Browsing by Subject "Population Health"
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Item Open Access Addressing Hypertension Outcomes Using Telehealth and Population Health Managers: Adaptations and Implementation Considerations.(Current hypertension reports, 2022-08) Drake, Connor; Lewinski, Allison A; Rader, Abigail; Schexnayder, Julie; Bosworth, Hayden B; Goldstein, Karen M; Gierisch, Jennifer; White-Clark, Courtney; McCant, Felicia; Zullig, Leah LPurpose of review
There is a growing evidence base describing population health approaches to improve blood pressure control. We reviewed emerging trends in hypertension population health management and present implementation considerations from an intervention called Team-supported, Electronic health record-leveraged, Active Management (TEAM). By doing so, we highlight the role of population health managers, practitioners who use population level data and to proactively engage at-risk patients, in improving blood pressure control.Recent findings
Within a population health paradigm, we discuss telehealth-delivered approaches to equitably improve hypertension care delivery. Additionally, we explore implementation considerations and complementary features of team-based, telehealth-delivered, population health management. By leveraging the unique role and expertise of a population health manager as core member of team-based telehealth, health systems can implement a cost-effective and scalable intervention that addresses multi-level barriers to hypertension care delivery. We describe the literature of telehealth-based population health management for patients with hypertension. Using the TEAM intervention as a case study, we then present implementation considerations and intervention adaptations to integrate a population health manager within the health care team and effectively manage hypertension for a defined patient population. We emphasize practical considerations to inform implementation, scaling, and sustainability. We highlight future research directions to advance the field and support translational efforts in diverse clinical and community contexts.Item Open Access Population segmentation based on healthcare needs: a systematic review.(Systematic reviews, 2019-08-13) Chong, Jia Loon; Lim, Ka Keat; Matchar, David BruceBackground
Healthcare needs-based population segmentation is a promising approach for enabling the development and evaluation of integrated healthcare service models that meet healthcare needs. However, healthcare policymakers interested in understanding adult population healthcare needs may not be aware of suitable population segmentation tools available for use in the literature and barring better-known alternatives, may reinvent the wheel by creating and validating their own tools rather than adapting available tools in the literature. Therefore, we undertook a systematic review to identify all available tools which operationalize healthcare need-based population segmentation, to help inform policymakers developing population-level health service programmes.Methods
Using search terms reflecting concepts of population, healthcare need and segmentation, we systematically reviewed and included articles containing healthcare need-based adult population segmentation tools in PubMed, CINAHL and Web of Science databases. We included tools comprising mutually exclusive segments with prognostic value for clinically relevant outcomes. An updated secondary search on the PubMed database was also conducted as the last search was conducted 2 years ago. All identified tools were characterized in terms of segment formulation, segmentation base, whether they received peer-reviewed validation, requirement for comprehensive electronic medical records, proprietary status and number of segments.Results
A total of 16 unique tools were identified from systematically reviewing 9970 articles. Peer-reviewed validation studies were found for 9 of these tools.Discussion and conclusions
The underlying segmentation basis of most identified tools was found to be conceptually comparable to each other which suggests a broad recognition of archetypical patient overall healthcare need profiles. While many tools operate based on administrative record data, it is noted that healthcare systems without comprehensive electronic medical records would benefit from tools which segment populations through primary data collection. Future work could therefore include development and validation of such primary data collection-based tools. While this study is limited by exclusion of non-English literature, the identified and characterized tools will nonetheless facilitate efforts by policymakers to improve patient-centred care through development and evaluation of services tailored for specific populations segmented by these tools.Item Open Access Regional differences in the impact of diabetes on population health in the USA.(Journal of epidemiology and community health, 2021-01) Zang, Emma; Lynch, Scott M; West, JessicaBackground
To evaluate regional disparities in the influence of diabetes on population health, we examine life expectancies at age 50 between population with diabetes and healthy population and life quality among the population with diabetes among native-born Americans by birth region and current residence.Methods
Using data on a cohort of 17 686 native-born individuals from the Health and Retirement Survey (1998-2014), we applied a Bayesian multistate life table method to estimate life expectancies at age 50 between population with diabetes and healthy population by each birth/current region combination. We further estimate the proportion of life remaining without either chronic conditions or disabilities as a quality of life measure and the probabilities that one region is worse than the other in terms of different health outcomes.Results
At age 50, persons with diabetes (PWD) were expected to live on average 5.8-10.8 years less than their healthy equivalents across regions. Diabetes had the greatest influence on life expectancy (LE) for older adults who lived in the South at the time of interviews. PWD born in the South were more likely to have developed chronic conditions or disabilities and spent greater proportions of life with these two issues compared to other regions.Conclusion
Diabetes is a significant threat to LE and healthy LE in the USA, particularly for people born or living in the South.Item Open Access Trust in Community-Engaged Research Partnerships: A Methodological Overview of Designing a Multisite Clinical and Translational Science Awards (CTSA) Initiative.(Evaluation & the health professions, 2020-09) Kim, Mimi M; Cheney, Ann; Black, Anita; Thorpe, Roland J; Cene, Crystal Wiley; Dave, Guarav J; Schaal, Jennifer; Vassar, Stefanie; Ruktanonchai, Corrine; Frerichs, Leah; Young, Tiffany; Jones, Jennifer; Burke, Jessica; Varma, Deepthi; Striley, Catherine; Cottler, Linda; Brown, Arleen; Sullivan, Greer; Corbie-Smith, GiselleCommunity-engaged research (CEnR) builds on the strengths of the Clinical and Translational Science Awards (CTSA) framework to address health in underserved and minority communities. There is a paucity of studies that identify the process from which trust develops in CEnR partnerships. This study responds to the need for empirical investigation of building and maintaining trust from a multistakeholder perspective. We conducted a multi-institutional pilot study using concept mapping with to better understand how trust, a critical outcome of CEnR partnerships, can act as "social capital." Concept mapping was used to collect data from the three stakeholder groups: community, health-care, and academic research partners across three CTSAs. Concept mapping is a mixed-methods approach that allows participants to brainstorm and identify factors that contribute to a concept and describe ways in which those factors relate to each other. This study offers important insights on developing an initial set of trust measures that can be used across CTSAs to understand differences and similarities in conceptualization of trust among key stakeholder groups, track changes in public trust in research, identify both positive and negative aspects of trust, identify characteristics that maintain trust, and inform the direction for future research.