Towards a unified taxonomy of health indicators: academic health centers and communities working together to improve population health.

The Clinical and Translational Science Awards (CTSA) program represents a significant public investment. To realize its major goal of improving the public's health and reducing health disparities, the CTSA Consortium's Community Engagement Key Function Committee has undertaken the challenge of developing a taxonomy of community health indicators. The objective is to initiate a unified approach for monitoring progress in improving population health outcomes. Such outcomes include, importantly, the interests and priorities of community stakeholders, plus the multiple, overlapping interests of universities and of the public health and health care professions involved in the development and use of local health care indicators.The emerging taxonomy of community health indicators that the authors propose supports alignment of CTSA activities and facilitates comparative effectiveness research across CTSAs, thereby improving the health of communities and reducing health disparities. The proposed taxonomy starts at the broadest level, determinants of health; subsequently moves to more finite categories of community health indicators; and, finally, addresses specific quantifiable measures. To illustrate the taxonomy's application, the authors have synthesized 21 health indicator projects from the literature and categorized them into international, national, or local/special jurisdictions. They furthered categorized the projects within the taxonomy by ranking indicators with the greatest representation among projects and by ranking the frequency of specific measures. They intend for the taxonomy to provide common metrics for measuring changes to population health and, thus, extend the utility of the CTSA Community Engagement Logic Model. The input of community partners will ultimately improve population health.

Health information technology capacity at federally qualified health centers: a mechanism for improving quality of care.

BACKGROUND: The adoption of health information technology has been recommended as a viable mechanism for improving quality of care and patient health outcomes. However, the capacity of health information technology (i.e., availability and use of multiple and advanced functionalities), particularly in federally qualified health centers (FQHCs) on improving quality of care is not well understood. We examined associations between health information technology (HIT) capacity at FQHCs and quality of care, measured by the receipt of discharge summary, frequency of patients receiving reminders/notifications for preventive care/follow-up care, and timely appointment for specialty care. METHODS: The analyses used 2009 data from the National Survey of Federally Qualified Health Centers. The study included 776 of the FQHCs that participated in the survey. We examined the extent of HIT use and tested the hypothesis that level of HIT capacity is associated with quality of care. Multivariable logistic regressions, reporting unadjusted and adjusted odds ratios, were used to examine whether 'FQHCs' HIT capacity' is associated with the outcome measures. RESULTS: The results showed a positive association between health information technology capacity and quality of care. FQHCs with higher HIT capacity were significantly more likely to have improved quality of care, measured by the receipt of discharge summaries (OR=1.43; CI=1.01, 2.40), the use of a patient notification system for preventive and follow-up care (OR=1.74; CI=1.23, 2.45), and timely appointment for specialty care (OR=1.77; CI=1.24, 2.53). CONCLUSIONS: Our findings highlight the promise of HIT in improving quality of care, particularly for vulnerable populations who seek care at FQHCs. The results also show that FQHCs may not be maximizing the benefits of HIT. Efforts to implement HIT must include strategies that facilitate the implementation of comprehensive and advanced functionalities, as well as promote meaningful use of these systems. Further examination of the role of health information systems in clinical decision-making and improvements in patient outcomes are needed to better understand the benefits of HIT in improving overall quality of care.

Quality improvement in community health centres: the role of microsystem characteristics in the implementation of a diabetes prevention initiative.

OBJECTIVES: To examine the role of microsystem characteristics in the translation of an evidence-based intervention (the Diabetes Prevention Initiative (DPI)) into practice in a community-health centre (CHC). DESIGN: Case study. ANALYSIS: Constant comparative method of qualitative analysis. SETTING: Community-health centre in a mid-sized city in the USA. PARTICIPANTS: 27 administrators, clinicians and staff of a community-health centre implementing a DPI. MAIN OUTCOME MEASURES: Perceptions of microsystem characteristics that influence the implementation of this initiative. RESULTS: Five characteristics of high-performing microsystems were reflected, but not maximised, in the implementation of the DPI. First, there was no universally shared definition of the desired purpose of the DPI. Second, investment in quality improvement (QI) was strong, yet sustainability remained a concern, since efforts were dependent upon external grant support. Third, lack of cohesiveness between the initiative planning team and the rest of the organisation served to both facilitate and constrain implementation. Fourth, administrators showed both support for new initiatives and a lack of strategic vision for QI. Fifth, this initiative substantially strained already-stretched role definitions. CONCLUSIONS: Translation of the DPI in this CHC was constrained by the lack of a cohesive QI infrastructure and incomplete alignment with characteristics of high-performing microsystems. The findings suggest an important role for microsystem characteristics in the process of implementing evidence-based interventions. Enhancing the level of microsystem performance of CHCs is essential to informing efforts to improve quality of care in this critical safety-net system.

Modelling the impact and cost-effectiveness of the HIV intervention programme amongst commercial sex workers in Ahmedabad, Gujarat, India.

BACKGROUND: Ahmedabad is an industrial city in Gujarat, India. In 2003, the HIV prevalence among commercial sex workers (CSWs) in Ahmedabad reached 13.0%. In response, the Jyoti Sangh HIV prevention programme for CSWs was initiated, which involves outreach, peer education, condom distribution, and free STD clinics. Two surveys were performed among CSWs in 1999 and 2003. This study estimates the cost-effectiveness of the Jyoti Sangh HIV prevention programme. METHODS: A dynamic mathematical model was used with survey and intervention-specific data from Ahmedabad to estimate the HIV impact of the Jyoti Sangh project for the 51 months between the two CSW surveys. Uncertainty analysis was used to obtain different model fits to the HIV/STI epidemiological data, producing a range for the HIV impact of the project. Financial and economic costs of the intervention were estimated from the provider's perspective for the same time period. The cost per HIV-infection averted was estimated. RESULTS: Over 51 months, projections suggest that the intervention averted 624 and 5,131 HIV cases among the CSWs and their clients, respectively. This equates to a 54% and 51% decrease in the HIV infections that would have occurred among the CSWs and clients without the intervention. In the absence of intervention, the model predicts that the HIV prevalence amongst the CSWs in 2003 would have been 26%, almost twice that with the intervention. Cost per HIV infection averted, excluding and including peer educator economic costs, was USD 59 and USD 98 respectively. CONCLUSION: This study demonstrated that targeted CSW interventions in India can be cost-effective, and highlights the importance of replicating this effort in other similar settings.