RESUMO
OBJECTIVE: To determine the association between the non-use of health services due to mistreatment based on ethnicity in Peru. METHODS: Secondary analysis of National Household Survey (ENAHO) for 2019. We used Poisson generalized linear models for complex samples, and calculated crude and adjusted prevalence ratios (aPR) with their 95% confidence intervals (CIs). Collinearity relationships between variables were evaluated in the adjusted model. RESULTS: We analyzed 23,242 subjects. The prevalence of mistreatment was 1.4%, 95% CI 1.2-1.6. Belonging to Quechua or Aymara ethnicity was associated with higher prevalence of mistreatment (aPR 2.60, 95% CI 1.75-3.87 and aPR 2.98 95% CI 1.68-5.27, respectively). Further, the same was found if patient does or does not speak a native language (aPR 2.28, 95% CI 1.66-3.14). CONCLUSIONS: Being a Quechua patient or speaking a native language increased by two times and being of Aymara ethnicity increased by three times the probability of not going to health services due to mistreatment. The government should be encouraging cultural competency training for staff and considering staff more representative of the population.
Assuntos
Etnicidade , Serviços de Saúde , Estudos Transversais , Humanos , Peru/epidemiologia , PrevalênciaAssuntos
COVID-19 , Acessibilidade aos Serviços de Saúde , Nefropatias , Guias de Prática Clínica como Assunto , Diálise Renal , COVID-19/complicações , COVID-19/prevenção & controle , Países em Desenvolvimento , Hospitais , Humanos , Nefropatias/complicações , Nefropatias/terapia , Peru , SARS-CoV-2RESUMO
Objectives To estimate the prevalence of ineffective access to drugs (IAD) and associated factors in patients receiving a prescription in an outpatient clinic in Peru. Materials and Methods We performed a secondary data-analysis of the National Survey on User Satisfaction of Health Services (ENSUSALUD 2014), a two-stage population-based study carried out in health care centers of the Ministry of Health and Regional Governments (MOHRG), Social Security (EsSalud), Armed Forces and Police (AFP) and the private sector across all 25 regions of Peru. IAD was defined as incomplete or no dispensing of any prescribed medication in the health care center pharmacy. Generalized linear models with Poisson distribution for complex survey sampling were fit to estimate prevalence ratios (PR) and 95% confidence intervals (CI). Results Out of 13,360 participants, 80.9 % (95% CI: 79.9-81.8) had an active prescription, and of those, 90.8 % (95% CI: 90.1-91.6) sought their medications in a health care center pharmacy, where 30.6 % (95% CI 28.8-32.4) had IAD. In the multiple regression model, receiving medical attention in the MOHRG (PR 4.8; 95%CI: 3.5-6.54) or AFP (PR: 3.2; 95%CI: 2.3-4.5), being over 60 years old (PR: 1.17; 95%CI: 1.04-1.34) and being in the poorest income quintile (PR: 1.05; 95%CI: 1.05-1.41) increased IAD. Furthermore, in contrast to seeking care for pregnancy or other routine control, IAD was also more common for medical consultation for diseases diagnosed in the last 15 days (PR: 1.37; 95% CI: 1.05-1.79) or more than 15 days prior (PR: 1.51; 95% CI: 1.16-1.97). Conclusions In Peru, IAD is associated with the provider institution, older age, poverty and the reason for medical consultation. We suggest strategies to promote access to medicines, especially in the most disadvantaged segments of the Peruvian population.
Assuntos
Satisfação do Paciente , Prescrições , Adulto , Idoso , Feminino , Acessibilidade aos Serviços de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Peru , Pobreza , Prevalência , Inquéritos e QuestionáriosRESUMO
RESUMEN Objetivos Estimar la prevalencia de insuficiente acceso efectivo a medicamentos (IAEM) y sus factores asociados en usuariosque reciben prescripción médica en la consulta ambulatoria de instituciones prestadoras de servicios de salud (IPRESS) en Perú. Materiales y métodos Se realizó un análisis secundario de la Encuesta Nacional de Satisfacción de Usuarios en Salud (ENSUSALUD) del año 2014; estudio con muestreo probabilístico bietápico a nivel nacional en IPRESS del Ministerio de Salud y Gobiernos Regionales (MINSA-GR), Seguro Social de Salud (EsSalud), Fuerzas Armadas y Policiales (sanidades), y Clínicas del sector privado. El IAEM se definió como la dispensación incompleta o de ningún medicamento en la farmacia de la IPRESS. Se realizaron modelos lineales generalizados y se estimaron razones de prevalencia (RP) con IC 95% para muestreo complejo. Resultados De los 13 670 entrevistados, el 80,9% (IC 95%: 79,9-81,8%) recibieron indicación de medicamentos, y de éstos el 90,8% (IC 95%: 90,1-91,6%) los solicitaron en la farmacia de la IPRESS, donde el 30,6% (IC 95%:28,8-32,4%) tuvo IAEM. El ser atendido en el MINSA-GR (RP: 4,8; IC95%: 3,5-6,54) y en las sanidades (RP: 3,21; IC 95%: 2,3-4,5), el ser de la tercera edad (RP: 1,17; IC 95%: 1,04-1,34) y el pertenecer al quintil más pobre (RP: 1,21; IC 95%: 1,05-1,41) incrementaron la probabilidad de IAEM. Asimismo, los pacientes atendidos por una enfermedad de menos de 15 días (RP: 1,37; IC 95%: 1,05-1,79) y de 15 días a más (RP: 1,51; IC 95%: 1,16-1,97) tuvieron una mayor prevalencia de IAEM que aquellos atendidos por embarazo u otros controles. Conclusiones El IAEM está asociado al subsistema de salud, edad, pobreza y tipo de consulta realizada. Se sugieren implementar estrategias para fomentar el acceso a medicamentos en la población peruana.
ABSTRACT Objectives To estimate the prevalence of ineffective access to drugs (IAD) and associated factors in patients receiving a prescription in an outpatient clinic in Peru. Materials and Methods We performed a secondary data-analysis of the National Survey on User Satisfaction of Health Services (ENSUSALUD 2014), a two-stage population-based study carried out in health care centers of the Ministry of Health and Regional Governments (MOHRG), Social Security (EsSalud), Armed Forces and Police (AFP) and the private sector across all 25 regions of Peru. IAD was defined as incomplete or no dispensing of any prescribed medication in the health care center pharmacy. Generalized linear models with Poisson distribution for complex survey sampling were fit to estimate prevalence ratios (PR) and 95% confidence intervals (CI). Results Out of 13,360 participants, 80.9 % (95% CI: 79.9-81.8) had an active prescription, and of those, 90.8 % (95% CI: 90.1-91.6) sought their medications in a health care center pharmacy, where 30.6 % (95% CI 28.8-32.4) had IAD. In the multiple regression model, receiving medical attention in the MOHRG (PR 4.8; 95%CI: 3.5-6.54) or AFP (PR: 3.2; 95%CI: 2.3-4.5), being over 60 years old (PR: 1.17; 95%CI: 1.04-1.34) and being in the poorest income quintile (PR: 1.05; 95%CI: 1.05-1.41) increased IAD. Furthermore, in contrast to seeking care for pregnancy or other routine control, IAD was also more common for medical consultation for diseases diagnosed in the last 15 days (PR: 1.37; 95% CI: 1.05-1.79) or more than 15 days prior (PR: 1.51; 95% CI: 1.16-1.97). Conclusions In Peru, IAD is associated with the provider institution, older age, poverty and the reason for medical consultation. We suggest strategies to promote access to medicines, especially in the most disadvantaged segments of the Peruvian population.