ArticleAtencion primaria2015
[Morbidity observed in a health area: Impact on professionals and funding].
Article in Atencion primaria, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
4 citing papers in PubMed.
- Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain).International journal of environmental research and public health · 2022Observational
- [Impact of cardiovascular risk factors on the consumption of resources in Primary Care according to Clinical Risk Groups].Atencion primaria · 2019Observational
- Measurement of health-related quality by multimorbidity groups in primary health care.Health and quality of life outcomes · 2019Observational
- [Impact of Morbidity on Health Care Costs of a Department of Health through Clinical Risk Groups. Valencian Community, Spain].Revista espanola de salud publica · 2016Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo analyze morbidity, in the context of a health area, and broken down by health centre, of patients who made contact with healthcare services, in order to propose an adjustment to finance the payment per capita.
designA descriptive study of morbidity observed in citizens assigned a health area during year 2010. SITE: Health Area 9. Autonomous Community of Madrid. Formed by the municipalities of Fuenlabrada, Humanes, and Moraleja de Enmedio. All levels of health care included.
participantsAll citizens with health card assigned to a health center in the area who has maintained contact with the public health service's own area. MEASUREMENTS: Coded contact of patients are grouped using the Population Grouping Clinical Risk 3M TM Software (CRG). Each patient is included in a homogeneous and exclusive group with a numerical morbidity and clinical sense. Through the health card is known primary care centre, physician, age and sex.
resultsThe distribution of morbidity is obtained by primary care centre, primary care physician, age and sex analyzing differences and combinations.
conclusionsIt was found that the average values of the population morbidity are different in each primary care centre. In order to maintain the principle of equity in health care, it is suggested that an adjustment is made to the per capita payment based on the morbidity rate of the population.
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