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Association between continuity of care (COC), healthcare use and costs: what can we learn from claims data? A rapid review
OBJECTIVE: To describe how longitudinal continuity of care (COC) is measured using claims-based data and to review its association with healthcare use and costs. RESEARCH DESIGN: Rapid review of the literature. METHODS: We searched Medline (PubMed), EMBASE and Cochrane Central, manually checked the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112559/ https://www.ncbi.nlm.nih.gov/pubmed/35578226 http://dx.doi.org/10.1186/s12913-022-07953-z |
Sumario: | OBJECTIVE: To describe how longitudinal continuity of care (COC) is measured using claims-based data and to review its association with healthcare use and costs. RESEARCH DESIGN: Rapid review of the literature. METHODS: We searched Medline (PubMed), EMBASE and Cochrane Central, manually checked the references of included studies, and hand-searched websites for potentially additional eligible studies. RESULTS: We included 46 studies conducted in North America, East Asia and Europe, which used 14 COC indicators. Most reported studies (39/46) showed that higher COC was associated with lower healthcare use and costs. Most studies (37/46) adjusted for possible time bias and discussed causality between the outcomes and COC, or at least acknowledged the lack of it as a limitation. CONCLUSIONS: Whereas a wide range of indicators is used to measure COC in claims-based data, associations between COC and healthcare use and costs were consistent, showing lower healthcare use and costs with higher COC. Results were observed in various population groups from multiple countries and settings. Further research is needed to make stronger causal claims. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07953-z. |
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