator; BMI, body mass index.
Health departments that serve <150,000 people.
Percentages are weighted.
The cutoff value represents the mean value for total US population.
The cutoff value represents the median value for all US states and territories.
Diabetes-Related Services, Programs, and Current Collaborative Partners at Small Local Health Departments
| No. of Local Health Departments (n = 58) | |
|---|---|
| Referral to local diabetes care specialists | 44 |
| Visiting nurse services for adults with diabetes | 19 |
| Diabetes screening | 15 |
| Diabetes self-management/nutrition education | 13 |
| School-based services for children with diabetes | 6 |
| Have at least 1 personal care service | 47 |
| Obesity prevention for adults | 26 |
| Obesity prevention for children and adolescents | 26 |
| Type 2 diabetes prevention | 7 |
| Have at least 1 primary prevention program | 35 |
| Have diabetes surveillance capacity | 10 |
| Any state health department DPCP | 5 |
| DPCPs with funding | 4 |
| Any other organization | 22 |
| Other organizations with funding | 6 |
Abbreviation: DPCP, diabetes prevention and control program.
Health departments that serve <150,000 people.
Percentages are weighted.
Diversity of Patient Care Services and Primary Prevention Programs Among Small Local Health Departments
| Characteristic | Diversity of Patient Care Services ( | Diversity of Primary Prevention Programs ( | ||
|---|---|---|---|---|
| Multivariate Β | Multivariate Β | |||
| Percentage of racial/ethnic minorities | NA | NA | −.258 | .01 |
| Percentage of rural residents | .365 | .002 | NA | NA |
| No. of full-time equivalent staff | .275 | .03 | .249 | .02 |
| Time-commitment of staff CDE | .282 | .02 | NA | NA |
| Collaborates with state DPCP | NA | NA | .319 | .009 |
Abbreviations: NA, not applicable; CDE, certified diabetes educator; DPCP, diabetes prevention and control program.
Health departments that serve <150,000 people.
Values are weighted.
Not applicable because this variable is not included in the model.