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Rev Esp Salud Publica ; 87(4): 383-92, 2013.
Article in Spanish | MEDLINE | ID: mdl-24100776

ABSTRACT

BACKGROUND: Different conditions in health services utilization may create situations of inequity. The objective was analyze the differences of nurse consultation utilization in primary care. METHODS: Cross-sectional study, in 23 health centres in Madrid. Environmental variables, consultation characteristics, socio-demographic and health need characteristics were collected. The quality of life and satisfaction were also studied. The variables were classified according to the "behavioral model" in predisposing, enabling or need variables. Explanatory multivariate models were constructed (Generalized-Estimating-Equations). RESULTS: The higher income areas and aging, predisposing factors, were associated with increases of 17% (95% CI: 0.4 to 36.9%) and 11.0% per decade (95% CI: 6.2 - 16.2) in nursing consultations per year. Among enabling factors, each additional minute of consultation length was associated with an increase of 2.0% (95% CI :1.2-2, 9%) in number of nurse consultations, each new medical consultation was associated with a increase of 2.7% (95% CI: 2.1-3.2%) and the delay in getting appointment over a day, represented a decrease of 32.8% (95% CI: 19.3 to 44.1%) in the total nursing consultations. Each chronic condition, which expresses the need health, was associated with an increase in the number of visits of 4.8% (95% CI: 1.7 to 8.0%). The improved perception of quality of life was associated with a reduction of 5.4% (95% CI 1.0 to 8.7%) of the consultations. CONCLUSION: The difference of the use of primary care nurse consultations is based on health need criteria, but is also influenced by accessibility conditions.


Subject(s)
Health Services Needs and Demand/statistics & numerical data , Practice Patterns, Nurses'/statistics & numerical data , Aged , Chronic Disease , Cross-Sectional Studies , Female , Health Services Accessibility/statistics & numerical data , Humans , Male , Middle Aged , Primary Health Care/statistics & numerical data , Quality of Life , Socioeconomic Factors , Spain
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