This study evaluates the extent to which COVID-19 vaccination affects population mental health. Exploiting the within-state and within-survey week variation in the number fully vaccinated per 10 million people, I uncover the favorable effects of vaccination on individuals’ psychological well-being. Particularly, a 100% increase in the number fully vaccinated per 10 million people makes individuals 0.24, 0.23, 0.12, and 0.14 percentage points less likely to experience anxiety, worry, displeasure, and depression on a daily basis, respectively. The probability of having at least one of the four symptoms (anxiety, worry, displeasure, and depression) every day also reduces by 0.27 percentage points. The study calls for the expansion of vaccine coverage, especially for disproportionately affected communities.
{"title":"The Psychological Benefits of COVID-19 Vaccination","authors":"My Nguyen","doi":"10.1155/2021/1718800","DOIUrl":"https://doi.org/10.1155/2021/1718800","url":null,"abstract":"This study evaluates the extent to which COVID-19 vaccination affects population mental health. Exploiting the within-state and within-survey week variation in the number fully vaccinated per 10 million people, I uncover the favorable effects of vaccination on individuals’ psychological well-being. Particularly, a 100% increase in the number fully vaccinated per 10 million people makes individuals 0.24, 0.23, 0.12, and 0.14 percentage points less likely to experience anxiety, worry, displeasure, and depression on a daily basis, respectively. The probability of having at least one of the four symptoms (anxiety, worry, displeasure, and depression) every day also reduces by 0.27 percentage points. The study calls for the expansion of vaccine coverage, especially for disproportionately affected communities.","PeriodicalId":30619,"journal":{"name":"Advances in Public Health","volume":"2 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78629540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background. Different studies presented negating findings of the association between intestinal parasite infections (IPIs) and undernutrition among early adolescents in Ethiopia. This study was aimed at assessing intestinal parasite infection and its association with undernutrition among early adolescents in four selected districts of the Sidama region. Method. An institution-based cross-sectional study was conducted in October 2020 among 792 early adolescents. The multistage stage sampling was applied to select 16 primary schools. Simple random sampling was applied to select study participants. Trained data collectors administered questionnaires. Stool samples were collected and analyzed. Anthropometric measurements were taken and indices were calculated using AnthroPlus software. Data were entered into and analyzed by SPSS version 25 software. Association between IPI and undernutrition was measured using multivariable analysis. The outputs are presented using an adjusted odds ratio (AOR) with 95% confidence intervals (CIs). Result. The prevalence of IPI, thinness, and stunting was 32% (95% CI: 28.7%, 35.3%), 17.5% (95% CI: 14.8%, 20.2%), and 21.5% (95 CI: 18.6%, 24.4%), respectively. The higher odds of IPIs were observed among adolescents stunted (AOR = 3.61; 95% CI: 2.44–5.33), those who are thin (AOR = 3.07; 95% CI: 2.02–4.66), those who did not wash their hands after toilet (AOR = 1.89; 95% CI: 1.35–2.66), those who ate raw meat (AOR = 1.50; 95% CI: 1.03–2.14), and those whose family did not own toilet (AOR = 1.71; 95% CI: 1.18–2.46). Conclusion. The prevalence of IPI, thinness, and stunting was high and has public health significance in the study area. IPIs were associated with stunting, thinness, lack of toilets, not washing hands after a toilet visit, and eating raw meat. Strengthening nutrition interventions, deworming programs, and health education on personal and environmental hygiene and sanitation are recommended.
{"title":"Intestinal Parasite Infection and Its Association with Undernutrition among Early Adolescents in Hawassa University Technology Village, Southern Ethiopia","authors":"Amelo Bolka Gujo, Assefa Philipos Kare, Shambel Gussa Shuramo","doi":"10.1155/2021/3937948","DOIUrl":"https://doi.org/10.1155/2021/3937948","url":null,"abstract":"Background. Different studies presented negating findings of the association between intestinal parasite infections (IPIs) and undernutrition among early adolescents in Ethiopia. This study was aimed at assessing intestinal parasite infection and its association with undernutrition among early adolescents in four selected districts of the Sidama region. Method. An institution-based cross-sectional study was conducted in October 2020 among 792 early adolescents. The multistage stage sampling was applied to select 16 primary schools. Simple random sampling was applied to select study participants. Trained data collectors administered questionnaires. Stool samples were collected and analyzed. Anthropometric measurements were taken and indices were calculated using AnthroPlus software. Data were entered into and analyzed by SPSS version 25 software. Association between IPI and undernutrition was measured using multivariable analysis. The outputs are presented using an adjusted odds ratio (AOR) with 95% confidence intervals (CIs). Result. The prevalence of IPI, thinness, and stunting was 32% (95% CI: 28.7%, 35.3%), 17.5% (95% CI: 14.8%, 20.2%), and 21.5% (95 CI: 18.6%, 24.4%), respectively. The higher odds of IPIs were observed among adolescents stunted (AOR = 3.61; 95% CI: 2.44–5.33), those who are thin (AOR = 3.07; 95% CI: 2.02–4.66), those who did not wash their hands after toilet (AOR = 1.89; 95% CI: 1.35–2.66), those who ate raw meat (AOR = 1.50; 95% CI: 1.03–2.14), and those whose family did not own toilet (AOR = 1.71; 95% CI: 1.18–2.46). Conclusion. The prevalence of IPI, thinness, and stunting was high and has public health significance in the study area. IPIs were associated with stunting, thinness, lack of toilets, not washing hands after a toilet visit, and eating raw meat. Strengthening nutrition interventions, deworming programs, and health education on personal and environmental hygiene and sanitation are recommended.","PeriodicalId":30619,"journal":{"name":"Advances in Public Health","volume":"41 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84889515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. O. Boadu, Judith Obiri-Yeboah, Kwame Adu Okyere Boadu, Nathan Kumasenu Mensah, Grace Amoh-Agyei
Background. Routine health information system (RHIS) quality assurance has become an important issue, not only because of its significance in promoting high standard of patient care, but also because of its impact on government budgets for the maintenance of health services. Routine health information system comprises healthcare data collection, compilation, storage, analysis, report generation, and dissemination on routine basis at the various healthcare settings. The data from RHIS give a representation of health status, health services, and health resources. The sources of RHIS data are normally individual health records, records of services delivered, and records of health resources. Using reliable information from routine health information systems is fundamental in the healthcare delivery system. Quality assurance practices are measures that are put in places to ensure the health data that are collected meet required quality standards. Routine health information system quality assurance practices ensure that data that are generated from the system are fit for use. This study considered quality assurance practices in the RHIS processes. Methods. A cross-sectional study was conducted in eight health facilities in Tarkwa Submunicipal health service in the western region of Ghana. The study involved routine quality assurance practices among the 90-health staff and management selected from facilities in Tarkwa Submunicipal who collect or use data routinely from 24th December, 2019, to 20th January, 2020. Results. Generally, Tarkwa Submunicipal health service appears to practice quality assurance during data collection, compilation, storage, analysis, and dissemination. The results show some achievement in quality control performance in report dissemination (77.6%), data analysis (68.0%), data compilation (67.4%), report compilation (66.3%), data storage (66.3%), and collection (61.1%). Conclusions. Even though Tarkwa Submunicipal health directorate engages some control measures to ensure data quality, there is the need to strengthen the process to achieve the targeted percentage of performance (90.0%). There was significant shortfall in quality assurance practices performance especially during data collection, with respect to the expected performance.
{"title":"Assessment of RHIS Quality Assurance Practices in Tarkwa Submunicipal Health Directorate, Ghana","authors":"R. O. Boadu, Judith Obiri-Yeboah, Kwame Adu Okyere Boadu, Nathan Kumasenu Mensah, Grace Amoh-Agyei","doi":"10.1155/2021/5561943","DOIUrl":"https://doi.org/10.1155/2021/5561943","url":null,"abstract":"Background. Routine health information system (RHIS) quality assurance has become an important issue, not only because of its significance in promoting high standard of patient care, but also because of its impact on government budgets for the maintenance of health services. Routine health information system comprises healthcare data collection, compilation, storage, analysis, report generation, and dissemination on routine basis at the various healthcare settings. The data from RHIS give a representation of health status, health services, and health resources. The sources of RHIS data are normally individual health records, records of services delivered, and records of health resources. Using reliable information from routine health information systems is fundamental in the healthcare delivery system. Quality assurance practices are measures that are put in places to ensure the health data that are collected meet required quality standards. Routine health information system quality assurance practices ensure that data that are generated from the system are fit for use. This study considered quality assurance practices in the RHIS processes. Methods. A cross-sectional study was conducted in eight health facilities in Tarkwa Submunicipal health service in the western region of Ghana. The study involved routine quality assurance practices among the 90-health staff and management selected from facilities in Tarkwa Submunicipal who collect or use data routinely from 24th December, 2019, to 20th January, 2020. Results. Generally, Tarkwa Submunicipal health service appears to practice quality assurance during data collection, compilation, storage, analysis, and dissemination. The results show some achievement in quality control performance in report dissemination (77.6%), data analysis (68.0%), data compilation (67.4%), report compilation (66.3%), data storage (66.3%), and collection (61.1%). Conclusions. Even though Tarkwa Submunicipal health directorate engages some control measures to ensure data quality, there is the need to strengthen the process to achieve the targeted percentage of performance (90.0%). There was significant shortfall in quality assurance practices performance especially during data collection, with respect to the expected performance.","PeriodicalId":30619,"journal":{"name":"Advances in Public Health","volume":"32 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91078873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dhally M. Menda, Mukumbuta Nawa, Rosemary K. Zimba, Catherine M. Mulikita, Jim Mwandia, Henry Mwaba, Karen Sichinga
Background. Malaria remains a significant public health problem, especially in resource-poor settings. We aimed to forecast the year 2021 monthly confirmed malaria cases in the northwestern province of Zambia. Methods. The total number of confirmed monthly malaria cases recorded at health facilities over the past 7-years period (January 2014 to December 2020) was taken from the District Health Information System version 2 (DHIS.2) database. Box–Jenkins autoregressive integrated moving average (ARIMA) was used to forecast monthly confirmed malaria cases for 2021. STATA software version 16 was used for analyzing the time series data. Results. Between 2014 and 2020, there were 3,795,541 confirmed malaria cases in the northwestern province with a monthly mean of 45,185 cases. ARIMA (2, 1, 2) (0, 1, 1)12 was the best fit and the most parsimonious model. The forecasted mean monthly confirmed malaria cases were 60,284 (95%CI 30,969–121,944), and the total forecasted confirmed malaria cases were 723,413 (95%CI 371,626–1,463,322) for the year 2021. Conclusion. The forecasted confirmed malaria cases suggest that there will be an increase in the number of confirmed malaria cases for the year 2021 in the northwestern province. Therefore, there is a need for concerted efforts to prevent and eliminate the disease if the goal to eliminate malaria in Zambia by 2030 is to be realized.
{"title":"Forecasting Confirmed Malaria Cases in Northwestern Province of Zambia: A Time Series Analysis Using 2014–2020 Routine Data","authors":"Dhally M. Menda, Mukumbuta Nawa, Rosemary K. Zimba, Catherine M. Mulikita, Jim Mwandia, Henry Mwaba, Karen Sichinga","doi":"10.1155/2021/6522352","DOIUrl":"https://doi.org/10.1155/2021/6522352","url":null,"abstract":"Background. Malaria remains a significant public health problem, especially in resource-poor settings. We aimed to forecast the year 2021 monthly confirmed malaria cases in the northwestern province of Zambia. Methods. The total number of confirmed monthly malaria cases recorded at health facilities over the past 7-years period (January 2014 to December 2020) was taken from the District Health Information System version 2 (DHIS.2) database. Box–Jenkins autoregressive integrated moving average (ARIMA) was used to forecast monthly confirmed malaria cases for 2021. STATA software version 16 was used for analyzing the time series data. Results. Between 2014 and 2020, there were 3,795,541 confirmed malaria cases in the northwestern province with a monthly mean of 45,185 cases. ARIMA (2, 1, 2) (0, 1, 1)12 was the best fit and the most parsimonious model. The forecasted mean monthly confirmed malaria cases were 60,284 (95%CI 30,969–121,944), and the total forecasted confirmed malaria cases were 723,413 (95%CI 371,626–1,463,322) for the year 2021. Conclusion. The forecasted confirmed malaria cases suggest that there will be an increase in the number of confirmed malaria cases for the year 2021 in the northwestern province. Therefore, there is a need for concerted efforts to prevent and eliminate the disease if the goal to eliminate malaria in Zambia by 2030 is to be realized.","PeriodicalId":30619,"journal":{"name":"Advances in Public Health","volume":"522 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86887015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Begum, Sanzana Fareen Rivu, Md. Ziauddin Iqbal, Nuzhat Tabassum, Nurnahar, Md Elias Uddin, Md. Marufur Rahman Moni, Md. Mahmud Al Hasan, M. Rahman
Model pharmacy has been adopted recently to upgrade the healthcare delivery system in Bangladesh. This study was aimed to analyze and compare the effectiveness of drug dispensing patterns, practices, and knowledge of both clients and dispensers of model pharmacies over traditional retail medicine shops. Two established methods, namely, client simulated method (CSM) and provider interview method (PIM), were employed to determine the practice differences in 90 retail medicine shops and 90 model pharmacies in and around Dhaka city. The results are represented primarily in comparison with corresponding percentages. The survey results did not fully support the findings obtained from the observations of the CSM as PIM contrasted these to some extent, and the differences are statistically significant ( p <