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Variability in potentially preventable hospitalisations: an observational study of clinical practice patterns of general practitioners and care outcomes in the Basque Country (Spain).

Orueta JF, García-Alvarez A, Grandes G, Nuño-Solinís R - BMJ Open (2015)

Bottom Line: 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)).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.

View Article: PubMed Central - PubMed

Affiliation: Head of Centro de Salud de Astrabudua (Primary Health Care Center of Astrabudua), Osakidetza (Basque Health Service), Erandio, Bizkaia, Spain.

No MeSH data available.


Relative consumption of resources by the 1193 general practitioners (GPs), by rank from lowest to highest. Difference with respect to an average GP expressed as ratios (visits, referrals) or in absolute value (prescribing costs). Vertical bars correspond to 95% CIs.
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BMJOPEN2014007360F1: Relative consumption of resources by the 1193 general practitioners (GPs), by rank from lowest to highest. Difference with respect to an average GP expressed as ratios (visits, referrals) or in absolute value (prescribing costs). Vertical bars correspond to 95% CIs.

Mentions: Figure 1 shows the distribution of GPs into the three levels of resource use. The percentages of GPs with higher and lower than expected resource use per patient were as follows: 228 (19.1%) and 140 (11.7%) for visits; 21.1% and 15.4% for referrals; and 17.9% and 16.3% for prescribing costs, respectively.


Variability in potentially preventable hospitalisations: an observational study of clinical practice patterns of general practitioners and care outcomes in the Basque Country (Spain).

Orueta JF, García-Alvarez A, Grandes G, Nuño-Solinís R - BMJ Open (2015)

Relative consumption of resources by the 1193 general practitioners (GPs), by rank from lowest to highest. Difference with respect to an average GP expressed as ratios (visits, referrals) or in absolute value (prescribing costs). Vertical bars correspond to 95% CIs.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4442212&req=5

BMJOPEN2014007360F1: Relative consumption of resources by the 1193 general practitioners (GPs), by rank from lowest to highest. Difference with respect to an average GP expressed as ratios (visits, referrals) or in absolute value (prescribing costs). Vertical bars correspond to 95% CIs.
Mentions: Figure 1 shows the distribution of GPs into the three levels of resource use. The percentages of GPs with higher and lower than expected resource use per patient were as follows: 228 (19.1%) and 140 (11.7%) for visits; 21.1% and 15.4% for referrals; and 17.9% and 16.3% for prescribing costs, respectively.

Bottom Line: 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)).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.

View Article: PubMed Central - PubMed

Affiliation: Head of Centro de Salud de Astrabudua (Primary Health Care Center of Astrabudua), Osakidetza (Basque Health Service), Erandio, Bizkaia, Spain.

No MeSH data available.