PURPOSE: In order for communities to make health-related, data-driven decisions concerning resource allocation, needed services, and intervention priorities, they need an accurate picture of the health status of residents. While state and national health surveillance systems exist to help local communities make data-driven health decisions, rural communities face unique challenges including: (1) limited county-level data; (2) underrepresented segments of the population; and (3) a lack of survey items to address local health concerns. The purpose of this study was to take a community-engaged approach to collecting population-based health status data in a rural area in an effort to address some of these unique challenges. METHODS: Using a community-based participatory research (CBPR) approach, over 1,500 residents from 6 rural and frontier counties were randomly selected with a stratified, multistage cluster study design. Surveys were primarily completed over the phone. FINDINGS: Response rates by county ranged from 59% to 80% (overall = 66%). Males and younger adults (18-24 year olds) were underrepresented in the sample, but Hispanics, low-income residents, and cell phone-only users were adequately represented. Prevalence rates for chronic disease and health behavior varied by county. CONCLUSIONS: The implications of this project are that engaging stakeholders in community surveillance efforts increases the quality, relevance and utility of the information collected and can help reach otherwise difficult-to-reach populations. This can result in a more accurate picture of the health status of residents, which can lead to making health-related, data-driven decisions concerning resource allocation, needed services, and intervention priorities.
PURPOSE: In order for communities to make health-related, data-driven decisions concerning resource allocation, needed services, and intervention priorities, they need an accurate picture of the health status of residents. While state and national health surveillance systems exist to help local communities make data-driven health decisions, rural communities face unique challenges including: (1) limited county-level data; (2) underrepresented segments of the population; and (3) a lack of survey items to address local health concerns. The purpose of this study was to take a community-engaged approach to collecting population-based health status data in a rural area in an effort to address some of these unique challenges. METHODS: Using a community-based participatory research (CBPR) approach, over 1,500 residents from 6 rural and frontier counties were randomly selected with a stratified, multistage cluster study design. Surveys were primarily completed over the phone. FINDINGS: Response rates by county ranged from 59% to 80% (overall = 66%). Males and younger adults (18-24 year olds) were underrepresented in the sample, but Hispanics, low-income residents, and cell phone-only users were adequately represented. Prevalence rates for chronic disease and health behavior varied by county. CONCLUSIONS: The implications of this project are that engaging stakeholders in community surveillance efforts increases the quality, relevance and utility of the information collected and can help reach otherwise difficult-to-reach populations. This can result in a more accurate picture of the health status of residents, which can lead to making health-related, data-driven decisions concerning resource allocation, needed services, and intervention priorities.
Authors: Betty Bekemeier; Seungeun Park; Uba Backonja; India Ornelas; Anne M Turner Journal: J Am Med Inform Assoc Date: 2019-08-01 Impact factor: 4.497
Authors: J Tom Mueller; Kathryn McConnell; Paul Berne Burow; Katie Pofahl; Alexis A Merdjanoff; Justin Farrell Journal: Proc Natl Acad Sci U S A Date: 2021-01-05 Impact factor: 11.205
Authors: David C Lee; Justin M Feldman; Marcela Osorio; Christian A Koziatek; Michael V Nguyen; Ashwini Nagappan; Christopher J Shim; Andrew J Vinson; Lorna E Thorpe; Nancy A McGraw Journal: BMJ Open Date: 2019-11-18 Impact factor: 2.692
Authors: David C Lee; Nancy A McGraw; Kelly M Doran; Amanda K Mengotto; Sara L Wiener; Andrew J Vinson; Lorna E Thorpe Journal: Emerg Themes Epidemiol Date: 2020-11-23
Authors: Sheridan Miyamoto; Elizabeth Thiede; Lorah Dorn; Daniel F Perkins; Cynthia Bittner; Dennis Scanlon Journal: J Rural Health Date: 2020-06-08 Impact factor: 4.333