{"title":"初级卫生保健数据管理实践及其相关因素:埃塞俄比亚西北部卫生推广工作者的案例","authors":"Segenet Yitayew, M. Asemahagn, A. Zeleke","doi":"10.2174/1874431101913010002","DOIUrl":null,"url":null,"abstract":"\n \n Collecting quality and timely healthcare data is crucial to improve health service performance.\n \n \n \n This study aimed at assessing data management practice and associated factors among health extension workers in East Gojjam zone, Northwest Ethiopia.\n \n \n \n An institution based cross-sectional study was conducted in 2014 among 302 health extension workers. Data were collected using a self-administered questionnaire and analyzed using SPSS version 20. The study objectives were described by descriptive statistics, and factors in data management were identified by multivariable logistic regression analysis.\n \n \n \n A total of 302 health extension workers participated in the study. About 47.4% and 53.3% of respondents had good data management knowledge and practice, respectively. Inaccessibility of transportation, communication services, reference materials, and data collection/reporting formats were the mentioned challenges. Workload, data management knowledge, supervision, urban residence, reference materials access and clarity of formats were positively associated with better data management practice (p <0.05).\n \n \n \n Based on this study, the data management practice of health extension workers was low. Factors for low data management practice were organizational and technical related. Addressing knowledge gaps through professional development and improving supportive supervision are crucial to solve the problem.\n","PeriodicalId":88331,"journal":{"name":"The open medical informatics journal","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Primary Healthcare Data Management Practice and Associated Factors: The Case of Health Extension Workers in Northwest Ethiopia\",\"authors\":\"Segenet Yitayew, M. Asemahagn, A. Zeleke\",\"doi\":\"10.2174/1874431101913010002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n Collecting quality and timely healthcare data is crucial to improve health service performance.\\n \\n \\n \\n This study aimed at assessing data management practice and associated factors among health extension workers in East Gojjam zone, Northwest Ethiopia.\\n \\n \\n \\n An institution based cross-sectional study was conducted in 2014 among 302 health extension workers. Data were collected using a self-administered questionnaire and analyzed using SPSS version 20. The study objectives were described by descriptive statistics, and factors in data management were identified by multivariable logistic regression analysis.\\n \\n \\n \\n A total of 302 health extension workers participated in the study. About 47.4% and 53.3% of respondents had good data management knowledge and practice, respectively. Inaccessibility of transportation, communication services, reference materials, and data collection/reporting formats were the mentioned challenges. Workload, data management knowledge, supervision, urban residence, reference materials access and clarity of formats were positively associated with better data management practice (p <0.05).\\n \\n \\n \\n Based on this study, the data management practice of health extension workers was low. Factors for low data management practice were organizational and technical related. Addressing knowledge gaps through professional development and improving supportive supervision are crucial to solve the problem.\\n\",\"PeriodicalId\":88331,\"journal\":{\"name\":\"The open medical informatics journal\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The open medical informatics journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874431101913010002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The open medical informatics journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874431101913010002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
收集高质量和及时的医疗保健数据对于提高医疗服务绩效至关重要。本研究旨在评估埃塞俄比亚西北部东Gojjam地区卫生推广工作者的数据管理实践和相关因素。2014年对302名卫生推广工作者进行了基于机构的横断面研究。采用自填问卷收集数据,并使用SPSS version 20进行分析。采用描述性统计方法描述研究目标,采用多变量logistic回归分析确定影响数据管理的因素。共有302名卫生推广工作者参与了这项研究。有良好数据管理知识和实践的受访者分别占47.4%和53.3%。所提到的挑战包括交通、通讯服务、参考资料和数据收集/报告格式的缺乏。工作量、数据管理知识、监管、城市居住、参考资料获取和格式清晰度与更好的数据管理实践呈正相关(p <0.05)。基于本研究,健康推广工作者的数据管理实践程度较低。低数据管理实践的因素与组织和技术有关。通过专业发展弥补知识差距和改善支持性监督是解决问题的关键。
Primary Healthcare Data Management Practice and Associated Factors: The Case of Health Extension Workers in Northwest Ethiopia
Collecting quality and timely healthcare data is crucial to improve health service performance.
This study aimed at assessing data management practice and associated factors among health extension workers in East Gojjam zone, Northwest Ethiopia.
An institution based cross-sectional study was conducted in 2014 among 302 health extension workers. Data were collected using a self-administered questionnaire and analyzed using SPSS version 20. The study objectives were described by descriptive statistics, and factors in data management were identified by multivariable logistic regression analysis.
A total of 302 health extension workers participated in the study. About 47.4% and 53.3% of respondents had good data management knowledge and practice, respectively. Inaccessibility of transportation, communication services, reference materials, and data collection/reporting formats were the mentioned challenges. Workload, data management knowledge, supervision, urban residence, reference materials access and clarity of formats were positively associated with better data management practice (p <0.05).
Based on this study, the data management practice of health extension workers was low. Factors for low data management practice were organizational and technical related. Addressing knowledge gaps through professional development and improving supportive supervision are crucial to solve the problem.