Association between abdominal obesity and depressive symptoms in Peruvian women aged 18-49 years: a sub-analysis of the Demographic and Family Health Survey 2018-2019.

OBJECTIVE: Abdominal obesity (AO) is characterised by excess adipose tissue. It is a metabolic risk that affects the physical and mental health, particularly in women since they are more prone to mental health problems like depression. This study investigated the association between AO and depressive symptoms in Peruvian women of reproductive age (18-49 years). DESIGN: This is a cross-sectional observational study. SETTING: Peruvian women population of reproductive age. PARTICIPANTS: We used data from the Peruvian Demographic and Family Health Survey (DHS) for 2018 and 2019 to assess 17 067 women for the presence of depressive symptoms (using the Patient Health Questionnaire (PHQ-9): cut-off score ≥ 10) and AO (measured by abdominal circumference; cut-off score ≥88 cm). RESULTS: We observed a 64·55 % prevalence of AO and 7·61 % of depressive symptoms in the study sample. Furthermore, 8·23 % of women with AO had depressive symptoms (P < 0·05). Initially, women with AO appeared to have a 26 % higher risk of depressive symptoms compared with women without AO (P = 0·028); however, after adjustment for covariates, no statistically significant association was observed. CONCLUSIONS: Therefore, although both conditions are common in women of this age group, no significant association was found between AO and depressive symptoms.

Physical punishment and effective verbal communication in children aged 9-36 months, according to sex: secondary analysis of a national survey.

BACKGROUND: A substantial number of children in the world are regularly subjected to physical punishment by their parents as a method of upbringing. Evidence suggests that it has negative effects on the development of brain function. However, evidence regarding its association with verbal communication is limited and heterogeneous. It is also unknown whether the effects are the same in both boys and girls; especially in the contexts of developing countries, where the highest rates of physical punishment are found. OBJECTIVE: This investigation aimed at analyzing the association between physical punishment administered by both fathers and mothers and effective verbal communication among children aged 9-36 months according to sex. METHODS: A secondary analytical cross-sectional study was conducted based on the 2018-2019 Peruvian Demographic and Family Health Survey. Physical punishment, based on the mother's report of the use of hitting and/or slapping, was considered as a method to correct children by the father and/or mother. Effective verbal communication (EVC) was measured using the Battle scale which consists of age-appropriate questions included in the early childhood development module. A generalized linear model of the family and Log Poisson link option was used to identify the association between them, using the crude, general adjusted, and sex-stratified models. RESULTS: Of all the children, 16.31% received physical punishment from their father and/or mother, wherein 16.65% were boys and 15.97% were girls. Moreover, 36.48% exhibited EVC, wherein 32.55% were boys and 40.50% were girls. Adjusting for socioeconomic level, witnessing violence, mother's marital status, age, occupation, education level, language, number of children, and moderate-to-severe depressive symptoms, it was found that boys who received physical punishment from their father and/or mother have a 31% lower probability of EVC (adjusted prevalence ratio (aPR) 0.69, 95% confidence interval (CI) 0.58-0.83, p < 0.001), whereas no association was found in girls who received physical punishment from their father and/or mother and EVC (aPR 0.93, 95% CI 0.81-1.06, p = 0.278). CONCLUSIONS: An association was found between physical punishment administered by father and/or mother and reduced EVC among boys, whereas no such association was found among girls. It is possible that even though a significant impact has not been observed in girls during this early stage, they may experience consequences in later stages of life, further research is needed.

Impact of the COVID-19 pandemic on the services provided by the Peruvian health system: an analysis of people with chronic diseases.

During the pandemic, many individuals with chronic or infectious diseases other than COVID-19 were unable to receive the care they needed due to the high demand for respiratory care. Our study aims to assess the impact of the COVID-19 pandemic on services provided to people with chronic diseases in Peru from 2016 to 2022. We performed a secondary database analysis of data registered by the comprehensive health insurance (SIS), the intangible solidarity health fund (FISSAL), and private healthcare institutions (EPS), using interrupted time series analysis. Our study identified 21,281,128 individual users who received care. The pooled analysis revealed an average decrease of 1,782,446 in the number of users receiving care in the first month of the pandemic compared with the expected values for that month based on pre-pandemic measurements. In addition, during the pandemic months, there was an average increase of 57,911 in the number of new additional single users who received care per month compared with the previous month. According to the time-series analysis of users receiving care per month based on each chronic disease group, the most significant decreases included people with diabetes without complications and chronic lung disease.

Relationship between job satisfaction, burnout syndrome and depressive symptoms in physicians: a cross-sectional study based on the employment demand-control model using structural equation modelling.

OBJECTIVE: To evaluate the relationship between job satisfaction, burnout syndrome (BS) and depressive symptoms (DS) based on the job demand-control framework model on a nationally representative sample of physicians working in the Peruvian Health System. SETTING: We carried out a secondary data analysis of the National Survey of Satisfaction of Users in Health 2016 in Peru. PRIMARY AND SECONDARY OUTCOME MEASURES: Our study assessed the development of the predictive model and had two parts: (1) to evaluate the association among the variables based on the job demand-control framework, and (2) to assess the proposed model acceptability using the structural equation modelling approach to estimate goodness-of-fit indices (GOFIs). PARTICIPANTS: We excluded physicians older than 65 years, who did not report income levels or who had missing data related to the workplace. Thus, we analysed 2100 participants. RESULTS: The prevalence of DS was 3.3%. Physicians' work-related illnesses had more probability to result in DS (prevalence ratio=2.23). DS was moderately related to BS dimensions (r>0.50); nevertheless, the relationships between DS and the three job satisfaction scales were weak (r<0.30). The first predictive model based on the variables, DS, BS and job satisfaction, had low GOFIs (comparative fit index (CFI)=0.883; root mean square error of approximation (RMSEA)=0.125). In a second evaluation, we used models with correlated errors obtaining optimal GOFIs (CFI=0.974; RMSEA=0.060). CONCLUSIONS: Our study identified a stable model to explain the relationship between job satisfaction, BS and DS among physicians. The results are consistent with the job demand-control framework. They could be applied to decision-making in occupational contexts in Latin American low/middle-income countries.

Development of the set of scales to assess the job satisfaction among physicians in Peru: validity and reliability assessment.

BACKGROUND: To assess the validity and reliability of the set of scales (general professional activity, health services management, and working conditions) on the different areas of job satisfaction in Peruvian physicians based on the data from the National Survey of Satisfaction of Users in Health (ENSUSALUD). METHOD: We carried out a psychometric study based on the secondary data analysis of Questionnaire 2 of ENSUSALUD-2016. Participants were selected from a two-stage stratified national probability representative sampling by political region. Validity was assessed by exploratory and confirmatory factor analyses, and measurement invariance analysis. We assessed the reliability using internal consistency coefficients (alpha and omega). The set of scales were composed of items related to three different areas of job satisfaction: 1) satisfaction with general professional activity, 2) satisfaction with the health services management, and 3) satisfaction with the working conditions of the health center. RESULTS: We included 2137 participants in the analysis. The general professional activity scale with six items (Comparative Fit Index, CFI = 0.946; Root Mean Square Error of Approximation, RMSEA = 0.071; Standardized Root Mean Square Residual, SRMR = 0.035), the health services management scale with eight items (CFI) = 0.972; RMSEA = 0.081; SRMR = 0.028), showed good measurement properties for the one-dimensional model. The working conditions scale with eight items for individual conditions and three items for infrastructural conditions (CFI = 0.914; RMSEA = 0.080; SRMR = 0.055) presented adequate measurement properties with a two-dimensional model. The invariance analysis showed that comparisons between sex, age, civil status, medical speciality, working in other institutions, work-related illness, chronic disease, and time working in the healthcare center. All scales had adequate internal consistency (ω and α between 0.70 and 0.90). CONCLUSIONS: The set of scales has a solid factorial structure and measurement invariance, making it possible for group comparison. The study achieved stability in the scores as they showed adequate internal consistency coefficients. Based on our findings, these instruments are suitable for measuring job satisfaction among outpatient physicians throughout Peru, as our data is representative of the country level.

Fourteen years of manifestations and factors of health insurance fraud, 2006-2020: a scoping review.

BACKGROUND: Healthcare fraud entails great financial and human losses; however, there is no consensus regarding its definition, nor is there an inventory of its manifestations and factors. The objective is to identify the definition, manifestations and factors that influence health insurance fraud (HIF). METHODS: A scoping review on health insurance fraud published between 2006 and 2020 was conducted in ACM, EconPapers, PubMed, ScienceDirect, Scopus, Springer and WoS. RESULTS: Sixty-seven studies were included, from which we identified 6 definitions, 22 manifestations (13 by the medical provider, 7 by the beneficiary and, 2 by the insurance company) and 47 factors (6 macroenvironmental, 15 mesoenvironmental, 20 microenvironmental, and 6 combined) associated with health insurance fraud. We recognized the elements of fraud and its dependence on the legal framework and health coverage. From this analysis, we propose the following definition: "Health insurance fraud is an act of deception or intentional misrepresentation to obtain illegal benefits concerning the coverage provided by a health insurance company". Among the most relevant manifestations perpetuated by the provider are phantom billing, falsification of documents, and overutilization of services; the subscribers are identity fraud, misrepresentation of coverage and alteration of documents; and those perpetrated by the insurance company are false declarations of benefits and falsification of reimbursements. Of the 47 factors, 25 showed an experimental influence, including three in the macroenvironment: culture, regulations, and geography; five in the mesoenvironment: characteristics of provider, management policy, reputation, professional role and auditing; 12 in the microenvironment: sex, race, condition of insurance, language, treatments, chronic disease, future risk of disease, medications, morale, inequity, coinsurance, and the decisions of the claims-adjusters; and five combined factors: the relationships between beneficiary-provider, provider-insurance company, beneficiary-insurance company, managers and guanxi. CONCLUSIONS: The multifactorial nature of HIF and the characteristics of its manifestations depend on its definition; Identifying the influence of the factors will support subsequent attempts to combat HIF.

[Validity and reliability of the satisfaction scale for outpatient care users in Peru]. / Validez y confiabilidad de la escala de satisfacción de los usuarios de consulta médica ambulatoria en Perú.

OBJECTIVES.: To assess the psychometric properties of a scale to measure the satisfaction of individuals seeking services at outpatient clinics (ESCOMA) in public healthcare centers in Peru. MATERIALS AND METHODS.: We carried out a study based on a dataset from Questionnaire 1 of the National Health Users Satisfaction Survey (ENSUSALUD) 2016. ENSUSALUD applied an initial scale of 19 items constructed based on bibliographic review, expert judgment and a pilot study. We first performed an exploratory factor analysis (EFA) in two random subsamples to assess the scale's internal structure. We then developed a confirmatory factor analysis (CFA) using robust maximum likelihood estimation. Lastly, we analyzed measurement invariance and assessed reliability using McDonald's Omega Coefficient (ω). RESULTS: : We randomly divided 13,814 observations into two subsamples for the EFA. Based on this analysis, we selected a best-fitting CFA model, which comprised three factors and 18 items. We found acceptable goodness-of-fit indices for the CFA (CFI = 0.945, TLI = 0.937, SRMR = 0.036). The three resulting factors were a) administrative processes, b) infrastructure and c) medical care. We found strong invariance for age, sex, educational level and area of residence, and partial invariance for type of institution. All reliability coefficients indicated adequate fit (0.86<ω<0.92). CONCLUSIONS.: The ESCOMA demonstrates validity, reliability, and measurement invariance at different levels of care in a nationally representative Peruvian sample.

OBJETIVOS.: Evaluar las propiedades psicométricas de la escala para medir la satisfacción de los usuarios de consulta médica ambulatoria (ESCOMA) en Instituciones Prestadoras de Servicios de Salud (IPRESS) del sistema de salud peruano (SSP). MATERIALES Y MÉTODOS.: Llevamos a cabo un estudio de tipo instrumental con los datos del Cuestionario 1 de la Encuesta Nacional de Satisfacción de Usuarios de Salud (ENSUSALUD) del 2016; en la cual se administró una escala inicial de 19 ítems construidos por revisión bibliográfica, juicio de expertos y estudio piloto. Realizamos un análisis factorial exploratorio (AFE) para valorar la estructura interna de la escala y luego un análisis factorial confirmatorio (AFC) mediante el método de estimación de máxima verosimilitud robusta. Finalmente, desarrollamos análisis de invarianza de medición y evaluamos la confiabilidad con el coeficiente omega de McDonald. RESULTADOS.: Analizamos 13 814 observaciones en dos submuestras aleatorias para el AFE con lo cual definimos un modelo de tres dimensiones con 18 ítems. En el AFC encontramos índices de bondad de ajuste aceptables (CFI=0,945; TLI=0,937; SRMR=0,036). Las dimensiones resultantes fueron: procesos administrativos, infraestructura y atención médica. Evidenciamos invarianza fuerte para la edad, sexo, nivel educativo y región, e invarianza parcial para el tipo de institución (Ministerio de Salud, Seguro Social, Fuerzas Armadas y Policiales, y Clínicas Privadas). Todos los coeficientes de confiabilidad fueron adecuados (0,86<ω<0,92). CONCLUSIONES.: La ESCOMA presenta evidencia de validez y confiabilidad a nivel estructural y de invarianza de medición a diferentes niveles de atención y a nivel nacional en Perú.

[Health insurance coverage: the peruvian case since the universal insurance act]. / Cobertura de aseguramiento en salud: el caso peruano desde la Ley de Aseguramiento Universal.

OBJECTIVE.: To describe the trends in health insurance coverage (HIC) in Peru during the period 2009-2017 and evaluate associations with demographic, social and economic factors. MATERIALS AND METHODS.: We carried out a secondary data-analysis from the Peruvian National Household Survey. For each year, we estimated the global HIC, for the Integral Health Insurance (SIS) and the Social Security system (EsSalud). In addition, we performed a trend analysis. For 2009 (Universal Health Insurance Act), 2013 (health care reform act) and 2017, we used a polytomous variable for the insurance type (SIS/EsSalud/Non-affiliated). We performed logistic multinomial regressions to estimate relative prevalence ratios (RPR) and their 95% CI with correction for complex sampling. RESULTS.: We observed an increasing trend in the global HIC (2009:60.5%; 2013:65.5%; 2017:76.4%), SIS coverage (2009:34%; 2013:35.4%; 2017:47%) and EsSalud coverage (2009:22.8%; 2013:26.4%; 2017:26.3%). Multinomial logistic regressions showed that being a woman increased the likelihood to be affiliated to the SIS (RPR= 2009:1.64 and 2017:1.53), while people between 18 and 39 years old, living in Lima Metropolitan area under non-poverty conditions reduced the likelihood to be affiliated to the SIS (RPR= 2009:0.16 and 2017:0.31; 2009:0.17 and 2017:0.37; 2009:0.51 and 2017:0.53; respectively). Furthermore, being a woman, 65 years old or over, living in urban Lima, and under non-poverty conditions increased the likelihood of being affiliated with the EsSalud (RPR= 2013:1.12 and 2017:1.24; 2013:1.32 and 2017:1.34; 2009:2.18 and 2017:2.08; 2009:2.14 and 2017:2.54; 2009:3.57 and 2017:2.53; respectively). CONCLUSIONS.: HIC has increased during the period 2009-2017. However, the characteristics of those affiliated are different between the various types of health insurance.

OBJETIVO.: Describir la evolución de la cobertura de aseguramiento en salud (CAS) en Perú para el periodo 2009-2017 y evaluar los principales factores demográficos, sociales y económicos asociados. MATERIALES Y MÉTODOS.: Realizamos un análisis secundario de la Encuesta Nacional de Hogares. Para cada año estimamos la CAS global, del Seguro Integral de Salud (SIS) y del Seguro Social en Salud (EsSalud), y realizamos pruebas de tendencias anuales. Para los años 2009 (Ley de Aseguramiento Universal en Salud), 2013 (reforma del sector salud) y 2017, construimos una variable politómica del tipo de aseguramiento (SIS/EsSalud/No asegurado) y estimamos razones relativas de prevalencia (RRP) con intervalos de confianza (IC) al 95% mediante modelos logísticos multinomiales para muestras complejas. RESULTADOS.: Observamos un incremento en la CAS global (2009: 60,5%; 2013: 65,5%; 2017: 76,4%), en el SIS (2009: 34%; 2013: 35,4%; 2017: 47%) y en EsSalud (2009: 22,8%; 2013: 26,4%; 2017: 26,3%). Observamos que ser mujer aumentó la posibilidad de afiliación al SIS (RRP=2009: 1,64 y 2017: 1,53), mientras que tener entre 18 y 39 años, residir Lima Metropolitana y ser no pobre redujeron esa posibilidad (RRP=2009: 0,16 y 2017: 0,31; 2009: 0,17 y 2017: 0,37; 2009: 0,51 y 2017: 0,53; respectivamente). Por su parte, ser mujer, tener más de 65 años, ser del ámbito urbano, residir en Lima Metropolitana y ser no pobre aumentó la probabilidad de estar afiliados a EsSalud (RRP=2013: 1,12 y 2017: 1,24; 2013: 1,32 y 2017: 1,34; 2009: 2,18 y 2017: 2,08; 2009: 2,14 y 2017: 2,54; 2009: 3,57 y 2017: 2,53; respectivamente). CONCLUSIONES.: La CAS ha incrementado durante el periodo 2009-2017. No obstante, las características de la población asegurada difieren de acuerdo con el tipo de seguro.

Satisfacción y tiempo de espera de usuarios de establecimientos de salud peruanos: análisis secundario de ENSUSALUD 2014-2016 / Satisfaction and waiting time of users from peruvian health care centers: a secondary analysis of ENSUSALUD 2014-2016

Introducción: Los sistemas de salud requieren contar con evaluaciones acerca de la calidad de la entrega de los servicios en el Perú. Objetivo: Estimar los niveles de satisfacción y tiempo de espera en usuarios de servicios de salud públicos y privados peruanos. Métodos: Análisis secundario del cuestionario 1 de la Encuesta Nacional de Satisfacción de Usuarios en Salud (ENSUSALUD) 2014, 2015 y 2016. El tiempo de espera fue definido como los minutos que tomó desde que el usuario llegó al establecimiento de salud hasta que ingresó al consultorio médico. La satisfacción fue evaluada con la percepción del usuario. Resultados: Los niveles de satisfacción fueron: 70,1% (IC 95% 69,7%-71,2%); 73,7% (IC 95% 72,5%-74,9%); y 73,9% (IC 95% 72,6%-75,1%) para el 2014, 2015 y 2016, respectivamente. Los usuarios afiliados al Seguro Integral de Salud (2014: 67,7% y 2016: 67,6%) y Seguro Social de Salud (EsSalud) (2015: 67,2%) fueron los que presentaron menores porcentajes. Las regiones que presentaron incremento en la satisfacción fueron Cajamarca (2016-2014: 26%), La Libertad (2016-2014: 26%). La mediana del tiempo de espera fue de 60 (q1-q3: 30-120), 75 (q1-q3: 30-150) y 75 (q1-q3: 35-140) minutos, para los años 2014, 2015 y 2016, respectivamente. La demora en la atención fue el problema más frecuente identificado por los usuarios. Conclusiones: En los años 2014, 2015 y 2016, el 70,1%, 73,7% y 73,9% de los usuarios de los servicios de salud peruanos estuvieron satisfechos con la atención. Se debe considerar la heterogeneidad por territorios y entidad financiera. La mediana de tiempo de espera para la atención fue de 60 minutos.

Introduction: Health systems require evaluations about the quality of the delivery of services in Peru. Objective: Estimate the levels of satisfaction and waiting time in users of public and private peruvian health services. Methods: Secondary analysis of questionnaire 1 of the National Survey of Satisfaction of Users in Health (ENSUSALUD) 2014, 2015 and 2016. The waiting time was defined as the minutes it took since the user arrived at the health facility until he entered the doctor’s office. Satisfaction was evaluated with the user’s perception. Results: Satisfaction levels were: 70,1% (95% CI: 69,7%-71,2%), 73,7% (95% CI: 72,5%-74,9%) and 73,9% (IC 95%: 72,6%-75,1%) for 2014, 2015 and 2016, respectively. The users affiliated to the Comprehensive Health Insurance (2014: 67,7%, and 2016: 67,6%) and Social Health Insurance (EsSalud) (2015: 67,2%) were those that presented lower percentages. The regions that showed an increase in satisfaction were Cajamarca (2016-2014: 26%), La Libertad (2016-2014: 26%). The median waiting time was 60 (q1-q3:30-120), 75 (q1-q3:30-150) and 75 (q1-q3: 35-140) minutes, for the years 2014, 2015 and 2016, respectively. The delay in the attention was the most frequent problem identified by the users. Conclusions: In 2014, 2015 and 2016, 70,1%, 73,7% and 73,9% of users peruvian health services were satisfied with the care. We should consider the heterogeneity by territories and financial entity. The median waiting time for care was 60 minutes.

Validez y confiabilidad de la escala de satisfacción de los usuarios de consulta médica ambulatoria en Perú / Validity and reliability of the satisfaction scale for outpatient care users in Peru

RESUMEN Objetivos. Evaluar las propiedades psicométricas de la escala para medir la satisfacción de los usuarios de consulta médica ambulatoria (ESCOMA) en Instituciones Prestadoras de Servicios de Salud (IPRESS) del sistema de salud peruano (SSP). Materiales y Métodos. Llevamos a cabo un estudio de tipo instrumental con los datos del Cuestionario 1 de la Encuesta Nacional de Satisfacción de Usuarios de Salud (ENSUSALUD) del 2016; en la cual se administró una escala inicial de 19 ítems construidos por revisión bibliográfica, juicio de expertos y estudio piloto. Realizamos un análisis factorial exploratorio (AFE) para valorar la estructura interna de la escala y luego un análisis factorial confirmatorio (AFC) mediante el método de estimación de máxima verosimilitud robusta. Finalmente, desarrollamos análisis de invarianza de medición y evaluamos la confiabilidad con el coeficiente omega de McDonald. Resultados. Analizamos 13 814 observaciones en dos submuestras aleatorias para el AFE con lo cual definimos un modelo de tres dimensiones con 18 ítems. En el AFC encontramos índices de bondad de ajuste aceptables (CFI=0,945; TLI=0,937; SRMR=0,036). Las dimensiones resultantes fueron: procesos administrativos, infraestructura y atención médica. Evidenciamos invarianza fuerte para la edad, sexo, nivel educativo y región, e invarianza parcial para el tipo de institución (Ministerio de Salud, Seguro Social, Fuerzas Armadas y Policiales, y Clínicas Privadas). Todos los coeficientes de confiabilidad fueron adecuados (0,86<ω<0,92). Conclusiones. La ESCOMA presenta evidencia de validez y confiabilidad a nivel estructural y de invarianza de medición a diferentes niveles de atención y a nivel nacional en Perú.

ABSTRACT Objectives. To assess the psychometric properties of a scale to measure the satisfaction of individuals seeking services at outpatient clinics (ESCOMA) in public healthcare centers in Peru. Materials and Methods. We carried out a study based on a dataset from Questionnaire 1 of the National Health Users Satisfaction Survey (ENSUSALUD) 2016. ENSUSALUD applied an initial scale of 19 items constructed based on bibliographic review, expert judgment and a pilot study. We first performed an exploratory factor analysis (EFA) in two random subsamples to assess the scale's internal structure. We then developed a confirmatory factor analysis (CFA) using robust maximum likelihood estimation. Lastly, we analyzed measurement invariance and assessed reliability using McDonald's Omega Coefficient (ω). Results : We randomly divided 13,814 observations into two subsamples for the EFA. Based on this analysis, we selected a best-fitting CFA model, which comprised three factors and 18 items. We found acceptable goodness-of-fit indices for the CFA (CFI = 0.945, TLI = 0.937, SRMR = 0.036). The three resulting factors were a) administrative processes, b) infrastructure and c) medical care. We found strong invariance for age, sex, educational level and area of residence, and partial invariance for type of institution. All reliability coefficients indicated adequate fit (0.86<ω<0.92). Conclusions. The ESCOMA demonstrates validity, reliability, and measurement invariance at different levels of care in a nationally representative Peruvian sample.

Cobertura de aseguramiento en salud: el caso peruano desde la Ley de Aseguramiento Universal / Health insurance coverage: the peruvian case since the universal insurance act

RESUMEN Objetivo. Describir la evolución de la cobertura de aseguramiento en salud (CAS) en Perú para el periodo 2009-2017 y evaluar los principales factores demográficos, sociales y económicos asociados. Materiales y métodos. Realizamos un análisis secundario de la Encuesta Nacional de Hogares. Para cada año estimamos la CAS global, del Seguro Integral de Salud (SIS) y del Seguro Social en Salud (EsSalud), y realizamos pruebas de tendencias anuales. Para los años 2009 (Ley de Aseguramiento Universal en Salud), 2013 (reforma del sector salud) y 2017, construimos una variable politómica del tipo de aseguramiento (SIS/EsSalud/No asegurado) y estimamos razones relativas de prevalencia (RRP) con intervalos de confianza (IC) al 95% mediante modelos logísticos multinomiales para muestras complejas. Resultados. Observamos un incremento en la CAS global (2009: 60,5%; 2013: 65,5%; 2017: 76,4%), en el SIS (2009: 34%; 2013: 35,4%; 2017: 47%) y en EsSalud (2009: 22,8%; 2013: 26,4%; 2017: 26,3%). Observamos que ser mujer aumentó la posibilidad de afiliación al SIS (RRP=2009: 1,64 y 2017: 1,53), mientras que tener entre 18 y 39 años, residir Lima Metropolitana y ser no pobre redujeron esa posibilidad (RRP=2009: 0,16 y 2017: 0,31; 2009: 0,17 y 2017: 0,37; 2009: 0,51 y 2017: 0,53; respectivamente). Por su parte, ser mujer, tener más de 65 años, ser del ámbito urbano, residir en Lima Metropolitana y ser no pobre aumentó la probabilidad de estar afiliados a EsSalud (RRP=2013: 1,12 y 2017: 1,24; 2013: 1,32 y 2017: 1,34; 2009: 2,18 y 2017: 2,08; 2009: 2,14 y 2017: 2,54; 2009: 3,57 y 2017: 2,53; respectivamente). Conclusiones. La CAS ha incrementado durante el periodo 2009-2017. No obstante, las características de la población asegurada difieren de acuerdo con el tipo de seguro.

ABSTRACT Objective. To describe the trends in health insurance coverage (HIC) in Peru during the period 2009-2017 and evaluate associations with demographic, social and economic factors. Materials and Methods. We carried out a secondary data-analysis from the Peruvian National Household Survey. For each year, we estimated the global HIC, for the Integral Health Insurance (SIS) and the Social Security system (EsSalud). In addition, we performed a trend analysis. For 2009 (Universal Health Insurance Act), 2013 (health care reform act) and 2017, we used a polytomous variable for the insurance type (SIS/EsSalud/Non-affiliated). We performed logistic multinomial regressions to estimate relative prevalence ratios (RPR) and their 95% CI with correction for complex sampling. Results. We observed an increasing trend in the global HIC (2009:60.5%; 2013:65.5%; 2017:76.4%), SIS coverage (2009:34%; 2013:35.4%; 2017:47%) and EsSalud coverage (2009:22.8%; 2013:26.4%; 2017:26.3%). Multinomial logistic regressions showed that being a woman increased the likelihood to be affiliated to the SIS (RPR= 2009:1.64 and 2017:1.53), while people between 18 and 39 years old, living in Lima Metropolitan area under non-poverty conditions reduced the likelihood to be affiliated to the SIS (RPR= 2009:0.16 and 2017:0.31; 2009:0.17 and 2017:0.37; 2009:0.51 and 2017:0.53; respectively). Furthermore, being a woman, 65 years old or over, living in urban Lima, and under non-poverty conditions increased the likelihood of being affiliated with the EsSalud (RPR= 2013:1.12 and 2017:1.24; 2013:1.32 and 2017:1.34; 2009:2.18 and 2017:2.08; 2009:2.14 and 2017:2.54; 2009:3.57 and 2017:2.53; respectively). Conclusions. HIC has increased during the period 2009-2017. However, the characteristics of those affiliated are different between the various types of health insurance.