BACKGROUND: Hospitalizations for ambulatory care sensitive conditions (ACSH) have been proposed as an indirect indicator of the effectiveness and quality of care provided by primary health care. OBJECTIVE: To investigate the association of ACSH rates with population socioeconomic factors and with characteristics of primary health care. RESEARCH DESIGN: Cross-sectional, ecologic study. Using hospital discharge data, ACSH were selected from the list of conditions validated for Spain. SETTING: All 34 health districts in the Region of Madrid, Spain. SUBJECTS: Individuals aged 65 years or older residing in the region of Madrid between 2001 and 2003, inclusive. MEASURES: Age- and gender-adjusted ACSH rates in each health district. RESULTS: The adjusted ACSH rate per 1000 population was 35.37 in men and 20.45 in women. In the Poisson regression analysis, an inverse relation was seen between ACSH rates and the socioeconomic variables. Physician workload was the only health care variable with a statistically significant relation (rate ratio of 1.066 [95% CI; 1.041-1.091]). These results were similar in the analyses disaggregated by gender. In the multivariate analyses that included health care variables, none of the health care variables were statistically significant. CONCLUSIONS: ACSH may be more closely related with socioeconomic variables than with characteristics of primary care activity. Therefore, other factors outside the health system must be considered to improve health outcomes in the population.
BACKGROUND: Hospitalizations for ambulatory care sensitive conditions (ACSH) have been proposed as an indirect indicator of the effectiveness and quality of care provided by primary health care. OBJECTIVE: To investigate the association of ACSH rates with population socioeconomic factors and with characteristics of primary health care. RESEARCH DESIGN: Cross-sectional, ecologic study. Using hospital discharge data, ACSH were selected from the list of conditions validated for Spain. SETTING: All 34 health districts in the Region of Madrid, Spain. SUBJECTS: Individuals aged 65 years or older residing in the region of Madrid between 2001 and 2003, inclusive. MEASURES: Age- and gender-adjusted ACSH rates in each health district. RESULTS: The adjusted ACSH rate per 1000 population was 35.37 in men and 20.45 in women. In the Poisson regression analysis, an inverse relation was seen between ACSH rates and the socioeconomic variables. Physician workload was the only health care variable with a statistically significant relation (rate ratio of 1.066 [95% CI; 1.041-1.091]). These results were similar in the analyses disaggregated by gender. In the multivariate analyses that included health care variables, none of the health care variables were statistically significant. CONCLUSIONS: ACSH may be more closely related with socioeconomic variables than with characteristics of primary care activity. Therefore, other factors outside the health system must be considered to improve health outcomes in the population.
Authors: Johannes Pollmanns; Patrick S Romano; Maria Weyermann; Max Geraedts; Saskia E Drösler Journal: Health Serv Res Date: 2017-03-22 Impact factor: 3.402
Authors: Tobias Freund; Stephen M Campbell; Stefan Geissler; Cornelia U Kunz; Cornelia Mahler; Frank Peters-Klimm; Joachim Szecsenyi Journal: Ann Fam Med Date: 2013 Jul-Aug Impact factor: 5.166
Authors: Barry G Saver; Ching-Yun Wang; Sharon A Dobie; Pamela K Green; Laura-Mae Baldwin Journal: Eur J Public Health Date: 2013-03-28 Impact factor: 3.367