ArticleAtencion primaria2006
[Factors affecting primary care referrals to specialised care in the community of Madrid].
Article in Atencion primaria, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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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
1 citing paper in PubMed.
- [Possibilities of routine data bases].Atencion primaria · 2006Article
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- Commented on by
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIdentification of the variables relative to the population characteristics and the primary and specialised care services provision which determine the referral rates between both levels.
designCross-sectional ecological study.
settingBasic health zones (BHZ) of the Community of Madrid (CAM), Spain, 2001.
participantsPopulation of the CAM. MAIN MEASUREMENTS: Dependent variable: population referral rate (PRR) (referrals per BHZ in 2001 divided by BHZ population). INDEPENDENT VARIABLES: population and their characteristics (income, unemployment, educational level, elderly and dependence level, marital status, immigrant rates); need of services (care frequency index and standardised mortality rate); primary care provision characteristics (number of doctors, distribution by age and sex, organisational model, number of years in primary care; specialised care provision characteristics (number of laboratory specialists, ratio of radio-diagnostic and clinical services doctors).
resultsThe average PRR is 31.9 (0.87) per 100 inhabitants, with a tendency for similar values to group into three clusters. Five components which explain 81.87% of the variation have been identified: total population, demographic characteristics, socioeconomic status, need of services, and social mobility. In the regression analysis (R2=0.18), the last 3 reach statistical significance.
conclusionsThe PRR is greater in the BHZ with higher levels of need of services and lower levels of socioeconomic status and social mobility. There is no relationship with either the provision or the organisation of primary care and specialised care. These variables should be included in the planning of the provision of services.
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