Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 20 de 2.628
Filter
1.
BMC Oral Health ; 22(1): 131, 2022 04 19.
Article in English | MEDLINE | ID: mdl-35439988

ABSTRACT

BACKGROUND: Over the past 50 years, dental informatics has developed significantly in the field of health information systems. Accordingly, several studies have been conducted on standardized clinical coding systems, data capture, and clinical data reuse in dentistry. METHODS: Based on the definition of health information systems, the literature search was divided into three specific sub-searches: "standardized clinical coding systems," "data capture," and "reuse of routine patient care data." PubMed and Web of Science were searched for peer-reviewed articles. The review was conducted following the PRISMA-ScR protocol. RESULTS: A total of 44 articles were identified for inclusion in the review. Of these, 15 were related to "standardized clinical coding systems," 15 to "data capture," and 14 to "reuse of routine patient care data." Articles related to standardized clinical coding systems focused on the design and/or development of proposed systems, on their evaluation and validation, on their adoption in academic settings, and on user perception. Articles related to data capture addressed the issue of data completeness, evaluated user interfaces and workflow integration, and proposed technical solutions. Finally, articles related to reuse of routine patient care data focused on clinical decision support systems centered on patient care, institutional or population-based health monitoring support systems, and clinical research. CONCLUSIONS: While the development of health information systems, and especially standardized clinical coding systems, has led to significant progress in research and quality measures, most reviewed articles were published in the US. Clinical decision support systems that reuse EDR data have been little studied. Likewise, few studies have examined the working environment of dental practitioners or the pedagogical value of using health information systems in dentistry.


Subject(s)
Health Information Systems , Dental Informatics , Dentists , Humans , Professional Role
2.
Article in English | MEDLINE | ID: mdl-35457674

ABSTRACT

BACKGROUND: Monitoring and reporting mental health is complex. Australia's first National Mental Health Strategy in 1992 included a new national commitment to accountability and data collection in mental health. This article provides a narrative review of thirty years of experience. MATERIALS AND METHODS: This review considers key documents, policies, plans and strategies in relation to the evolution of mental health data and reporting. Documents produced by the Federal and the eight state and territory governments are considered, as well as publications produced by key information agencies, statutory authorities and others. A review of this literature demonstrates both its abundance and limitations. RESULTS: Australia's approach to mental health reporting is characterised by duplication and a lack of clarity. The data available fail to do justice to the mental health services provided in Australia. Mental health data collection and reporting processes are centrally driven, top-down and activity-focused, largely eschewing actual health outcomes, the social determinants of mental health. There is little, if any, link to clearly identifiable service user or carer priorities. Consequently, it is difficult to link this process longitudinally to clinical or systemic quality improvement. Initial links between the focus of national reform efforts and mental health data collection were evident, but these links have weakened over time. Changes to governance and reporting, including under COVID, have made the task of delivering accountability for mental health more difficult. CONCLUSION: Australia's current approach is not fit for purpose. It is at a pivotal point in mental health reform, with new capacity to use modelled data to simulate prospective mental health reform options. By drawing on these new techniques and learning the lessons of the past, Australia (and other nations) can design and implement more effective systems of planning, reporting and accountability for mental health.


Subject(s)
COVID-19 , Health Information Systems , Mental Health Services , Health Care Reform , Health Policy , Humans , Prospective Studies
3.
Cad Saude Publica ; 38(4): e00101721, 2022.
Article in Portuguese | MEDLINE | ID: mdl-35442260

ABSTRACT

This descriptive study aimed to discuss the repercussions of the change in the methodology for recording the color/race variable in the Brazilian Information System on Live Births (SINASC) on infant mortality rates (IMR) according to color/race in Brazil. Annual variations were analyzed in the rates of live births and infant deaths according to color/race from 2009 to 2017. The IMR according to color/race were estimated using three strategies: (1) direct method; (2) for every year, setting the same proportions of live births by color/race as observed in 2009; and (3) for every year, setting the same proportions of deaths by color/race as observed in 2009. The strategies aimed to explore the single effect of the variations in the proportions of live births or of deaths according to color/race on the estimated IMR before and after the change in the color/race variable in the SINASC database. Between 2011 and 2012 (the year of the change in the color/race variable in SINASC), there was a sudden increase in birthdates with black, brown, and indigenous color/race, along with a reduction in birthdates with white color/race, without no corresponding variations in deaths. The increase of more socially vulnerable color/race categories in the IMR denominator resulted in the attenuation of IMR for black and indigenous infants and in an increase in the IMR for white infants and consequently an artificial reduction in iniquities in infant mortality according to color/race. The change in the color/race variable in SINASC interrupted the historical series of live births by color/race, affecting indicators that potentially depend on these data for their calculation, in this case the IMR. The resulting argument is that infant mortality rates by color/race before versus after the change in the SINASC database are distinct and noncomparable indicators.


Trata-se de estudo descritivo que teve como objetivo discutir as repercussões da mudança na metodologia de coleta da variável cor/raça no Sistema de Informações sobre Nascidos Vivos (SINASC) sobre as taxas de mortalidade infantil (TMI) segundo cor/raça no Brasil. Foram analisadas as variações anuais nas frequências de nascidos vivos e óbitos infantis por cor/raça entre 2009 e 2017. As TMI por cor/raça foram estimadas segundo três estratégias: (1) método direto; (2) fixando-se, em todos os anos, as proporções de nascidos vivos por cor/raça observadas em 2009; e (3) fixando-se, em todos os anos, as proporções de óbitos por cor/raça observadas em 2009. As estratégias visaram explorar o efeito isolado das variações nas proporções de nascidos vivos ou de óbitos por cor/raça sobre as estimativas de TMI antes e após a mudança da variável cor/raça no SINASC. De 2011 para 2012 (ano de mudança da variável cor/raça no SINASC), verificou-se súbito incremento das Declarações de Nascidos Vivos (DNV) de cor/raça preta, parda e indígena, acompanhado de redução de DNV de cor/raça branca, sem variações correspondentes nos óbitos. O incremento do denominador da TMI das categorias de cor/raça socialmente mais vulnerabilizadas resultou na atenuação das TMI de pretos e indígenas, no incremento da TMI de brancos e, consequentemente, na redução artificial das iniquidades na mortalidade infantil por cor/raça. A mudança da variável cor/raça no SINASC interrompeu a série histórica de nascidos vivos por cor/raça, afetando os indicadores que potencialmente dependem desses dados para seu cálculo, como a TMI. Argumenta-se que as TMI por cor/raça antes e após a mudança no SINASC são indicadores distintos e não comparáveis.


Estudio descriptivo que tuvo como objetivo discutir las repercusiones del cambio en la metodología de recogida de la variable color/raza en el Sistema de Información sobre Nacidos Vivos (SINASC) sobre las tasas de mortalidad infantil (TMI), según color/raza en Brasil. Se analizaron las variaciones anuales en las frecuencias de nacidos vivos y óbitos infantiles por color/raza entre 2009 y 2017. Las TMI por color/raza se estimaron según tres estrategias: (1) método directo; (2) fijándose, en todos los años, las proporciones de nacidos vivos por color/raza observadas en 2009; y (3) fijándose, en todos los años, las proporciones de óbitos por color/raza observadas en 2009. Las estrategias tuvieron como objetivo explorar el efecto aislado de las variaciones en las proporciones de nacidos vivos o de óbitos por color/raza sobre las estimaciones de TMI antes y tras el cambio de la variable color/raza en el SINASC. De 2011 a 2012 (año de cambio de la variable color/raza en el SINASC), se verificó un súbito incremento de las Declaraciones de Nacidos Vivos (DNV) de color/raza negra, mestiza e indígena, acompañado de una reducción de DNV de color/raza blanca, sin variaciones correspondientes en los óbitos. El incremento del denominador de la TMI de las categorías de color/raza socialmente más vulnerabilizadas resultó en la atenuación de las TMI de negros e indígenas y en el incremento de la TMI de blancos y, consecuentemente, en la reducción artificial de las inequidades en la mortalidad infantil por color/raza. El cambio de la variable color/raza en el SINASC interrumpió la serie histórica de nacidos vivos por color/raza, afectando los indicadores que potencialmente dependen de esos datos para su cálculo, como la TMI. Se argumenta que las TMI por color/raza antes y después del cambio en el SINASC son indicadores distintos y no comparables.


Subject(s)
Health Information Systems , Brazil/epidemiology , Female , Humans , Infant , Infant Mortality , Information Systems , Live Birth/epidemiology , Pregnancy
4.
PLoS One ; 17(4): e0267240, 2022.
Article in English | MEDLINE | ID: mdl-35452478

ABSTRACT

OBJECTIVE: The Stress Management and Resilience Training (SMART) program is an evidence-based intervention designed to build resilience in physicians in clinical practice. The objective of the current study was to assess the impact of the SMART program on academic physicians' levels of resilience, subjective happiness, stress, and anxiety, and specifically during the implementation of a new hospital-wide Health Information System (HIS). METHODS: A total of 40 physicians in a tertiary care academic hospital were randomized (allocation ratio 1:1) to either the SMART intervention or the control condition. The SMART intervention consisted of one mandatory two-hour in-person workshop and an optional 24-week online program, designed to support the materials delivered in the workshop. Outcome measures were assessed using validated scales administered online at baseline and at 3-months and 6-months follow-up. RESULTS: After adjusting for baseline levels of each outcome, no statistically significant intervention effect was observed for resilience, subjective happiness, stress or anxiety at 3-months or 6-months follow-up. However, physicians in the intervention group demonstrated improvements in resilience, stress and anxiety at follow-up that were within the range of clinically relevant differences. CONCLUSIONS: The findings of this exploratory study provide modest support that the SMART intervention may be beneficial for proactively addressing physician wellness during the implementation of a new HIS and that larger randomized trials are warranted. TRIAL REGISTRATION: NCT04384861.


Subject(s)
Health Information Systems , Physicians , Resilience, Psychological , Anxiety/prevention & control , Happiness , Humans
5.
PLoS One ; 17(4): e0266667, 2022.
Article in English | MEDLINE | ID: mdl-35395040

ABSTRACT

INTRODUCTION: Information on laboratory test availability and current testing scope among general hospitals in Kenya is not readily available. We sought to explore the reporting trends and test availability within clinical laboratories in Kenya over a 24-months period through analysis of the laboratory data reported in the District Health Information System (DHIS2). METHODS: Monthly hospital laboratory testing data were extracted from the Kenyan DHIS2 between January 2018 and December 2019. We used the national laboratory testing summary tool (MoH 706) to identify the tests of interest among 204 general hospitals in Kenya. A local practitioner panel consisting of individuals with laboratory expertise was used to classify the tests as common and uncommon. We compared the tests on the MoH 706 template with the Essential Diagnostic List (EDL) of the World Health Organisation and further reclassified them into test categories based on the EDL for generalisability of our findings. Evaluation of the number of monthly test types reported in each facility and the largest number of tests ever reported in any of the 24 months were used to assess test availability and testing scope, respectively. RESULTS: Out of the 204 general hospitals assessed, 179 (179/204) reported at least one of the 80 tests of interest in any of the 24 months. Only 41% (74/179) of the reporting hospitals submitted all their monthly DHIS2 laboratory reports for the entire 24 months. The median testing capacity across the hospitals was 40% with a wide variation in testing scope from one hospital laboratory to another (% IQR: 33.8-51.9). Testing scope was inconsistent within facilities as indicated by often large monthly fluctuations in the total number of recommended and EDL tests reported. Tests of anatomical pathology and cancer were the least reported with 4 counties' hospitals not reporting any cancer or anatomical pathology tests for the entire 24 months. CONCLUSION: The current reporting of laboratory testing information in DHIS2 is poor. Monitoring access and utilisation of laboratory testing across the country would require significant improvements in consistency and coverage of routine laboratory test reporting in DHIS2. Nonetheless, the available data suggest unequal and intermittent population access to laboratory testing provided by general hospitals in Kenya.


Subject(s)
Health Information Systems , Hospitals, General , Diagnostic Services , Humans , Kenya/epidemiology , Laboratories
6.
BMJ Open ; 12(4): e052479, 2022 Apr 05.
Article in English | MEDLINE | ID: mdl-35383058

ABSTRACT

OBJECTIVE: The study aimed to assess health management information utilisation and associated factors among health professionals working at public health facilities in North Wollo Zone, Northeast Ethiopia. SETTING: The study was conducted at public health facilities in the North Wollo Zone, Northeast Ethiopia. PARTICIPANTS: A total of 664 (56.3% male and 43.7% female) health professionals participated in the study. All health professionals permanently working in North Wollo Zone were included in this study. However, health professionals who were not present during the data collection period by any means and who had less than 6 months of experience were not included in this study. PRIMARY AND SECONDARY OUTCOME MEASURES: The main outcome measure was health management information utilisation. RESULT: About 58.4% (n=388) (95% CI: 54.4% to 62.0%) of the study participants use health management information. The multivariable logistic regression model indicated that participants who had managerial positions are more likely to use health management information with an adjusted OR (AOR) of 3.11 and 95% CI 1.84 to 5.24. Similarly, having a good motivation level (AOR=4.42 (95% CI: 2.82 to 6.93)), perceived good culture of health information (AOR=6.17 (95% CI: 3.35 to 11.36)), a standard set of indicators (AOR=4.11 (95% CI: 2.65 to 6.38)), having good governance of health information system (AOR=1.75 (95% CI:1.13 to 2.72)) and health management information system (HMIS) training (AOR=3.10 (95% CI: 1.89 to 5.07)) were the predictors positively associated with higher utilisation of health management information. CONCLUSION: This study revealed that utilisation of health management information was still inadequate. Enhancing motivation, building a culture of information use, having standardised indicators, strengthening the governance of health information systems and comprehensive HMIS training were measures to be taken to improve utilisation of health management information in this study setting.


Subject(s)
Health Facilities , Health Information Systems , Cross-Sectional Studies , Ethiopia , Female , Health Personnel , Humans , Male
7.
J Med Internet Res ; 24(3): e26577, 2022 03 08.
Article in English | MEDLINE | ID: mdl-35258469

ABSTRACT

BACKGROUND: Evaluating health information system (HIS) quality is strategically advantageous for improving the quality of patient care. Nevertheless, few systematic studies have reported what methods, such as standards, processes, and tools, were proposed to evaluate HIS quality. OBJECTIVE: This study aimed to identify and discuss the existing literature that describes standards, processes, and tools used to evaluate HIS quality. METHODS: We conducted a systematic literature review using review guidelines focused on software and systems. We examined seven electronic databases-Scopus, ACM (Association for Computing Machinery), ScienceDirect, Google Scholar, IEEE Xplore, Web of Science, and PubMed-to search for and select primary studies. RESULTS: Out of 782 papers, we identified 17 (2.2%) primary studies. We found that most of the primary studies addressed quality evaluation from a management perspective. On the other hand, there was little explicit and pragmatic evidence on the processes and tools that allowed for the evaluation of HIS quality. CONCLUSIONS: To promote quality evaluation of HISs, it is necessary to define mechanisms and methods that operationalize the standards in HISs. Additionally, it is necessary to create metrics that measure the quality of the most critical components and processes of HISs.


Subject(s)
Health Information Systems , Humans , Publications
8.
Caja de herramientas de transformación digitalOPS/EIH/IS/21-030.
Monography in Spanish | PAHO-IRIS | ID: phr-55882

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas técnicas de esta serie tiene como objetivo ofrecer documentos que faciliten una adecuada aplicación de políticas, recomendaciones, marcos de gobernanza de los datos, marcos de monitoreo y evaluación, análisis y otras herramientas de evaluación rápida de los sistemas de información para la salud de los países.


Subject(s)
Data Management , Information Systems , Health Information Systems , Health Communication
9.
Caja de herramientas de transformación digitalOPS/EIH/IS/21-032.
Monography in Spanish | PAHO-IRIS | ID: phr-55881

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas técnicas de esta serie tiene como objetivo ofrecer documentos que faciliten una adecuada aplicación de políticas, recomendaciones, marcos de gobernanza de los datos, marcos de monitoreo y evaluación, análisis y otras herramientas de evaluación rápida de los sistemas de información para la salud de los países.


Subject(s)
Health Information Systems , Information Systems , Evidence-Based Medicine , Evidence-Informed Policy , Information Technology , Information Management , Knowledge Management , Big Data , Data Science
10.
Caja de herramientas de transformación digitalOPS/EIH/IS/21-031.
Monography in Spanish | PAHO-IRIS | ID: phr-55880

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas técnicas de esta serie tiene como objetivo ofrecer documentos que faciliten una adecuada aplicación de políticas, recomendaciones, marcos de gobernanza de los datos, marcos de monitoreo y evaluación, análisis y otras herramientas de evaluación rápida de los sistemas de información para la salud de los países.


Subject(s)
Health Information Systems , Information Systems , Knowledge Management , Health Communication , Data Science , Decision Making , Evidence-Informed Policy , Terminology
11.
Caja de herramientas de transformación digitalOPS/EIH/IS/21-034.
Monography in Spanish | PAHO-IRIS | ID: phr-55879

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas técnicas de esta serie tiene como objetivo ofrecer documentos que faciliten una adecuada aplicación de políticas, recomendaciones, marcos de gobernanza de los datos, marcos de monitoreo y evaluación, análisis y otras herramientas de evaluación rápida de los sistemas de información para la salud de los países.


Subject(s)
Health Information Systems , Information Systems , Data Analysis
12.
Caja de herramientas de transformación digitalOPS/EIH/IS/21-041.
Monography in Spanish | PAHO-IRIS | ID: phr-55878

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas técnicas de esta serie tiene como objetivo ofrecer documentos que faciliten una adecuada aplicación de políticas, recomendaciones, marcos de gobernanza de los datos, marcos de monitoreo y evaluación, análisis y otras herramientas de evaluación rápida de los sistemas de información para la salud de los países.


Subject(s)
Health Information Systems , Information Systems , Data Management , Data Science , Knowledge Management for Health Research
13.
Caja de herramientas de transformación digitalOPS/EIH/IS/ddt-tt4/21-028.
Monography in Spanish | PAHO-IRIS | ID: phr-55877

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas técnicas de esta serie tiene como objetivo ofrecer documentos que faciliten una adecuada aplicación de políticas, recomendaciones, marcos de gobernanza de los datos, marcos de monitoreo y evaluación, análisis y otras herramientas de evaluación rápida de los sistemas de información para la salud de los países.


Subject(s)
Health Information Systems , Information Systems , Health Communication , Decision Making , Equity in Access to Health Services
14.
Caja de herramientas de transformación digitalOPS/EIH/IS/21-029.
Monography in Spanish | PAHO-IRIS | ID: phr-55876

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas técnicas de esta serie tiene como objetivo ofrecer documentos que faciliten una adecuada aplicación de políticas, recomendaciones, marcos de gobernanza de los datos, marcos de monitoreo y evaluación, análisis y otras herramientas de evaluación rápida de los sistemas de información para la salud de los países.


Subject(s)
Knowledge Management , Health Information Systems , Information Systems , Health Communication
15.
Caja de herramientas de transformación digitalOPS/EIH/IS/dtt7/22-0008.
Monography in Spanish | PAHO-IRIS | ID: phr-55789

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas gerenciales dentro de la caja de herramientas de transformación digital, proporciona materiales de apoyo para la construcción de grupos técnicos, estrategias, guías de planeación, características y roles de los recursos humanos, además de términos de referencia para conducir las actividades relacionadas al fortalecimiento de los sistemas de información para la salud en la Región.


Subject(s)
Telemedicine , Information Technology , Health Information Systems , Americas
16.
Caja de herramientas de transformación digitalOPS/EIH/IS/dtt5/22-0006.
Monography in Spanish | PAHO-IRIS | ID: phr-55788

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas gerenciales dentro de la caja de herramientas de transformación digital proporciona materiales de apoyo para la construcción de grupos técnicos, estrategias, guías de planeación, características y roles de los recursos humanos, además de términos de referencia para conducir las actividades relacionadas al fortalecimiento de los sistemas de información para la salud en la Región.


Subject(s)
Telemedicine , Information Technology , Health Information Systems , Americas
17.
Caja de herramientas de transformación digitalOPS/EIH/IS/dtt4/22-0005.
Monography in Spanish | PAHO-IRIS | ID: phr-55787

ABSTRACT

La caja de herramientas de transformación digital fue creada con el objetivo de ofrecer recursos gerenciales, técnicos, de conocimiento, de comunicación y académicos a todos aquellos profesionales de la salud, tomadores de decisiones e instituciones dedicadas al fortalecimiento de los sistemas de información para la salud, con miras a alcanzar el acceso universal a la salud y la cobertura universal de salud en la Región de las Américas, mediante el acceso a datos de buena calidad, información estratégica y herramientas de salud digital para la toma de decisiones y el bienestar. La categoría de herramientas gerenciales dentro de la caja de herramientas de transformación digital, proporciona materiales de apoyo para la construcción de grupos técnicos, estrategias, guías de planeación, características y roles de los recursos humanos, además de términos de referencia para conducir las actividades relacionadas al fortalecimiento de los sistemas de información para la salud en la Región.


Subject(s)
Telemedicine , Information Technology , Health Information Systems , Americas
18.
Washington, D.C.; OPS; 2022-03-01.
Non-conventional in Spanish | PAHO-IRIS | ID: phr-55785

ABSTRACT

El Atlas Nacional de Equidad en Salud Sostenible: Colombia (ANESS) es un ejercicio novedoso de análisis de la situación de salud (ASIS) que, rescatando la noción de territorio, descansa en los dos pilares siguientes: equidad y salud sostenible. El primer pilar —equidad— alude al estado de ausencia de desigualdades injustas en las oportunidades para la salud de las personas y los colectivos humanos debidas a circunstancias histórica y socialmente determinadas. El segundo pilar —desarrollo sostenible— hace referencia explícita a la visión política de la salud en el marco de los Objetivos de Desarrollo Sostenible, que destaca tanto la universalidad en el acceso a la salud y la cobertura de salud como la equidad social en la salud en calidad de metas progresivas en favor del desarrollo humano. El ANESS operativa estos dos pilares explorando analíticamente la distribución intermunicipal de un conjunto de indicadores de salud en etapas clave del curso de la vida a lo largo del gradiente social definido por el nivel de desarrollo sostenible de cada municipio. Este análisis se agrega a nivel departamental, regional y nacional con el objetivo de identificar los territorios que exhiben una mejor situación de salud y son fuente de buenas prácticas y aquellos en los que es necesario priorizar la atención de la salud y redoblar la acción sobre sus determinantes para efectivamente no dejar a nadie atrás en el camino hacia el desarrollo sostenible. El ANESS tiene cuatro características distintivas que lo hacen un ASIS de última generación, a saber: 1) hace explícita la primacía del principio de equidad y la pone en práctica; 2) apuesta por el uso analítico de los datos administrativos y la triangulación interinstitucional de fuentes de datos; 3) intenta extraer patrones de desigualdad para fundamentar políticas e intervenciones, y 4) pone énfasis en el territorio como unidad de análisis, de gestión, de intervención y de cambio positivo. En definitiva, el atlas apuesta por la preeminencia de la acción transformadora desde el nivel municipal. Como todo atlas, el ANESS privilegia la visualización gráfica y analítica de sus resultados. Los usuarios podrán consultar contenidos visuales intuitivos, atractivos y esclarecedores, y se espera que movilice a la acción por la equidad en la salud.


Subject(s)
Social Determinants of Health , Health Information Systems , Health Equity , Health Status Indicators , Diagnosis of Health Situation , Sustainable Development , Colombia
19.
Epidemiol Prev ; 46(1-2): 92-99, 2022.
Article in Italian | MEDLINE | ID: mdl-35354272

ABSTRACT

BACKGROUND: Health Information Systems (HIS) play a strategic role in the development of community healthcare services, a field still underdeveloped in Italy as shown by the COVID-19 pandemic, and their use for epidemiological purposes is increasing over the years. However, some general critical issues have been reported concerning national community health information systems, but no detailed study was found after a non-systematic review in Medline database and institutional websites. OBJECTIVES: to assess uniformity and comparability of health information collected by the national health information Systems for Home Care (SIAD), Nursing Homes (FAR), and Hospices (HOS) in Italy, three healthcare settings sharing patients with common conditions and healthcare needs. METHODS: information was gathered from current Technical Regulations Papers of the Italian Health Ministry. All variables of the three Information Systems were ordered on the basis of the characteristics provided by the ministerial documents into a single grouping model created for the purpose and their distribution compared among and between the Systems. According to the grouping model, the variables were divided in two main groups: System Variables for administrative, bill, and identification-personal data and the Pathway Variables for patient's conditions and provided healthcare data. Common information content variables among all systems and between two of them were then identified, highlighting those with also identical terminology and allowed values. On the basis of the percentages of common and identical variables, uniformity in content and terminology was then calculated among all systems and between two of them. Besides, levels of content and terminology agreement have been calculated with Cohen's K matching the three Systems in all possible combinations of pairs. RESULTS: there are 70 variables in SIAD, 45 variables in FAR, and 34 in HOS. System variables are nearly the half in FAR and HOS, 22 (48.9%) and 17 (50.0%) variables, respectively. Pathway variables are prevalent only in SIAD, with 55 variables (78.6%). Only SIAD and HOS use ICD-9-CM, with 2 (2.8%) and 9 (26.5%) variables, respectively. The three Systems share 18 common variables, with other 16 common between just two of them. Considering the common variables, the total number of variables used by all the Systems is 97, with 23 System variables (23.7%) and 74 Pathway variables (76.3%). Overall, content uniformity among the three Systems is 18.5%, but becomes 60.9% considering only the System variables and 5.4% for the Pathway variables, with respectively 14 and 4 common variables. Among the common variables, 11 have the same denomination and allowed values, with an overall terminological uniformity of 11.3%. Being all of them System variables, no terminological uniformity has been found among the three Systems.The level of content agreement was fair for the couple FAR-HOS (K Cohen 0.26), but null for HOS-SIAD and SIAD-FAR (K Cohen -0.20 and <0.01). Null was also the level of terminological agreement in all the possible pairs of matched systems (K Cohen all negative). CONCLUSIONS: content and terminology uniformity of National Health Information Systems in Italy for Home Care, Nursing Homes, and Hospices has been found to be poor, with little reference to standardised classification systems and a scarce level of comparability of the information gathered in the three healthcare settings, although similarity in patients' characteristics and provided health services. Data comparability among them is mainly limited to administrative and identification-personal information, with little possibility of comparing information on patients' conditions and provided healthcare in the three settings. This scarce uniformity might undermine the contribution of national Health Information Systems in the development of community healthcare services in Italy and limit the potential of epidemiological research in this area. Also in the light of the establishment of new national Health Information Systems for Primary Care and Community Hospitals, a methodological reassessment of languages, codes, and evaluation tools used by community health services and information systems is needed.


Subject(s)
COVID-19 , Health Information Systems , Home Care Services , Hospices , Nursing Care , COVID-19/epidemiology , Humans , Italy , Nursing Homes , Pandemics
20.
BMC Med Inform Decis Mak ; 22(1): 64, 2022 03 11.
Article in English | MEDLINE | ID: mdl-35277163

ABSTRACT

BACKGROUND: Monitoring progress using appropriate data, with a functional health information system (HIS), believed to be very crucial for success of immunization program. Baseline study was conducted to assess, immunization service coverage, HIS performance status, and their relationships. METHODS: A linked facility and population-based survey was conducted concurrently from September 21 to October 15, 2020. A total of 3016 households were reached to interview mothers having children aged 12-23 months in the 33 woredas. Overall 81 health posts, 71 health centers, and 15 hospitals were selected for the facility survey. The study used modified Performance of Routine Information System Management (PRISM) tools for the facility survey and a structured questionnaire for the household survey. Using STATA 14.0 software, mixed effect modeling was employed to control the effect of clustering and potential confounders. RESULTS: The proportion of fully immunized children was 58%. Coverages of measles (at least one dose) and penta3 immunization (received all 3 doses of DPT-HepB-Hib vaccine) were 86%, and 85% respectively. About 27% of mothers had missed their child immunization card mainly due to misplacing or lost. Except 'source document completeness' (85%) and 'use of data for planning and target setting' (84%), other data quality and use indicators like 'data accuracy' (63%), 'data use for performance review and evidence-based decision making' (50%), and 'data use to produce analytical reports' (31%) show low performance. The odds of fully immunized children is 37% lower in Muslims compared with Orthodox Christians (AOR, 0.63; 95%CI: 0.46, 0.88), higher by 42% with father's secondary education compared with no education (AOR, 1.42; 95%CI: 1.05, 1.92), and highest wealth quintile compared with lowest quintile (AOR, 2.49; 95%CI: 1.54, 4.03). For each additional score of HIS infrastructure availability, the odds of fully immunized children increased by 22% (AOR:1.22; 95% CI: 1.03, 1.44). CONCLUSIONS: Child immunization coverages are promising However, the current HIS performance is suboptimal. Both service user and HIS related factors are important for immunization service uptake. Documenting required information and advising mothers to keep immunization cards by health workers, and working to have functional HIS are recommended.


Subject(s)
Health Information Systems , Child , Ethiopia , Female , Humans , Immunization , Immunization Programs , Infant , Vaccination , Vaccination Coverage
SELECTION OF CITATIONS
SEARCH DETAIL
...