Faculty Opinions recommendation of Small Area Variations in Health Care Delivery: A population-based health information system can guide planning and regulatory decision-making.

Author(s):  
Daniel Strech ◽  
David Klemperer
Author(s):  
Osundina Kayode ◽  
Bola Adegbesan

This study examines “The relevance of Health Information System in Monitoring and Evaluation of Health Care Delivery Services Ife Central Local Government, Ile-Ife. The research design used in this study was descriptive survey to provide necessary database on the relevance of Health Information System in the monitoring and evaluation of health care delivery services in Local Government Primary Health Care System, the researcher uses Ife Central Local Government, Ile-Ife, Osun State. The target population consists of one hundred and twenty (120) respondents (Staff of Primary Health Care Department of Ife Central Local Government, Ile-Ife). Sampling technique adopted for this study is total enumeration, all the staffs of Health Information Management Department were used for the research because the researcher considers these respondents as a genuine unit where all important and detailed information could be obtained for this research work. In the course of data collection exercise, a total of one hundred and twenty questionnaires were administered. The questionnaires were administered at the various units of the Primary Health Care Department of Ife Central Local Government and one hundred and fourteen questionnaires were completed and returned questionnaire which denotes the response rate to be 95% which proved that there is sufficient information from the respondents. From the findings of the study, it was discovered that health information system is effective due to the opinion of majority of the respondents which denotes that health information system contributes to good service delivery in Primary Health Care settings. It was affirmed that there are factors hindering effective management of health information system by the respondents which was supported by 75.5% of them in their response to question 24 of the questionnaire. HIS has benefits on health care monitoring and evaluation which denotes it can be used in policy and decision making. It was also proved according to responses to question 21 of the questionnaire that the duties of the health information officers cannot be overruled and that they play their roles as expected for generation and utilization of health information. It was observed too that health information is being put into use regularly for monitoring and evaluation of health care service by the respondents in question number 20 of the questionnaire. This study reveals that Health Information System has great impact on healthcare service delivery, the system captures, transmits and stores information related to patient care and the activities of the health institution. It incorporates routine information system, disease surveillance system, laboratory information system, hospital patient administrative system which is used to process reports and create awareness in order to make policy action programmes effective for quality monitoring and evaluation activities and the recommendations that were made includes: The provision of sufficient and well trained staff, training and seminar, caution against paucity in information gathering, adequate funding, setting up supervisory committee and computerization of various sections.


2021 ◽  
Author(s):  
Wondwosen Shiferaw Abera ◽  
Brook Abate Halallo ◽  
Ismael Ali Beshir ◽  
Binyam Fekadu Desta ◽  
Mesele Damte Argaw

Abstract Background: Health systems require high-quality data production for health service delivery and program improvement. Ethiopia’s health sector was challenged with lack of quality data from its routine health information system which is an essential element of evidence-based decision making. To overcome this, the Ethiopian Ministry of Health introduced a health information system (HIS) performance monitoring tool named the connected woreda strategy (CWS). This study aims to assess the effectiveness of the CWS to improve culture of information use at primary health care entities. Methods: The study employed a repeated cross-sectional study design through pre and post testing of district health offices using connected woreda assessment tools. A total of 78 districts were enrolled in this study to assess their performance on the implementation of the CWS. The CWS assessment checklist is comprised of 54 questions, all of which were assigned numeric number response types and categorized into HIS capacity (30%), data quality (30%), and administrative data use (40%) and further categorized as districts that meet the highest standards, (>90% of common set of criteria) i.e. ‘model woredas’, districts that meet medium standards, (between 65% to 90% score of common set criteria) i.e. ‘candidate woredas’ and districts that meet lowest standards (<65 of common set of criteria) i.e. ‘emerging woredas’. Finally, the data were analyzed using the SPSS-version 25 software. Results: A total of 78 districts were employed and described and a paired sample t-test was used to measure the performance of districts on CWS implementation. Due to CWS implementation, 10% of districts were ‘models’ in HIS performance; ‘candidate’ districts increased from 40% to 73%; and ‘emerging’ districts decreased from 60% to 17%. Finally, overall CWS scores showed significant improvements after the intervention with 73.4 ± 10.48 SD compared to before intervention 60.4±13.69 SD, with t (77) =-7.18 and p=0.001. Conclusions: This study has revealed that the CWS implementation has a positive effect towards cultural transformation of use of data for decision making at primary health care entities. Thus, scaling up the connected woreda implementation is recommended at the national level to improve the performance of primary health care entities.


Author(s):  
Rakhi Chowdhury ◽  
Leena Kumari ◽  
Subhamay Panda

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.


2014 ◽  
Vol 3 (6) ◽  
pp. 8 ◽  
Author(s):  
Israel R Kabashiki ◽  
Ngozi I Moneke

Background: Health Information and Communication Technology (HICT) has the potential to reduce patient wait time and improves patient satisfaction. The Long wait times for patients to receive medical services are a big issue in Canada. The Canadian government has invested in Information and Communication Technology (ICT) to shorten patient referral wait times for medical services. Little was known about the association between ICT investments and the quality of health care delivery, and particularly between the use of ICT and referral wait times in the Manitoba Health System (MHS). Methods: The purpose of this quantitative correlational study was to determine if a relationship existed between the use of HICT and the quality of health care delivery in the MHS. The quality of health care delivery was measured in terms of referral wait time, health information sharing effectiveness, physicians’ satisfaction, and patients’ satisfaction. Conclusion: Findings indicated the absence of a significant association between HICT use and referral wait times. Significant correlations were found to exist between (1) HICT use and health information sharing effectiveness, (2) HICT use and physician’s satisfaction, and (3) HICT use and patient’s satisfaction. Four recommendations emerged from this study: First, patient satisfaction should be used as an indicator of the quality of health care delivery. Second, health knowledge repository and expert systems should be integrated into health ICT systems to minimize unnecessary referrals. Third, a mixed health system should be implemented to shorten wait times. Fourth, the portability of the Canadian Medicare should be enhanced to allow Manitobans in particular and Canadians in general to seek medical services abroad. This study was intended to contribute to the existing body of knowledge associated with ICT investments’ outcomes and health care delivery in the MHS.  


2020 ◽  
Author(s):  
Moges Asressie Chanyalew ◽  
Mezgebu Yitayal ◽  
Asmamaw Atnafu ◽  
Binyam Tilahun

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.


2011 ◽  
Vol 2 (4) ◽  
pp. 1-28
Author(s):  
Flora S. Tsai

A mobile e-Health information system (MEHIS) aims to speed up the operations of health care in medical centers and hospitals. However, the proper implementation of MEHIS involves integrating many subsystems for MEHIS to be properly executed. A typical MEHIS can consist of many components and subsystems, such as appointments and scheduling; admission, discharge, and transfer (ADT); prescription order entry; dietary planning; and smart card sign-on. This paper describes the development of a MEHIS with open-source Eclipse, using currently available health care standards. The author discusses the issues of building a mobile e-Health information system which can help achieve the goal of ubiquitous and mobile applications for the personalization of e-Health.


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