Observational studyBMJ open2015
Variability in potentially preventable hospitalisations: an observational study of clinical practice patterns of general practitioners and care outcomes in the Basque Country (Spain).
Observational study in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Predicting Future Geographic Hotspots of Potentially Preventable Hospitalisations Using All Subset Model Selection and Repeated K-Fold Cross-Validation.International journal of environmental research and public health · 2021Article
- Regional variation of potentially avoidable hospitalisations in Switzerland: an observational study.BMC health services research · 2021Observational
- Article
- Impact of Disease Prevalence Adjustment on Hospitalization Rates for Chronic Ambulatory Care-Sensitive Conditions in Germany.Health services research · 2018Article
- Factors associated with hospitalisations in chronic conditions deemed avoidable: ecological study in the Spanish healthcare system.BMJ open · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo explain the variability in the frequency of potentially preventable hospitalisations (ambulatory care sensitive conditions, ACSCs) based on factors at multiple levels (individual, health professional, health centre and health district), and specifically using resource efficiency indicators for general practitioners (GPs).
designCross-sectional study. We analysed primary care electronic health records and hospital discharge data using multilevel mixed models.
settingPrimary care network of the Basque Health Service (Spain).
participantsAll the residents in the Basque Country ≥14 years of age, covered by the public healthcare system (n=1,959,682), and all the GPs (n=1193) and health centres (n=130).
main outcome measuresIndividuals admitted for ACSCs, over a 12- month period.
resultsAdmissions for ACSCs were less frequent among patients who were female, middle-aged or from the highest socioeconomic classes. The health centre variables considered and GP list size were not found to be significant. After adjusting for the variables studied including morbidity, the risk of hospital admission was higher among individuals under the care of GPs with greater than expected numbers of patient visits and prescribing costs (OR=1.27 (95% CI 1.18 to 1.37); 1.16 (1.08 to 1.25)), and who make fewer referrals than the mean among their colleagues (OR=1.33 (1.22 to 1.44)).
conclusionsWhen assessing activities and procedure indicators in primary care, we should also define outcome-based criteria. Specifically, GPs who are repeatedly visited by their patients, have higher prescribing costs and are more reluctant to refer patients to specialists obtain poorer outcomes.
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