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Understanding place and health: a heuristic for using administrative data
Katherine L Frohlich1, James R Dunn, Lindsay McLaren
1GRIS-Université de Montréal, Montréal, Canada. katherine.frohlich@umontreal.ca
This study introduces a heuristic to analyze administrative data for place-based population health research. It addresses challenges in linking geographic data to health outcomes, improving research inference.
Area of Science:
- Public Health
- Health Services Research
- Geospatial Health
Background:
- Growing use of administrative data in population health research highlights limitations.
- A lack of theoretical frameworks hinders the interpretation of place-based health data.
- Existing research faces challenges in establishing clear links between geographic factors and health outcomes.
Purpose of the Study:
- To develop a heuristic for interrogating administrative data sets.
- To create explanatory pathways for linking place and health.
- To address inferential challenges in place-based health research using administrative data.
Main Methods:
- Development of a novel heuristic tool for data interrogation.
- Application of the heuristic through a worked example.
- Analysis of theoretical implications for data interpretation.
Main Results:
- The heuristic aids in developing pathways to link place and health.
- Administrative data can support multiple theoretical interpretations, complicating inference.
- Inductive versus deductive reasoning impacts research outcomes when using administrative data.
Conclusions:
- The developed heuristic offers a structured approach to analyzing administrative data for health research.
- Researchers must carefully consider theoretical frameworks and reasoning methods (inductive/deductive) when interpreting findings.
- Addressing inferential limitations is crucial for advancing place-based population health research.
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