The Importance of Partnerships in Local Health Department Practice Among Communities With Exceptional Maternal and Child Health Outcomes

The use of positive deviance approach to improve health service delivery and quality of care: a scoping review

BACKGROUND

Quality has been a persistent challenge in the healthcare system, particularly in resource-limited settings. As a result, the utilization of innovative approaches is required to help countries in their efforts to enhance the quality of healthcare. The positive deviance (PD) approach is an innovative approach that can be utilized to improve healthcare quality. The approach assumes that solutions to problems are already available within the community and identifying and sharing those solutions can help others to resolve existing issues. Therefore, this scoping review aimed to synthesize the evidence regarding the use of the PD approach in healthcare system service delivery and quality improvement programs.

METHODS

Articles were retrieved from six international databases. The last date for article search was June 02, 2023, and no date restriction was applied. All articles were assessed for inclusion through a title and/or abstract read. Then, articles that passed the title and abstract review were screened by reading their full texts. In case of duplication, only the full-text published articles were retained. A descriptive mapping and evidence synthesis was done to present data with the guide of the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews checklist and the results are presented in text, table, and figure formats.

RESULTS

A total of 125 articles were included in this scoping review. More than half, 66 (52.8%), of the articles were from the United States, 11(8.8%) from multinational studies, 10 (8%) from Canada, 8 (6.4%) from the United Kingdom and the remaining, 30 (24%) are from other nations around the world. The scoping review indicates that several types of study designs can be applied in utilizing the PD approach for healthcare service and quality improvement programs. However, although validated performance measures are utilized to identify positive deviants (PDs) in many of the articles, some of the selection criteria utilized by authors lack clarity and are subject to potential bias. In addition, several limitations have been mentioned in the articles including issues in operationalizing PD, focus on leaders and senior managers and limited staff involvement, bias, lack of comparison, limited setting, and issues in generalizability/transferability of results from prospects perspective. Nevertheless, the limitations identified are potentially manageable and can be contextually resolved depending on the nature of the study. Furthermore, PD has been successfully employed in healthcare service and quality improvement programs including in increasing surgical care quality, hand hygiene practice, and reducing healthcare-associated infections.

CONCLUSION

The scoping review findings have indicated that healthcare systems have been able to enhance quality, reduce errors, and improve patient outcomes by identifying lessons from those who exhibit exceptional practices and implementing successful strategies in their practice. All the outcomes of PD-based research, however, are dependent on the first step of identifying true PDs. Hence, it is critical that PDs are identified using objective and validated measures of performance as failure to identify true PDs can subsequently lead to failure in identifying best practices for learning and dissemination to other contextually similar settings.

Examining Characteristics of Local Public Health Systems With Exceptional Tribal Organization Participation

OBJECTIVE

To learn feasible ways to increase multisector community partnership with tribal organizations, meaning tribal health authorities or American Indian and Alaska Native (AI/AN)-serving organizations, by examining characteristics of local public health systems with exceptional tribal organization participation.

DESIGN, SETTING, AND PARTICIPANTS

In total, 728 local public health departments were surveyed in 2018 to generate a nationally representative sample of local public health systems in the United States. A positive deviance approach using logistic regression helped identify local public health systems that had tribal organization participation despite characteristics that make such participation statistically unlikely. Local public health systems with exceptional tribal organization participation were compared with systems with conventional participation, examining measures known to impact the formation of public health partnerships.

MAIN OUTCOME MEASURE

This study used an exploratory logistic regression approach to identify unique characteristics of local public health systems with exceptional tribal organization participation.

RESULTS

Of 728 health systems surveyed, 21 were identified as having exceptional tribal organization participation. Across varying thresholds to identify exceptional participation, having a higher network density and prioritizing equity in public health activities were found to consistently distinguish exceptional tribal organization participation in both nonrural and rural areas.

CONCLUSIONS

Public health partnerships with tribal organizations are possible even in circumstances that make them unlikely. Efforts to build denser networks of collaborating organizations and prioritize equity may help public health systems achieve success with tribal organization partnerships.

Grouping Public Health Skills to Facilitate Workforce Development: A Factor Analysis of PH WINS

OBJECTIVES

This study examined whether distinct factors exist among public health skills, measured through the Public Health Workforce Interests and Needs Survey (PH WINS). Understanding how workforce training needs group is important for developing targeted and appropriate public health workforce training sessions.

DESIGN

Exploratory factor analysis was used to examine public health skills among tier 1 staff (nonmanagers) and a combined group of tier 2 and 3 staff (managers and executives).

SETTING

Data for this study come from the 2017 PH WINS, which assessed public health workforce perceptions of training needs, workplace environment, job satisfaction, perceptions about national trends, and demographics. The analysis included 22 items.

PARTICIPANTS

All public health staff in participating agencies were eligible to complete the survey. The national data set included participants from 47 state health agencies, 26 large local health departments (LHDs), and 71 mid-sized LHDs across all 10 Health and Human Services regions in the United States (including LHDs from all states). The analytic sample was n = 9630 in tier 1, n = 4829 in tier 2, and n = 714 in tier 3 staff.

MAIN OUTCOME MEASURE

Three factors were identified within the skills portion of PH WINS, using exploratory factor analysis. To interpret retained factors, the following parameters were used: factor loadings greater than 0.4, factor cross-loadings less than 0.4 or higher than loadings on other factors, and communalities greater than 0.5.

RESULTS

Factors included (1) data and systems thinking, (2) planning and management, and (3) community collaboration, with slight variation in item loadings between tier 1 and tier 2 and 3 staff analyses.

CONCLUSION

This study was the first known factor analysis of the training needs and workforce skills portion of PH WINS in the published literature. This study advances our conceptualization of public health workforce skills and has the potential to shape future critical workforce training development.

Who Delivers Maternal and Child Health Services? The Contributions of Public Health and Other Community Partners

Policy Points Local health departments with direct maternal and child health service provisions exhibit greater social service collaboration, thereby enhancing community capacity to improve health care access and social determinant support. These findings may prioritize collaboration as a community-based effort to reduce disparities in maternal and child health and chronic disease.

CONTEXT

Improving maternal and child health (MCH) care in the United States requires solutions to address care access and the social determinants that contribute to health disparities. Direct service provision of MCH services by local health departments (LHDs) may substitute or complement public health services provided by other community organizations, impacting local service delivery capacity. We measured MCH service provision among LHDs and examined its association with patterns of social service collaboration among community partners.

METHODS

We analyzed the 2018 National Longitudinal Survey of Public Health Systems and 2016 National Association of County and City Health Officials Profile data to measure the LHD provision of MCH services and the types of social services involved in the implementation of essential public health activities. We compared the extensive and intensive margins of social service collaboration among LHDs with any versus no MCH service provision. We then used latent class analysis (LCA) to classify collaboration and logistic regression to estimate community correlates of collaboration.

FINDINGS

Of 620 LHDs, 527 (85%) provided at least one of seven observed MCH services. The most common service was Special Supplemental Nutrition Program for Women, Infants, and Children (71%), and the least common was obstetric care (15%). LHDs with MCH service provision were significantly more likely to collaborate with all types of social service organizations. LCA identified two classes of LHDs: high (n = 257; 49%) and low (n = 270; 51%) collaborators. Between 74% and 96% of high collaborators were engaged with social service organizations that provided basic needs services, compared with 31%-60% of low collaborators. Rurality and very high maternal vulnerability were significantly correlated with low collaboration among MCH service-providing LHDs.

CONCLUSIONS

LHDs with direct MCH service provision exhibited greater social service collaboration. Collaboration was lowest in rural communities and communities with very high maternal vulnerability. Over half of MCH service-providing LHDs were classified as low collaborators, suggesting unrealized opportunities for social service engagement in these communities.

The DASH model: Data for addressing social determinants of health in local health departments

Recent frameworks, models, and reports highlight the critical need to address social determinants of health for achieving health equity in the United States and around the globe. In the United States, data play an important role in better understanding community-level and population-level disparities particularly for local health departments. However, data-driven decision-making-the use of data for public health activities such as program implementation, policy development, and resource allocation-is often presented theoretically or through case studies in the literature. We sought to develop a preliminary model that identifies the factors that contribute to data-driven decision-making in US local health departments and describe relationships between them. Guided by implementation science literature, we examined organizational-level capacity and individual-level factors contributing to using data for decision-making related to social determinants of health and the reduction of county-level disparities. This model has the potential to improve implementation of public health interventions and programs aimed at upstream structural factors, by elucidating the factors critical to incorporating data in decision-making.

Addressing Health Disparities: The Health Department Nurse Lead Executive's Relationship to Improved Community Health

CONTEXT

The nurse-trained local health department (LHD) lead executive has been shown to be positively associated with LHD performance; however, no other research has explored whether this association translates to improved community health.

OBJECTIVE

To investigate the relationship between the type of LHD leadership-whether or not the lead executive is a nurse-and changes in health outcomes.

DESIGN

This study used a multivariate panel time series design. Each model was estimated as a pooled time series and using time and unit fixed effects, with a 1-year lag used for all covariates and the main predictor.

SETTING

A national, county-level data set was compiled containing variables pertaining to the LHD, community demographics, and health outcomes for the years 2010-2018.

PARTICIPANTS

The unit of analysis was the LHD. The data set was restricted to those counties with measurable mortality rates during at least 8 of the 9 time periods of the study, resulting in a total of 626 LHDs.

MAIN OUTCOME MEASURES

The outcomes of interest were changes in 15- to 44-year-old all-cause mortality, infant mortality, and entry into prenatal care.

RESULTS

In models with combined time and unit fixed effects, a significant relationship exists between a nurse-led LHD and reduced mortality in the 15- to 44-year-old Black population (-5.2%, P < .05) and a reduction in the Black-White mortality ratio (-6%, P < .05). In addition, there is a relationship between the nurse-led LHD and a reduction in the percentage of the population with late or no entry to prenatal care.

CONCLUSIONS

The evidence presented here helps connect the known positive association between nurse lead executives and LHD performance to improvements in community health. It suggests that nurse leaders are associated with health improvements in line with addressing health inequities.

Aligning healthcare, public health and social services: A scoping review of the role of purpose, governance, finance and data

Organisations spanning social services, public health and healthcare have increasingly experimented with collaboration as a tool for improving population health and reducing health disparities. While there has been progress, the results have fallen short of expectations. Reflecting on these shortcomings, the Robert Wood Johnson Foundation (RWJF) recently proposed a new framework for cross-sector alignment intended to move the field towards improved outcomes. A central idea in this framework is that collaboratives will be more effective and sustainable if they develop collaborative systems in four core areas: shared purpose, governance, finance and shared data. The goal of this paper is to provide a foundation for research on the four core areas of the cross-sector alignment framework. Accordingly, this study is based on two guiding questions: (1) how are collaboratives currently implementing systems in the four core areas identified in the framework, and (2) what strategies does the literature offer for creating sustainable systems in these four areas? Given the emergent nature of research on health-oriented cross-sector collaboration and the broad research questions, we conducted a systematic scoping review including 179 relevant research papers and reports published internationally from the years 2010-2020. We identified the main contributions and coded each based on its relevance to the cross-sector alignment framework. We found that most papers focused on programme evaluations rather than theory testing, and while many strategies were offered, they tended to reflect a focus on short-term collaboration. The results also demonstrate that starting points and resource levels vary widely across individuals and organisations involved in collaborations. Accordingly, identifying and comparing distinct pathways by which different parties might pursue cross-sector alignment is an imperative for future work. More broadly, the literature is ripe with observations that could be assessed systematically to produce a firm foundation for research and practice.

Use of population health data and qualitative analysis to guide local planning and implementation of Supplemental Nutrition Assistance Program Education

PURPOSE

To describe how local quantitative and qualitative data were used to assess the progress of the Supplemental Nutrition Assistance Program Education (SNAP-Ed) interventions in Los Angeles County, California.

APPROACH

Data from the California Health Interview Survey informed the geographical concentration of program resources during the planning phase. At the end of the program, semi-structured interviews with stakeholders were conducted to assess factors that facilitated SNAP-Ed implementation.

SETTING

Los Angeles County, California.

PARTICIPANTS

Twenty-four project coordinators were interviewed.

INTERVENTION

From 2016-2020, 24 organizations across Los Angeles County delivered nutrition education, reaching an estimated 2 million people. Two-hundred policy, systems, and environmental change interventions reached an estimated 1.2 million people.

METHOD

Semi-structured interview data were analyzed using a form of both inductive and deductive content analysis. A codebook was developed based on themes identified in these interviews. Each interview was coded by two team members; discrepancies (if they arose) were resolved by a 5-member group.

RESULTS

Two facilitators - support for capacity building from a local health department and presence of community partnerships - were identified as critical factors that contributed to the success of SNAP-Ed implementation.

CONCLUSIONS

A local health department can increase SNAP-Ed intervention reach and uptake by assisting funded partners with further capacity building, helping them to develop feasible work plans, foster evaluation skills, and engage in sustainability planning.

Local Health Department and Hospital Collaboration Around Community Health Needs Assessment to Improve Health Outcomes

The objectives of this study were to examine the relationships between local health department (LHD) and nonprofit hospital collaboration around community health needs assessment (CHNA), levels of collaboration, and selected community health outcomes. Data were obtained from multiple sources including the National Profile of Local Health Departments. Results showed that high levels of LHD-hospital collaboration around CHNA were associated with lower self-reported poor or fair health, lower years of potential life lost per 100 000 population, and lower premature age-adjusted mortality per 100 000 population. More research is needed to examine the influence of collaboration around CHNA on community health.

Strengthening the maternal and child health system in remote and low-income areas through multilevel governmental collaboration: a case study from Nujiang Prefecture in China

OBJECTIVE

The aim of the study was to assess the effects of the maternal and child health (MCH) system strengthening through multilevel governmental collaboration in Nujiang Prefecture, China.

STUDY DESIGN

A case study design was applied.

METHODS

Guided by the logical framework of the Nujiang MCH Comprehensive Intervention Project, national, provincial, and prefecture government sectors jointly implemented comprehensive health system strengthening (HSS) interventions in Nujiang Prefecture. In this case study, we conducted the end point surveys (November 2015 and January 2016) with 33 local MCH facilities. We also interviewed 35 MCH providers, government officials, leaders of MCH facilities, and project specialists. The thematic framework method was used to analyze the interview data, and descriptive analysis was performed to analyze the survey data.

RESULTS

The three levels of governmental collaboration contributed to increased government investment in the local MCH system and ensured the successful implementation of the project. Participatory training methods and appropriate HSS interventions tailored to the local context were crucial to improve MCH providers' knowledge and skills, with the proportion of qualified MCH providers increasing from 70% in 2011 to 96% in 2015. Owing to this increase in knowledge and the increase in needed equipment, more MCH hospitals could provide inpatient obstetric services, and more town health clinics were capable of providing basic MCH services. The development of a reimbursement policy tailored to the local context promoted in-hospital delivery. At the conclusion of the project, percentages of antenatal care, in-hospital delivery, and newborn screening increased by 20.71%, 18.12%, and 278.62%, respectively. Growth monitoring coverage for children younger than three years remained stable at around 90%. However, the MCH system was negatively impacted by the workforce shortage. Those shortages were caused by a lack of positive recruitment and retention and incentive policies.

CONCLUSIONS

Implementation of comprehensive HSS interventions through multilevel governmental collaboration improves the MCH system in remote and low-income areas.

Joint Community Health Needs Assessments as a Path for Coordinating Community-Wide Health Improvement Efforts Between Hospitals and Local Health Departments

OBJECTIVES

To examine the association between hospital-local health department (LHD) collaboration around community health needs assessments (CHNAs) and hospital investment in community health.

METHODS

We combined 2015 National Association of County and City Health Officials (NACCHO) Forces of Change, 2013 NACCHO Profile, and 2014-2015 Area Health Resource File data to identify a sample of LHDs (n = 439) across the United States. We included data on hospitals' community benefit from their 2014 tax filings (Internal Revenue Service Form 990, Schedule H). We used bivariate and multivariate regression analyses to examine LHDs' involvement in hospitals' CHNAs and implementation strategies and the relationship with hospital investment in community health.

RESULTS

The LHDs that collaborated with hospitals around CHNAs were significantly more likely to be involved in joint implementation planning activities than were those that did not. Importantly, LHD involvement in hospitals' implementation strategies was associated with greater hospital investment in community health improvement initiatives.

CONCLUSIONS

Joint CHNAs may improve coordination of community-wide health improvement efforts between hospitals and LHDs and encourage hospital investment in community health improvement activities. Public Health Implications. Policies that strengthen LHD-hospital collaboration around the CHNA may enhance hospital investments in community health.

State-Level Progress in Reducing the Black-White Infant Mortality Gap, United States, 1999-2013

OBJECTIVES

To assess state-level progress on eliminating racial disparities in infant mortality.

METHODS

Using linked infant birth-death files from 1999 to 2013, we calculated state-level 3-year rolling average infant mortality rates (IMRs) and Black-White IMR ratios. We also calculated percentage improvement and a projected year for achieving equality if current trend lines are sustained.

RESULTS

We found substantial state-level variation in Black IMRs (range = 6.6-13.8) and Black-White rate ratios (1.5-2.7), and also in percentage relative improvement in IMR (range = 2.7% to 36.5% improvement) and in Black-White rate ratios (from 11.7% relative worsening to 24.0% improvement). Thirteen states achieved statistically significant reductions in Black-White IMR disparities. Eliminating the Black-White IMR gap would have saved 64 876 babies during these 15 years. Eighteen states would achieve IMR racial equality by the year 2050 if current trends are sustained.

CONCLUSIONS

States are achieving varying levels of progress in reducing Black infant mortality and Black-White IMR disparities. Public Health Implications. Racial equality in infant survival is achievable, but will require shifting our focus to determinants of progress and strategies for success.

Applying Community-Based Participatory Research Partnership Principles to Public Health Practice-Based Research Networks

With real-world relevance and translatability as important goals, applied methodological approaches have arisen along the participatory continuum that value context and empower stakeholders to partner actively with academics throughout the research process. Community-based participatory research (CBPR) provides the gold standard for equitable, partnered research in traditional communities. Practice-based research networks (PBRNs) also have developed, coalescing communities of practice and of academics to identify, study, and answer practice-relevant questions. To optimize PBRN potential for expanding scientific knowledge, while bridging divides across knowledge production, dissemination, and implementation, we elucidate how PBRN partnerships can be strengthened by applying CBPR principles to build and maintain research collaboratives that empower practice partners. Examining the applicability of CBPR partnership principles to public health (PH) PBRNs, we conclude that PH-PBRNs can serve as authentic, sustainable CBPR partnerships, ensuring the co-production of new knowledge, while also improving and expanding the implementation and impact of research findings in real-world settings.

Using a positive deviance framework to identify Local Health Departments in Communities with exceptional maternal and child health outcomes: a cross sectional study

BACKGROUND

The United States spends more than most other countries per capita on maternal and child health (MCH), and yet lags behind other countries in MCH outcomes. Local health departments (LHDs) are responsible for administering various maternal and child health programs and interventions, especially to vulnerable populations. The goal of this study was to identify local health department jurisdictions (LHDs) that had exceptional maternal and child health outcomes compared to their in-state peers - positive deviants (PDs) - in Washington, Florida and New York in order to support the identification of strategies that can improve community health outcomes.

METHODS

We used MCH expenditure data for all LHDs in FL (n = 67), and WA (n = 35), and most LHDs in NY (n = 48) for 2009-2010 from the Public Health Activities and Services Tracking (PHAST) database. We conducted our analysis in 2014-2015. Data were linked with variables depicting local context and LHD structure. We used a cross-sectional study design to identify communities with better than expected MCH outcomes and multiple regression analysis to control for factors outside of and within LHD control.

RESULTS

We identified 50 positive deviant LHD jurisdictions across 3 states: WA = 10 (29 %); FL = 24 (36 %); NY = 16 (33 %). Overall, internal factor variables improved model fit for identifying PD LHD jurisdictions, but individual variables were not significant.

CONCLUSIONS

We empirically identified LHD jurisdictions with better MCH outcomes compared to their peers. Research is needed to assess what factors contributed to these exceptional MCH outcomes and over which LHDs have control. The positive deviance method we used to identify high performing local health jurisdictions in the area of maternal and child health outcomes can assist in better understanding what practices work to improve health outcomes. We found that funding may not be the only predictor of exceptional outcomes, but rather, there may be activities that positive deviant LHDs are conducting that lead to improved outcomes, even during difficult financial circumstances. This method can be applied to other outcomes, communities, and/or services.