Automated coding and selection of causes of death in Peru: a descriptive study, 2016-2019.

MAIN RESULTS: It could be seen good performance of the software for the automatic selection of the underlying cause of death, increasing from 69.6% in 2016 to 78.8% in 2019. There was a correlation between this result and the use of online death certificates by physicians. IMPLICATIONS FOR SERVICES: Automatic coding and selection of causes of death improve productivity and timeliness of information, contributing to the quality of the country's information system. PERSPECTIVES: It is necessary to analyze the agreement between the medical terms in the software dictionaries used in South American countries in order to improve standardization and comparability of information on causes of death. OBJECTIVE: to describe software performance in the automatic selection of the underlying cause of death in Peru, between 2016 and 2019. METHODS: this was a descriptive study on the software performance in the automated selection of the underlying cause of death over the years (chi-square test for trend) and the correlation between the type of death certificate and software performance (correlation coefficient and coefficient of determination). RESULTS: a total of 446,217 death certificates were analyzed; the proportion of death certificates with the underlying cause of death increased from 69.6% in 2016 to 78.8% in 2019 (p-value < 0.001); it could be seen a direct linear correlation between electronic death certificates and software performance (correlation coefficient = 0.95; R2 = 0.89). CONCLUSION: the software showed good performance in the automatic selection of the underlying cause of death, with a significant increase between 2016 and 2019.

Estimating Excess Mortality Due to Prostate, Breast, and Uterus Cancer during the COVID-19 Pandemic in Peru: A Time Series Analysis.

During the COVID-19 pandemic, most of the deaths in Peru were related to COVID-19; however, cancer deaths have also been exacerbated in the first months of the pandemic. Despite this, excess mortalities of prostate, breast, and uterus cancer are not available by age group and region from January to December 2020. Therefore, we estimated the excess deaths and excess death rates (per 100,000 habitants) due to prostate, breast, and uterus cancer in 25 Peruvian regions. We did a time series analysis. Prostate, breast, and uterus cancer death data for 25 Peruvian regions were retrieved during the COVID-19 pandemic in 2020, as well as data for up to 3 years prior (2017-2019) from the Sistema Informatico Nacional de Defunciones at the Ministry of Health of Peru. Deaths in 2020 were defined as observed deaths. The expected deaths (in 2020) were estimated using the average deaths over 3 preceding years (2017, 2018 and 2019). Excess mortality was calculated as the difference between observed mortality and expected mortality in 2020. We estimated that the number of excess deaths and the excess death rates due to prostate, breast, and uterus cancer were 610 deaths (55%; 12.8 deaths per 100,000 men), 443 deaths (43%; 6 deaths per 100,000 women), and 154 deaths (25%; 2 deaths per 100,000 women), respectively. Excess numbers of deaths and excess death rates due to prostate and breast cancer increased with age. These excess deaths were higher in men aged ≥ 80 years (596 deaths (64%) and 150 deaths per 100,000 men) and women aged 70-79 years (229 deaths (58%) and 15 deaths per 100,000 women), respectively. In summary, during the COVID-19 pandemic, there were excess prostate and breast cancer mortalities in 2020 in Peru, while excess uterus cancer mortalities were low. Age-stratified excess death rates for prostate cancer and breast cancer were higher in men ≥ 80 years and in women ≥ 70 years, respectively.

Automated coding and selection of causes of death in Peru: a descriptive study, 2016-2019 / Automatización de la codificación y selección de causas de muerte en Perú: estudio descriptivo, 2016-2019 / Automatização da codificação e seleção das causas de óbitos no Peru: estudo descritivo, 2016-2019

Abstract Objective: to describe software performance in the automatic selection of the underlying cause of death in Peru, between 2016 and 2019. Methods: this was a descriptive study on the software performance in the automated selection of the underlying cause of death over the years (chi-square test for trend) and the correlation between the type of death certificate and software performance (correlation coefficient and coefficient of determination). Results: a total of 446,217 death certificates were analyzed; the proportion of death certificates with the underlying cause of death increased from 69.6% in 2016 to 78.8% in 2019 (p-value < 0.001); it could be seen a direct linear correlation between electronic death certificates and software performance (correlation coefficient = 0.95; R2 = 0.89). Conclusion: the software showed good performance in the automatic selection of the underlying cause of death, with a significant increase between 2016 and 2019.

Resumen Objetivo: describir el desempeño de un software en la selección automática de la causa básica de muerte en Perú, entre 2016 y 2019. Métodos: estudio descriptivo de la tendencia del desempeño de un software para seleccionar la causa básica de muerte a través de los años (chi cuadrado de tendencia) y la correlación entre los certificados de defunción electrónicos y el desempeño del software (coeficientes de correlación y determinación). Resultados: se analizaron 446.217 certificados; la proporción de certificados con causa básica de muerte aumentó de 69,6% en 2016 a 78,8% en 2019 (p-valor < 0,001); se observó una correlación lineal directa entre certificados electrónicos y el desempeño del software (coeficiente de correlación = 0,95; R2 = 0,89). Conclusión: el software presentó un buen desempeño en la selección de la causa básica de muerte y aumentó significativamente entre 2016 y 2019.

Resumo Objetivo: descrever o desempenho de um software na seleção automática da causa básica de morte no Peru, entre 2016 e 2019. Métodos: estudo descritivo do desempenho de um software na seleção automatizada da causa básica de morte ao longo dos anos (teste qui-quadrado de tendência) e da correlação entre a forma de declaração de óbito e o desempenho do software (coeficientes de correlação e determinação). Resultados: foram analisadas 446.217 declarações de óbito; a proporção de declarações com causa básica de morte aumentou de 69,6%, em 2016, para 78,8%, em 2019 (p-valor < 0,001); observou-se correlação linear direta entre as declarações eletrônicas de óbito e o desempenho do software (coeficiente de correlação = 0,95; R2 = 0,89). Conclusão: o software apresentou bom desempenho na seleção automática da causa básica de morte, com aumento significativo entre 2016 e 2019.

Physicians' Perceptions as Predictors of the Future Use of the National Death Information System in Peru: Cross-sectional Study.

BACKGROUND: A computer application called the National Death Information System (SINADEF) was implemented in Peru so that physicians can prepare death certificates in electronic format and the information is available online. In 2018, only half of the estimated deaths in Peru were certified using SINADEF. When a death is certified in paper format, the probability being entered in the mortality database decreases. It is important to know, from the user's perspective, the factors that can influence the successful implementation of SINADEF. SINADEF can only be successfully implemented if it is known whether physicians believe that it is useful and easy to operate. OBJECTIVE: The aim of this study was to identify the perceptions of physicians and other factors as predictors of their behavioral intention to use SINADEF to certify a death. METHODS: This study had an observational, cross-sectional design. A survey was provided to physicians working in Peru, who used SINADEF to certify a death for a period of 12 months, starting in November 2019. A questionnaire was adapted based on the Technology Acceptance Model. The questions measured the dimensions of subjective norm, image, job relevance, output quality, demonstrability of results, perceived usefulness, perceived ease of use, and behavioral intention to use. Chi-square and logistic regression tests were used in the analysis, and a confidence level of 95% was chosen to support a significant association. RESULTS: In this study, 272 physicians responded to the survey; 184 (67.6%) were men and the average age was 45.3 (SD 10.1) years. The age range was 24 to 73 years. In the bivariate analysis, the intention to use SINADEF was found to be associated with (1) perceived usefulness, expressed as "using SINADEF avoids falsifying a death certificate" (P<.001), "using SINADEF reduces the risk of errors" (P<.001), and "using SINADEF allows for filling out a certificate in less time" (P<.001); and (2) perceived ease of use, expressed as "I think SINADEF is easy to use" (P<.001). In the logistic regression, perceived usefulness (odds ratio [OR] 8.5, 95% CI 2.2-32.3; P=.002), perceived ease of use (OR 10.1, 95% CI 2.4-41.8; P=.001), and training in filling out death certificates (OR 8.3, 95% CI 1.6-42.8; P=.01) were found to be predictors of the behavioral intention to use SINADEF. CONCLUSIONS: The behavioral intention to use SINADEF was related to the perception that it is an easy-to-use system, the belief that it improves the performance of physicians in carrying out the task at hand, and with training in filling out death certificates.

La cobertura de muertes con certificación médica en el Perú, 2012-2019 / Coverage of deaths with medical certification in Peru, 2012-2019

RESUMEN El fortalecimiento de los sistemas de registro civil y estadísticas vitales (RCEV) es indispensable para evaluar el impacto de las intervenciones sanitarias y los efectos de las emergencias sanitarias. El Perú enfrentó la pandemia de la COVID-19, en pleno proceso de fortalecimiento del sistema de RCEV, en el que destacó la implementación de SINADEF, lo que le permitió mejorar la calidad y la cobertura de la información sobre la mortalidad. Se realizó una recopilación de información de diversas fuentes de información pública para calcular la cobertura de la mortalidad en el Perú para el periodo 2012 a 2019. La cobertura de las muertes con certificación médica ascendió de 57,65% en 2016 a 71,6% en 2019 y mejoró en todas las regiones del Perú a nivel nacional, adicionalmente, la certificación en línea de las defunciones ascendió de 29% en 2017 a 86% en 2020. El SINADEF ha permitido implementar un sistema de vigilancia rápida de la mortalidad y medir el exceso de la mortalidad que se viene produciendo en el contexto de la pandemia.

ABSTRACT The strengthening of civil registration and vital statistics (RCEV) systems is essential to assess the impact of health interventions and the effects of health emergencies. Peru faced the COVID-19 pandemic, in the process of strengthening the RCEV system, in which the implementation of SINADEF stood out, which allowed it to improve the quality and coverage of information on mortality. A compilation of information from various public information sources was carried out to calculate the coverage of mortality in Peru for the period 2012 to 2019. The coverage of deaths with medical certification rose from 57.65% in 2016 to 71.6% in 2019 and improved in all regions of Peru at the national level, additionally, online certification of deaths rose from 29% in 2017 to 86% in 2020. The SINADEF has made it possible to implement a rapid mortality surveillance system and measure the excess mortality that is occurring in the context of the pandemic.

The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru.

Objectives: We aimed to understand the information architecture and degree of integration of mortality surveillance systems in Ghana and Peru. Methods: We conducted a cross-sectional study using a combination of document review and unstructured interviews to describe and analyse the sub-systems collecting mortality data. Results: We identified 18 and 16 information subsystems with independent databases capturing death events in Peru and Ghana respectively. The mortality information architecture was highly fragmented with a multiplicity of unconnected data silos and with formal and informal data collection systems. Conclusion: Reliable and timely information about who dies where and from what underlying cause is essential to reporting progress on Sustainable Development Goals, ensuring policies are responding to population health dynamics, and understanding the impact of threats and events like the COVID-19 pandemic. Integrating systems hosted in different parts of government remains a challenge for countries and limits the ability of statistics systems to produce accurate and timely information. Our study exposes multiple opportunities to improve the design of mortality surveillance systems by integrating existing subsystems currently operating in silos.

Use of Smartphones for the Detection of Uterine Cervical Cancer: A Systematic Review.

Little is known regarding the usefulness of the smartphone in the detection of uterine cervical lesions or uterine cervical cancer. Therefore, we evaluated the usefulness of the smartphone in the detection of uterine cervical lesions and measured its diagnostic accuracy by comparing its findings with histological findings. We conducted a systematic review to identify studies on the usefulness of the smartphone in detecting uterine cervical lesions indexed in SCOPUS, MEDLINE/PubMed, Cochrane, OVID, Web of Science, and SciELO until November 2020. The risk of bias and applicability was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. A total of 16 studies that evaluated the usefulness of the smartphone in the detection of uterine cervical lesions based on the images clicked after visual inspection with acetic acid (VIA), Lugol's iodine (VILI), or VIA/VILI combination were included in the study. Five studies estimated diagnostic sensitivity and specificity, nine described diagnostic concordance, and five described the usefulness of mobile technology. Among the five first studies, the sensitivity ranged between 66.7% (95% confidence interval (CI); 30.0-90.3%) and 94.1% (95% CI; 81.6-98.3%), and the specificity ranged between 24.0% (95% CI; 9.0-45.0%) and 85.7% (95% CI; 76.7-91.6%). The risk of bias was low (20%), and the applicability was high. In conclusion, the smartphone images clicked after a VIA were found to be more sensitive than those following the VILI method or the VIA/VILI combination and naked-eye techniques in detecting uterine cervical lesions. Thus, a smartphone may be useful in the detection of uterine cervical lesions; however, its sensitivity and specificity are still limited.

How has COVID-19 impacted the civil registration and vital statistics system in Loreto, Perú? Evidence using process mapping and qualitative analysis.

OBJECTIVES: Accurate civil registration and vital statistics (CRVS) systems are the primary data source to measure the impact of the COVID-19 pandemic on mortality. This study assesses how the pandemic impacted CRVS system processes in Loreto region of Peru, one of the worst affected countries globally. DESIGN: Qualitative study. SETTING: Loreto, a remote region, which had the highest reported mortality rate in Peru during the pandemic. PARTICIPANTS: Semistructured individual interviews and documentary analysis were conducted between September 2020 and May 2021 with 28 key informants from eight institutions involved in death certification. Key informants were identified using a purposive sampling strategy commencing at the Health Directorate of Loreto, and the snowball method was used where a participant suggested another organisation or person. Information from key informants was used to compare business process maps of the CRVS system before and during the pandemic. RESULTS: During early May 2020, there were seven times more registered deaths than in earlier years, but key informants believed this underestimated mortality by 20%-30%. During the pandemic, families had to interact with more institutions during the death certification process. Several issues disrupted death certification processes, including the burden of increased deaths, the Environmental Health Directorate often removing a body without the family's express agreement, the creation of COVID-19 cemeteries where no death certificate was needed for burial, greater participation of funeral homes that often used outdated paper forms, and closure of civil registry offices. There was increased use of the online National Death System (SINADEF) but many users had problems with access. CONCLUSIONS: The pandemic substantially disrupted CRVS processes in Loreto, making death certification more difficult, placing greater burden on the family and leading to more participation from unregulated organisations such as funeral homes or cemeteries. These disruptions were impacted by limitations of the CRVS system's processes before the pandemic.

Supervivencia de los trabajadores de salud infectados por SARS-CoV-2 en el contexto de la vacunación contra la COVID-19 en el Perú / Survival of health workers infected by SARS-CoV-2 in the context of vaccination against COVID-19 in Peru

RESUMEN Objetivos. Evaluar la supervivencia de los trabajadores de salud infectados por SARS-CoV-2 en el contexto del proceso de vacunación contra la COVID-19 en el Perú. Métodos. Se realizó un análisis de supervivencia a partir de datos provenientes de las bases nacionales en salud. Se incluyó datos de personas entre 18 y 59 años infectadas por SARS-CoV-2 evidenciada por prueba molecular o antigénica. Se elaboraron gráficos de Kaplan Meier para comparar la sobrevida de los trabajadores de salud y el resto de la población durante el año 2021 y el trabajador de salud durante la primera y segunda ola de mortalidad en el Perú en el 2020 y 2021, respectivamente. Resultados. Se incluyeron datos de 998 295 personas. La edad promedio fue 41,2 años (DE 15,8) y 485 167 (48,6%) fueron mujeres. Se encontró un mayor nivel de sobrevida de los trabajadores de salud después de la vacunación con respecto a la población en general y a la población de los trabajadores de salud antes de la vacunación. Se evidenció que, al inicio de la segunda ola, el riesgo de morir de los trabajadores de salud era el doble del que tenían en la primera ola (HR=2). Después de la vacunación (en el sexto mes de la segunda ola), el riesgo de morir disminuyó hasta 87,5% menos que en la primera ola (HR=0,125). Conclusiones. Se ha evidenciado un cambio positivo en el nivel de sobrevida de los trabajadores de salud infectado por SARS-CoV-2 durante el contexto de la vacunación contra la COVID-19 en el Perú.

ABSTRACT Objectives. To evaluate the survival of health personnel infected by SARS-CoV-2 in the context of the vaccination process against COVID-19 in Peru. Methods. A survival analysis was performed using data from national health databases. Data from people between 18 and 59 years old infected with SARS-CoV-2 as evidenced by molecular or antigenic tests were included. Kaplan Meier graphs were produced to compare the survival of health personnel and the rest of the population during 2021 and health personnel during the first and second wave of mortality in Peru in 2020 and 2021, respectively. Results. Data from 998 295 people were included. The average age was 41.2 years (SD 15.8) and 485 167 (48.6%) were women. A higher level of survival of health workers after vaccination was found compared to the general population and to the population of health workers before vaccination. It was evidenced that, at the beginning of the second wave, the risk of dying for health workers was twice that of the first wave (HR = 2). After vaccination (in the sixth month of the second wave), the risk of dying decreased to 87.5% less than in the first wave (HR = 0.125). Conclusions. A positive change has been evidenced in the level of survival of health personnel infected by SARS-CoV-2 during the context of vaccination against COVID-19 in Peru.

CAUSES OF MATERNAL DEATH IN THE CALLAO REGION, PERÚ. DESCRIPTIVE STUDY, 2000-2015.

OBJETIVE: To identify the causes of maternal mor- tality in the Callao Region between 2000 and 2015. METHODS: Case series study conducted in public and private healthcare institutions in the region of Callao in Perú. Overall, 131 women who met the selection criteria were included as cases of maternal mortality (MM). MM was defined as death of a woman during pregnancy, childbirth or the postpartum period (within the first 42 days after childbirth) in healthcare institutions in Callao. MM clinical-epidemiological records were reviewed. The analysis was performed using percent frequencies and means. RESULTS: Of the causes of MM, 61.1 % were direct and 38.9 % were indirect. The most frequent direct causes were hypertensive disorders of pregnancy, obstetric bleeding and miscarriage. Average time between the onset of discomfort and the decision to ask for assistance was 20 minutes; mean time to arrive at the healthcare institution after making the decision was 20 minutes; and mean delay time between arrival to the institution and provision of care was 7 minutes. Of the total number of maternal deaths, 96.9 % occurred in a healthcare institution. CONCLUSION: The study showed that the causes of MM are mainly of a direct type, primarily due to hypertensive disorders of pregnancy, obstetric bleeding and miscarriage, while indirect causes of MM were less frequent, consisting mainly of infectious causes..

TITULO: CAUSAS DE MUERTE MATERNA EN LA REGIÓN DE CALLAO, PERÚ. ESTUDIO DESCRIPTIVO, 2000-2015. OBJETIVO: Identificar las causas de mortalidad ma- terna en la región de Callao, entre los años 2000 y 2015. METODOS: Estudio de serie de casos en establecimientos de salud (ES) públicos y priva- dos de la región de Callao en Perú. Se incluyeron 131 mujeres como casos de muerte materna (MM) que cumplían los criterios de selección. Se consideró MM, mujer fallecida durante el embarazo, parto o posparto (dentro de los 42 días posparto), en ES del Callao. Se revisaron las historias clínico-epi- demiológicas de MM. El análisis se realizó usando frecuencias porcentuales y promedios. RESULTADOS: El 61,1 % de las causas fueron directas y el 38,9 % indirectas. Las causas directas más frecuentes fueron los trastornos hipertensivos del embarazo, las hemorragias obstétricas y el aborto. La mediana del tiempo que tardó la gestante desde el inicio de las molestias hasta que decidió pedir atención fueron 20 minutos, la mediana del tiempo que tardó en llegar al ES luego de decidir la atención fue de 20 minutos, y la mediana del tiempo de demora desde que llegó la gestante al ES hasta ser atendida fue de 7 minutos. El 96,9 % de las muertes maternas se produjeron en ES. CONCLUSIONES: El estudio demostró que la principal causa de MM es la directa, principalmente debido a trastornos hipertensivos del embarazo; la hemo- rragia obstétrica y el aborto, mientras que en menor proporción fueron las MM indirectas, principal- mente enfermedades infecciosas.

Asociación entre los factores sociodemográficos, obstétricos y patológicos con la muerte fetal tardía: estudio de casos y controles en un hospital de Perú / Association between sociodemographic, obstetric and pathologic factors with late fetal death: a case-control study in a peruvian hospital

Introducción: En el Perú, poco se conoce acerca de los factores de riesgo asociados a la muerte fetal tardía, lo que se considera información valiosa para implementar estrategias de prevención. Objetivos: Evaluar la asociación entre factores sociodemográficos, obstétricos y patológicos y la muerte fetal tardía en un hospital peruano. Métodos: Estudio retrospectivo de casos y controles entre el mes de julio de 2014 y junio de 2016. Los casos fueron gestantes que tuvieron muerte fetal intrauterina, y los controles fueron gestantes que tuvieron un recién nacido vivo. Se evaluaron factores como nivel educativo, ocupación, número de controles prenatales (CPN), y la presencia de complicaciones como parto pre-termino, pre-eclampsia o retardo del crecimiento intrauterino (RCIU) Resultados: Se incluyeron 60 casos y 120 controles. El nivel educativo primario (OR: 4,3; IC 95% 1,0-18,0), la ocupación trabajadora (OR: 3,8; IC 95% 1,3-11,0), no tener CPN (OR: 21,0; IC 95% 2,6-170,1), la pre-eclampsia (OR: 4,1; IC 95% 1,3-12,7), el parto pretérmino (OR: 10,1; IC 95% 4.7-21,7) y RCIU (OR: 7,0; IC 95% 2,4-20,5) se asociaron con la mortalidad fetal. Conclusión: Existen factores de riesgo sociodemográficos, obstétricos y patológicos asociados a tener muerte fetal tardía.

Introduction: In Peru, a little is known about risk factors associated with late fetal death. This is a valuable information, which have to be used in order to implement preventional strategies. Objectives: To evaluate association between late fetal death and social, demographical, obstetrical and pathological factors in a peruvian hospital. Methods: A retrospective study of cases and controls between July 2014 and June 2016. The cases were pregnant women who had intrauterine fetal death and controls were pregnant women who had a newborn alive. Educational level, profession, number of prenatal care consults (CPN), and complications as preterm birth, pre-eclampsia or intrauterine growth retardation (RCIU) were evaluated as possible associated factors. Results: 60 cases and 120 controls were included. Primary education level (OR = 4,3; 95% CI = 1,0-18,0), working occupation (OR = 3,8; 95% CI = 1,3-11,0), no CPN (OR = 21,0; 95% CI = 2,6-170,1), pre-eclampsia (OR = 4,1; 95% CI = 1,3-12,7), preterm birth (OR = 10,1; 95%CI = 4,7-21,7) and RCIU (OR = 7.0; 95%CI = 2.4-20.5) were associated with fetal mortality. Conclusion: There are social, demographical, obstetrical and pathological risk factors associated with late fetal death.

Causes of maternal death in the callao region, perú. descriptive study, 2000-2015 / Causas de muerte materna en la región de callao, perú. estudio descriptivo, 2000-2015

ABSTRACT Objective: To identify the causes of maternal mortality in the Callao Region between 2000 and 2015. Materials and methods: Case series study conducted in public and private healthcare institutions in the region of Callao in Perú. Overall, 131 women who met the selection criteria were included as cases of maternal mortality (MM). MM was defined as death of a woman during pregnancy, childbirth or the postpartum period (within the first 42 days after childbirth) in healthcare institutions in Callao. MM clinical-epidemiological records were reviewed. The analysis was performed using percent frequencies and means. Results: Of the causes of MM, 61.1 % were direct and 38.9 % were indirect. The most frequent direct causes were hypertensive disorders of pregnancy, obstetric bleeding and miscarriage. Average time between the onset of discomfort and the decision to ask for assistance was 20 minutes; mean time to arrive at the healthcare institution after making the decision was 20 minutes; and mean delay time between arrival to the institution and provision of care was 7 minutes. Of the total number of maternal deaths, 96.9 % occurred in a healthcare institution. Conclusion: The study showed that the causes of MM are mainly of a direct type, primarily due to hypertensive disorders of pregnancy, obstetric bleeding and miscarriage, while indirect causes of MM were less frequent, consisting mainly of infectious causes.

RESUMEN Objetivo: identificar las causas de mortalidad materna en la región de Callao, entre los años 2000 y 2015. Materiales y métodos: estudio de serie de casos en establecimientos de salud (ES) públicos y privados de la región de Callao en Perú. Se incluyeron 131 mujeres como casos de muerte materna (MM) que cumplían los criterios de selección. Se consideró MM, mujer fallecida durante el embarazo, parto o posparto (dentro de los 42 días posparto), en ES del Callao. Se revisaron las historias clínico-epidemiológicas de MM. El análisis se realizó usando frecuencias porcentuales y promedios. Resultados: el 61,1 % de las causas fueron directas y el 38,9 % indirectas. Las causas directas más frecuentes fueron los trastornos hipertensivos del embarazo, las hemorragias obstétricas y el aborto. La mediana del tiempo que tardó la gestante desde el inicio de las molestias hasta que decidió pedir atención fueron 20 minutos, la mediana del tiempo que tardó en llegar al ES luego de decidir la atención fue de 20 minutos, y la mediana del tiempo de demora desde que llegó la gestante al ES hasta ser atendida fue de 7 minutos. El 96,9 % de las muertes maternas se produjeron en ES. Conclusión: el estudio demostró que la principal causa de MM es la directa, principalmente debido a trastornos hipertensivos del embarazo; la hemorragia obstétrica y el aborto, mientras que en menor proporción fueron las MM indirectas, principalmente enfermedades infecciosas.

Saving lives through certifying deaths: assessing the impact of two interventions to improve cause of death data in Perú.

BACKGROUND: Mortality statistics derived from cause of death data are an important source of information for population health monitoring, priority setting and planning. In Perú, almost all death certificates are issued by doctors because it is a legal requirement. However, the quality of cause of death data is poor. In August 2016, the Ministry of Health of Perú decided to make two specific interventions to improve cause of death data: to introduce an online death certification system and to train doctors in standard death certification practices. METHODS: The study comprised a random sample of 300 pre-intervention death certificates, 900 death certificates that were part of the online intervention, and 900 death certificates that were part of both the online and training interventions. All the deaths had occurred between January and September 2017. We used the Assessing the quality of death certification tool from the University of Melbourne for the assessment. We examined the frequency of common errors in death certificates, the frequency of any error and the average error score for each category of: age group, sex, doctor's seniority, doctor's speciality, level of health facility and broad cause of death. RESULTS: The average error score declined by 38% due to the online intervention and by a further 26% due to the training intervention. Improved certification practices remained after controlling for potentially confounding factors. Main improvements were reductions in the absence of a time interval (66% of certificates), incorrect sequence of causes (22%), and ill-defined conditions (13%). CONCLUSIONS: This study demonstrates how the two interventions introduced by the Ministry of Health in Perú improved the correctness of death certificates. The study also provides evidence on necessary changes to the training program to address the poor certification practices that have remained after implementation of the online system.

[Preliminary results of the strengthening of the national death registry information system]. / Resultados preliminares del fortalecimiento del sistema informático nacional de defunciones.

Peru has a low coverage of deaths with a cause of death (54%) and a poor-quality registration of causes of death, as about 30% of causes of death are classified as poorly-defined or not very useful for the formulation of public policies. In response to these problems, the Ministry of Health, together with other government agencies, with the support of the Bloomberg Philanthropies "Data for Health Initiative," is implementing the National Death Registry Information System (SINADEF). The objective of this article is to describe the process of strengthening the mortality information system in Peru, focused on the implementation of SINADEF. The activities that have been carried out are described in the following areas: a) Management of the mortality information system, b) Process standardization, c) Use of information and communication technology, d) Coverage of deaths with medical certificate, e) Improvement of the quality of information, f) Development of studies, and g) Monitoring of processes. Since the implementation of SINADEF in August 2016 until July 2018, 28,407 users of the SINADEF application have been created and a total of 122,411 deaths have been registered. The quality of data recording, including the cause of death, has been improved, while low coverage of deaths with a cause of death still persists.

El Perú tiene una baja cobertura de defunciones con causa de defunción (54 %) y una mala calidad del registro de las causas de defunción, mas de 45 % de las causas de muerte se clasifican como mal definidas o poco útiles para la formulación de políticas públicas. En respuesta a estos problemas, el Ministerio de Salud, junto a otras agencias gubernamentales, con el apoyo de la Iniciativa Bloomberg "Información para la Salud" está implementando el Sistema Informático Nacional de Defunciones (SINADEF). El objetivo de este artículo es describir el proceso de fortalecimiento del sistema de información de la mortalidad en Perú, centrado en la implementación del SINADEF. Se describe las actividades que se vienen realizando en los siguientes ejes: a) Gestión del sistema de información de la mortalidad, b) Estandarización de procesos, c) Uso de tecnología de información y comunicación, d) Cobertura de las defunciones con certificación médica, e) Mejora de la calidad de la información, f) Desarrollo de estudios y g) Monitoreo de los procesos. Desde el inicio de la implementación del SINADEF, en agosto de 2016 hasta julio de 2018, se han creado 28 407 usuarios del aplicativo del SINADEF y se han registrado un total de 122 411 defunciones. Se ha mejorado la calidad del registro de los datos, incluyendo la causa de defunción, pero aún persiste la baja cobertura de defunciones con causa de muerte.

Resultados preliminares del fortalecimiento del sistema informático nacional de defunciones / Preliminary results of the strengthening of the national death registry information system

El Perú tiene una baja cobertura de defunciones con causa de defunción (54 %) y una mala calidad del registro de las causas de defunción, mas de 45 % de las causas de muerte se clasifican como mal definidas o poco útiles para la formulación de políticas públicas. En respuesta a estos problemas, el Ministerio de Salud, junto a otras agencias gubernamentales, con el apoyo de la Iniciativa Bloomberg «Información para la Salud¼ está implementando el Sistema Informático Nacional de Defunciones (SINADEF). El objetivo de este artículo es describir el proceso de fortalecimiento del sistema de información de la mortalidad en Perú, centrado en la implementación del SINADEF. Se describe las actividades que se vienen realizando en los siguientes ejes: a) Gestión del sistema de información de la mortalidad, b) Estandarización de procesos, c) Uso de tecnología de información y comunicación, d) Cobertura de las defunciones con certificación médica, e) Mejora de la calidad de la información, f) Desarrollo de estudios y g) Monitoreo de los procesos. Desde el inicio de la implementación del SINADEF, en agosto de 2016 hasta julio de 2018, se han creado 28 407 usuarios del aplicativo del SINADEF y se han registrado un total de 122 411 defunciones. Se ha mejorado la calidad del registro de los datos, incluyendo la causa de defunción, pero aún persiste la baja cobertura de defunciones con causa de muerte.

Peru has a low coverage of deaths with a cause of death (54%) and a poor-quality registration of causes of death, as about 30% of causes of death are classified as poorly-defined or not very useful for the formulation of public policies. In response to these problems, the Ministry of Health, together with other government agencies, with the support of the Bloomberg Philanthropies «Data for Health Initiative,¼ is implementing the National Death Registry Information System (SINADEF). The objective of this article is to describe the process of strengthening the mortality information system in Peru, focused on the implementation of SINADEF. The activities that have been carried out are described in the following areas: a) Management of the mortality information system, b) Process standardization, c) Use of information and communication technology, d) Coverage of deaths with medical certificate, e) Improvement of the quality of information, f) Development of studies, and g) Monitoring of processes. Since the implementation of SINADEF in August 2016 until July 2018, 28,407 users of the SINADEF application have been created and a total of 122,411 deaths have been registered. The quality of data recording, including the cause of death, has been improved, while low coverage of deaths with a cause of death still persists.

Relación entre la dieta vegetariana y el cáncer colorrectal en Lima, Perú / Relationship between a vegeterian diet and colorectal cancer in Lima, Perú

OBJETIVO: Determinar la relación que existe entre el consumo de la dieta vegetariana y el cáncer colorrectal en adultos de dos hospitales de Lima. MATERIAL Y MÉTODOS: Se realizó un estudio analítico de casos y controles considerando exposición al tipo de dieta y efecto al cáncer colorrectal. Se incluyeron 142 casos y 143 controles. Los casos fueron adultos con cáncer colorrectal diagnosticados mediante biopsia y el control fue el adulto sin cáncer colorrectal, atendidos en el mismo período y hospital. Se aplicó una encuesta previamente revisada por expertos, se efectuó un estudio piloto para evaluar comprensión y se realizaron los ajustes pertinentes. Se calculó chi cuadrado, OR y regresión logística. RESULTADOS: La mediana de edad fue 62 años, predominantemente mujeres, la mayoría con nivel educativo secundario. El análisis bivariado mostró que el sexo (X2=13.01; valor p<0.01), el nivel educativo (X2=11.31; valor p=0.01) y el antecedente familiar de cáncer (X2=5.07; valor p=0.02) estuvieron asociados al cáncer colorrectal; mientras que el consumo de AINES (X2=0.009; valor p=0.924), tipo de dieta ((X2=0.60; valor p=0.44)) y la actividad física (X2=0.46; valor p=0.50) no tuvieron asociación significativa. La regresión logística demostró que la dieta vegetariana (OR=0.05; IC 95%: 0.01; 0.59) y la edad (OR=0.94; IC 95%: 0.89; 0.99) estuvieron asociadas al cáncer colorrectal. CONCLUSIONES: El consumo de la dieta vegetariana sería un factor protector del cáncer colorrectal en la población estudiada.

OBJECTIVE: To determine the relationship between the consumption of a vegetarian diet and colorectal cancer in adults at two hospitals in Lima. MATERIAL AND METHODS: Am analytic case-control study, considering exposition as type of diet and colorectal cancer as the effect, was conducted in Lima, including 142 cases and 143 controls. The cases were adults with colorectal cancer, diagnosed by biopsy, while the control group consisted of adults without colorectal cancer treated at the same hospital, at the same time. Participants responded an instrument that was previously reviewed through a pilot study to evaluate comprehension of the items, and then adjustments were made, with the support of experts. Chisquared was calculated in a bivariate analysis, and a logistic regression model was constructed. RESULTS: The median age was 62 years. The participants were predominantly women, and most had a high school education. The bivariate analysis showed that sex (X2 = 13.01; p value <0.01), educational level (X2 = 11.31; p-value = 0.01), and family history of cancer (X2 = 5.07; p-value = 0.02) were associated with Colorectal cancer; while consumption of NSAIDs (X2 = 0.009; p-value = 0.924), type of diet ((X2 = 0.60; p-value = 0.44)) and physical activity (X2= 0.46; p-value = 0.50) had no significant association. Logistic regression showed that the vegetarian diet was associated with colorectal cancer (OR = 0.05, 95% CI: 0.01, 0.59) and with age (OR = 0.94, 95% CI: 0.89; 0.99). CONCLUSIONS: Vegetarian diet is a protective factor of colorectal cancer in the study population.

[Information system of the national network of public health laboratories in Peru (Netlab)]. / Sistema de información de la red nacional de laboratorios de salud pública en el Perú (Netlab).

Clinical laboratory information systems produce improvements in the quality of information, reduce service costs, and diminish wait times for results, among other things. In the construction process of this information system, the National Institute of Health (NIH) of Peru has developed and implemented a web-based application to communicate to health personnel (laboratory workers, epidemiologists, health strategy managers, physicians, etc.) the results of laboratory tests performed at the Peruvian NIH or in the laboratories of the National Network of Public Health Laboratories which is called NETLAB. This article presents the experience of implementing NETLAB, its current situation, perspectives of its use, and its contribution to the prevention and control of diseases in Peru.