A Community-Driven Probability Survey of Disadvantaged Populations in Chicago
Sinai Community Health Survey 2.0
Bibliographic Data
| ID | 12808948 |
|---|---|
| Authors | Jana L Hirschtick (0000-0001-6532-1372, corresponding author), Michelle M Hughes (0000-0002-4436-2236), Isabel Farrar, Melissa Gutierrez-Kapheim (0000-0002-7652-6960), Linda Owens, Timothy P Johnson (0000-0001-9745-9683), Maureen R Benjamins (0000-0002-5478-1039) |
| Year | 2020 |
| Volume | 14 |
| Issue | 3 |
| Pages | 347-357 |
| Publication date | 2020-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Progress in community health partnerships (JOURNAL) |
| Journal identifiers | ISSN: 1557-055X • E-ISSN: 1557-0541 |
| Publisher | Project MUSE (PUBLISHER • US) |
| DOI | 10.1353/cpr.2020.0040 |
| PMID | 33416610 |
| OpenAlex | W3083767137 |
| Language | EN |
| Citations received | 1 |
Hyper-local data are especially critical for diverse and segregated cities such as Chicago. Lessons learned can be applied to future community surveys done by hospital systems, health departments, and community advocates to maximize the usefulness of findings
American Community Survey · Community health · Data collection · Disadvantaged · Environmental health · General partnership · Geography · Political science · Population · Proxy (statistics · Public health · Sociology · Survey data collection · Computer Science · Healthcare Policy and Management · Medicine · Nursing · Primary Care and Health Outcomes · Public Health Policies and Education
| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |