scholarly journals Evaluation of health information system in reproductive and child health program at primary health center level: a system analysis

2016 ◽  
Vol 4 (1) ◽  
pp. 15
Author(s):  
Deepa L. N. ◽  
Gopinath D.
Keyword(s):  
Decision Making ◽  
Information System ◽  
Child Health ◽  
Health Information ◽  
System Analysis ◽  
Health Information System ◽  
Current Status ◽  
Urban District ◽  
Reproductive And Child Health ◽  
And Child Health

Background: Primary aim of health information system is, using it in decision-making. Not many systematic studies on actual status of health information system are available.  So this study was undertaken to evaluate the current status of Health Information System (HIS) at the primary level in relation to selective components of Reproductive and Child Health (RCH) Programme and to determine its utilization for identification of problem and decision making at that level.Methods:Cross sectional study done in Bangalore Urban District. HIS was analyzed for completeness, timeliness and utilization. Monthly reports of previous 3 months from PHCs were looked for completeness and timeliness.  Utilization of information was assessed by interviewing the medical officers of 4 PHCs for actions they intend to take for modifying the performance; prior to and also after providing them with analyzed information of the available data (customization of data). Both these were compared for differences and specificity of responses. For customization of the data, sub center reports were reviewed and few beneficiaries were interviewed.Results: 85% of the reporting formats were incompletely filled. It was observed an increase in number of medical officers giving more specific actions such as review in monthly meeting, ask explanation by specific sub-center health worker for not giving follow up care to improve the performance than the responses which were more general prior to receiving the customized data. It shows that MOs are not utilizing the available health information for identification of problem or to make decisions.Conclusions:This study showed that medical officers are signing the monthly reports prepared by health workers, without actually using the information at least to identify the problem as it was seen that coverage in one sub-centre was consistently low for all the three months but didn’t focus their actions towards that sub center.  

scholarly journals THE ROLE OF HEALTH INFORMATION SYSTEM IN MATERNAL AND CHILD HEALTHCARE SERVICES

2017 ◽  
Vol 10 (6) ◽  
pp. 29
Author(s):  
Rakhi Chowdhury ◽  
Leena Kumari ◽  
Subhamay Panda
Keyword(s):  
Health Care ◽  
Information System ◽  
Child Health ◽  
Health Information ◽  
Maternal And Child Health ◽  
Health Information System ◽  
Health Care Sector ◽  
Related Information ◽  
Health Related ◽  
And Child Health

Health information system deals with any system that helps in capturing, storing, transmitting, and managing health-related information of an individual or to demonstrate the activities or organizations working within health-care sector. In the developing countries, maternal and child health is gaining concern due to increasing cases of morbidity and mortality. The disparities among the maternal, infant, and child health are a growing concern in India and are governed by various determinants such as socioeconomic status, literacy, quality of health care, discrimination, and biological and genetic factors. Accurate and reliable health information and data are the basis for decision-making across the health-care sector and are crucial for the development and implementation of health system policy by the policy-makers. Strict monitoring and evaluation of the present program design and its implementation is required at the microlevel to effectively utilize the resources for the improvement of maternal and child health. Our present article focuses on evaluating the coverage gap at the different levels for the provision of health-care facilities to maternal, neonatal, and child health, immunization, and treatment of poor children. Big data plays a major role in providing sound and reliable health-related information and also help in managing and recording structured and unstructured data. More concrete plans are required further to reduce the inequalities in health-care interventions for providing better maternal and child health-care services in our nation.

scholarly journals Indicators of Organizational Support in Implementing Maternal and Child Health Information System

2016 ◽  
Vol 5 (3) ◽  
pp. 280
Author(s):  
Heru Santoso Wahito Nugroho ◽  
Stefanus Supriyanto ◽  
Hari Basuki Notobroto
Keyword(s):  
Information System ◽  
Child Health ◽  
Health Information ◽  
Maternal And Child Health ◽  
Organizational Support ◽  
Health Information System ◽  
Supervisor Support ◽  
Quality Data ◽  
Work Condition ◽  
And Child Health

<p style="color: #000000; font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 10px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">Nowadays, the implementation of health informtion system in Indonesia still encounters a number of obstacles e.g. redundant data, activities duplication, data quality, data not in harmony with the necessities, report not submitted on time, unoptimized feedback, low information utilization, and inefficient resources. This research aimed to analyze the indicators of organizational support which were suspected as one of the obstacles of the implementation of Maternal and Child Health Information System in Health Office of Ngawi Regency. The population of this cross sectional research was all village midwives administratively in duty in the areas of Ngawi Regency in 2015. Data was taken from all member of populaton through questionnaire filling, which was then analyzed by using confirmatory factor analysis (CFA). The result of data analysis suggested that the coefficient value that has been standardized from each indicators were as follows: supervisor support = 0.82, work condition = 0.80, and reard = 0.90. Indicators of organizational support<br />in implementing Maternal and Child Health Information System at Ngawi Regency Health Office, respectively from the most important are: reward, supervisor support, and work condition.</p>

scholarly journals Indicators of Organizational Support in Implementing Maternal and Child Health Information System

2016 ◽  
Vol 5 (3) ◽  
pp. 280
Author(s):  
Heru Santoso Wahito Nugroho ◽  
Stefanus Supriyanto ◽  
Hari Basuki Notobroto
Keyword(s):  
Information System ◽  
Child Health ◽  
Health Information ◽  
Maternal And Child Health ◽  
Organizational Support ◽  
Health Information System ◽  
Supervisor Support ◽  
Quality Data ◽  
Work Condition ◽  
And Child Health

<p style="color: #000000; font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 10px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">Nowadays, the implementation of health informtion system in Indonesia still encounters a number of obstacles e.g. redundant data, activities duplication, data quality, data not in harmony with the necessities, report not submitted on time, unoptimized feedback, low information utilization, and inefficient resources. This research aimed to analyze the indicators of organizational support which were suspected as one of the obstacles of the implementation of Maternal and Child Health Information System in Health Office of Ngawi Regency. The population of this cross sectional research was all village midwives administratively in duty in the areas of Ngawi Regency in 2015. Data was taken from all member of populaton through questionnaire filling, which was then analyzed by using confirmatory factor analysis (CFA). The result of data analysis suggested that the coefficient value that has been standardized from each indicators were as follows: supervisor support = 0.82, work condition = 0.80, and reard = 0.90. Indicators of organizational supportin implementing Maternal and Child Health Information System at Ngawi Regency Health Office, respectively from the most important are: reward, supervisor support, and work condition.</p>

scholarly journals Routine Health Information System Utilization for Evidence-Based Decision Making in Amhara National Regional State, Northwest Ethiopia: a multi-level analysis.

2020 ◽  
Author(s):  
Moges Asressie Chanyalew ◽  
Mezgebu Yitayal ◽  
Asmamaw Atnafu ◽  
Binyam Tilahun
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Performance Monitoring ◽  
Health Information System ◽  
Evidence Based ◽  
Department Heads ◽  
Target Setting ◽  
Work Location ◽  
And Performance

Abstract Background: Health Information System (HIS) is the key to making evidence-based decisions. Ethiopia has been implementing the Health Management Information System (HMIS) since 2008 to collect routine health data and revised it in 2017. However, the evidence is meager on the use of routine health information for decision making among department heads in the health facilities. The study aimed to assess the proportion of routine health information systems utilization for evidence-based decisions and factors associated with it. Method: A cross-sectional study was carried out among 386 department heads from 83 health facilities in ten selected districts in the Amhara region Northwest of Ethiopia from April to May 2019. The study participants were selected using a simple random sampling technique. Descriptive statistics mean and percentage were calculated. The study employed a generalized linear mixed-effect model. Adjusted Odds Ratio (AOR) and the 95% CI were calculated. Variables with p-value <0.05 were considered as predictors of routine health information system use. Result: Proportion of information use among department heads for decision making was estimated at 46%. Displaying demographic (AOR= 12.42, 95% CI: [5.52, 27.98]) and performance (AOR= 1.68; 95% CI: [1.33, 2.11]) data for monitoring, and providing feedback to HMIS unit (AOR= 2.29; 95% CI: [1.05, 5.00]) were individual (level-1) predictors. Maintaining performance monitoring team minute (AOR= 3.53; 95% CI: [1.61, 7.75]), receiving senior management directives (AOR= 3.56; 95% CI: [1.76, 7.19]), supervision (AOR= 2.84; 95% CI: [1.33, 6.07]), using HMIS data for target setting (AOR= 3.43; 95% CI: [1.66, 7.09]), and work location (AOR= 0.16; 95% CI: [0.07, 0.39]) were organizational (level-2) explanatory variables. Conclusion: The proportion of routine health information utilization for decision making was low. Displaying demographic and performance data, providing feedback to HMIS unit, maintaining performance monitoring team minute, conducting supervision, using HMIS data for target setting, and work location were factors associated with the use of routine health information for decision making. Therefore, strengthening the capacity of department heads on data displaying, supervision, feedback mechanisms, and engagement of senior management are highly recommended.

scholarly journals The development of a comprehensive maternal–child health information system for Nunavut-Nutaqqavut (Our Children)

2011 ◽  
Vol 70 (4) ◽  
pp. 363-372 ◽  
Author(s):  
Samantha Lauson ◽  
Sarah McIntosh ◽  
Natan Obed ◽  
Gwen Healey ◽  
Sirisha Asuri ◽  
...  
Keyword(s):  
Information System ◽  
Child Health ◽  
Health Information ◽  
Health Information System ◽  
Maternal Child Health ◽  
Maternal Child

scholarly journals Routine Health Information System in the Health Facilities in Yaoundé-Cameroon: Assessing the Gaps for Strengthening

2020 ◽  
Author(s):  
Brian Bongwong Tamfon ◽  
Chanceline Bilounga Ndongo ◽  
Serge Marcial Bataliack ◽  
Marie Nicole Ngoufack ◽  
Georges Nguefack-Tsague
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Information Dissemination ◽  
Health Sector ◽  
Health Information System ◽  
Health Facilities ◽  
World Health ◽  
Quality Data ◽  
Health Related

Abstract Background: Management of health data and its use for informed decision making is a challenging health sector aspect in developing countries. Monitoring and evaluation of health interventions for meeting health-related Sustainable Development Goals (SDGs), and Cameroon Health Sector Strategy (HSS) targets is facilitated through evidence-based decision-making and public health action. Thus, a Routine Health Information System (RHIS) producing quality data is imperative. The objective of this study was to assess the RHIS in the health facilities (HFs) in Yaoundé in order to identify gaps and weaknesses and to propose measures for strengthening. Methods: A health facility-based cross-sectional descriptive study was carried out in the six health districts (HDs) of Yaoundé; followed by a qualitative aspect consisting of in-depth interviews of key informants at the Regional Health Office. HFs were selected using a stratified sampling method with probability proportional to the size of each HD. Data were collected (one respondent per HF) using the World Health Organization (WHO) and MEASURE Evaluation RHIS rapid assessment tool. Data were entered into Microsoft Excel 2013 and analyzed with IBM-SPSS version 20. Results: A total of 111 HFs were selected for the study. Respondents aged 24-60 years with an average of 38.3±9.3 years; 58 (52.3%) male and 53(47.7%) female. Heads of HFs and persons in charge of statistics/data management were most represented with 45.0% and 21.6% respectively. All the twelve subdomains of the RHIS were adequately functioning at between 7% and 30%. These included Human Resources (7%), Data Analysis (10%), Information and Communication Technology (11%), Standards and System Design (15%), Policies and Planning (15%), Information Dissemination (16%), Data Demand and Use (16%), Management (18%), Data Needs (18%), Data Quality Assurance (20%), Collection and Management of Individual Client Data (26%), Collection, Management, and Reporting of Aggregated Facility Data (30%). Conclusions: The level of functioning of subdomains of the RHIS in Yaoundé was low; thus, immediate and district-specific strengthening actions should be implemented if health-related SDGs and HSS targets are to be met. A nation-wide assessment should be carried out in order to understand the determinants of these poor performances and to strengthen the RHIS.

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