Evaluation of logistics management information system and availability of non-program tracer drugs in public health facilities in Bahir Dar City, Northwest Ethiopia.

The logistics management information system (LMIS) plays a crucial role in effective record-keeping and reporting, ensuring efficient management of stock status and consumption data. A proficient LMIS improves accountability and supports informed logistic decisions in healthcare. Conversely, a subpar LMIS negatively affects essential medicine availability, compromising overall healthcare service efficiency. This study aimed to evaluate the status of the logistics management information system and the availability of non-program tracer drugs (NPTDs) in public health facilities within Bahir Dar City. This study employed an institutional-based cross-sectional study. Data were collected from February 20 to April 30, 2022 in 12 public health facilities located in Bahir Dar City. Structured questionnaire and data abstraction formats were used to gather pertinent data. After checking for completeness, the data were analyzed using Microsoft Excel and SPSS version 23. The primary analytical outcomes involved descriptive statistics, encompassing frequencies, averages, and percentages, which were subsequently presented in tables and figures. Bin card and Internal Facility Report and Resupply Form were the only blank LMIS tools available in all health facilities, while stock-record card was the least available, present in only 2(16.7%) facilities. Nine health facilities (75%) used self-prepared forms to request NPTDs from the Ethiopian Pharmaceutical Supply Agency (EPSA) at the end of the review period, whereas 7(58.3%) used official letters for emergency orders. Additionally, seven health facilities (58.3%) used the Health Commodities Management Information System On the day of the visit, 78.68% of NPTDs were available. Tetracycline eye ointment 1% had the longest stock-out duration, lasting for a mean 69.64 days. Rather than using the RRF, most of facilities opted for their own forms to request NPTDs from EPSA. While it is advisable for all health facilities to maintain continuous availability of tracer drugs, this study revealed that the current state of non-program tracer drug availability falls short of meeting this expectation.

Assessing intersectional gender analysis in Nepal's health management information system: a case study on tuberculosis for inclusive health systems.

BACKGROUND: Tuberculosis (TB) remains a major public health problem in Nepal, high in settings marked by prevalent gender and social inequities. Various social stratifiers intersect, either privileging or oppressing individuals based on their characteristics and contexts, thereby increasing risks, vulnerabilities and marganilisation associated with TB. This study aimed to assess the inclusiveness of gender and other social stratifiers in key health related national policies and the Health Management Information System (HMIS) of National Tuberculosis Programme (NTP) by conducting an intersectional analysis of TB cases recorded via HMIS. METHODS: A desk review of key policies and the NTP's HMIS was conducted. Retrospective intersectional analysis utilized two secondary data sources: annual NTP report (2017-2021) and records of 628 TB cases via HMIS 6.5 from two TB centres (2017/18-2018/19). Chi-square test and multi-variate analysis was used to assess the association between social stratifers and types of TB, registration category and treatment outcome. RESULTS: Gender, social inclusion and concept of intersectionality are incorporated into various health policies and strategies but lack effective implementation. NTP has initiated the collection of age, sex, ethnicity and location data since 2014/15 through the HMIS. However, only age and sex disaggregated data are routinely reported, leaving recorded social stratifiers of TB patients static without analysis and dissemination. Furthermore, findings from the intersectional analysis using TB secondary data, showed that male more than 25 years exhibited higher odds [adjusted odds ratio (aOR) = 4.95, 95% confidence interval (CI): 1.60-19.06, P = 0.01)] of successful outcome compared to male TB patients less than 25 years. Similarly, sex was significantly associated with types of TB (P < 0.05) whereas both age (P < 0.05) and sex (P < 0.05) were significantly associated with patient registration category (old/new cases). CONCLUSIONS: The results highlight inadequacy in the availability of social stratifiers in the routine HMIS. This limitation hampers the NTP's ability to conduct intersectional analyses, crucial for unveiling the roles of other social determinants of TB. Such limitation underscores the need for more disaggregated data in routine NTP to better inform policies and plans contributing to the development of a more responsive and equitable TB programme and effectively addressing disparities.

Evaluation of Emergency Contraceptive Pill Use with Health Management Information Systems Data in Pakistan.

According to the WHO, all clients should have access to a range of contraceptive methods, including at least one short-term, one long-term, one permanent, and one emergency method of contraception. While there are data on the contraceptive method mix available for many low- and middle-income countries, there are limited data on emergency contraception (EC). This is likely due to some surveys not routinely collecting this information, how survey questions are asked, dual method use, and/or low levels of reported use of EC pill (ECP). Even with low reported use in surveys, contraceptive social marketing statistics from DKT International. show a trend in recent years of increasing product sales of ECPs. To understand a more complete scope of ECP use, we use Pakistan as a case study and analyze Pakistan's Demographic Health Survey (DHS) surveys and Pakistan's Contraceptives Logistics Management Systems. Based on commodities dispensed data for ECPs in 2021, about 0.4 percent of all married women in Pakistan use ECPs. While there is currently a small proportion of women, it is growing and the use of ECPs is not zero as indicated by the DHS. Therefore, where available, countries should review their health management information systems data alongside survey data for ECP use.

A political economy analysis of strengthening health information system in Tanzania.

BACKGROUND: Many countries' health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of accessible and quality health services. However, in some countries such efforts and initiatives have led to a complex HMIS ecosystem characterized by multiple and fragmented sub-systems. We undertook an in-depth analysis of the HMIS ecosystem in Tanzania to inform the ongoing initiatives, by understanding the relationship and power differences among stakeholders, as well as drivers and barriers to HMIS investment and strengthening. METHODOLOGY: This was a qualitative research method incorporating data collection through document review and key informant interviews guided by political economy analytical framework. A total of 17 key informant interviews were conducted between April and May 2022. A thematic content analysis was used during data analysis. RESULTS: Good relationship between the government and stakeholders dealing/supporting HMIS ecosystem was noted as there are technical working groups which brings stakeholders together to discuss and harmonize HMIS activities. The 'need for the data' has been the driving force toward investment in the HMIS ecosystem. The analysis showed that the government is the main stakeholder within the HMIS ecosystem and responsible for identifying the needs for improvement and has the power to approve or reject systems which are not in line with the government priority as stipulated with the HMIS investment roadmap/strategy. Moreover, partners with long relationship are powerful in influencing HMIS investment decision-making compared to those who are recently coming to support. It was further noted shortage of staff with technical competence, inadequate financial resources, and the development of fact that some of the existing systems have not been developed to their full capacity and have hindered the whole systems' integration and interoperability exercise of ensuring integration and interoperability of the systems. CONCLUSION: A need-based assessment of staff capacity at the sub-national level is equally important to identify available capabilities and the knowledge gap to strengthen the HMIS ecosystem. Strong coordination of the ideas and resources intended to strengthen the HMIS ecosystem would help to reduce fragmentation. In addition, there is a need to mobilize resources within and outside the country to facilitate the integration and interoperability process smoothly.

Construction and Application of Chain Management Information System for Cancer Pain.

BACKGROUND: With the rapid development of information technology, hospital information systems (HISs) have been deeply applied in the medical field and have shown broad application prospects. There are still some noninteroperable clinical information systems that pose an obstacle to the effective coordination of care, such as cancer pain management. AIM: To construct a chain management information system for cancer pain and explore its clinical application effect. METHODS: A quasiexperimental study was conducted in the inpatient department of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. A total of 259 patients were nonrandomly divided into two groups: the experimental group (after the system was applied, n = 123) and the control group (before the system was applied, n = 136). The cancer pain management evaluation form score, patient satisfaction with pain control, pain score at admission and discharge, and the worst pain score during hospitalization were compared between the two groups. RESULTS: Compared with the control group, the score of the cancer pain management evaluation form was significantly higher (p < .05). There were no statistically significant differences in worst pain intensity, pain score at admission and discharge, and patients' satisfaction with pain control between the two groups. CONCLUSIONS: The cancer pain chain management information system can enable nurses to evaluate and record pain in a more standardized way, but it has no significant effect on the pain intensity of cancer patients.

The Quality of Logistics Management Information System and the Availability of Tracer Drugs at Health Posts in Rural Ethiopia: A Mixed-Method Study.

Background: Proper implementation of the logistics management information system (LMIS) would facilitate access to essential pharmaceutical products. It also prevents wastage at health posts. The aim of this study was to assess the implementation of the LMIS and the availability of tracer drugs at health posts in rural Ethiopia. Methods: We employed a cross-sectional descriptive design with a mixed-method approach. The data used for this paper was collected from March to May 2019 as part of the National HEP assessment. The study involved 343 health posts randomly selected from nine regions of Ethiopia. Women's Development Army members and household heads participated in the qualitative study (i.e. in FGD and KII). The quantitative data were exported from Open Data Kit (ODK) to Stata 15.1 for statistical analysis, and the qualitative data were entered into NVivo 12 and analyzed using thematic content analysis. Results: Of the health posts, 59.4% had a space for storing drugs; less than half (41.9%; 95% confidence interval (CI) [36%, 48%]) had a functioning refrigerator. The mean percentage of the availability of selected tracer drugs at health posts was 59.6%, with a 95% CI (58.9%, 60.3%). Bin cards were available at 43% (95% CI [40%, 46%]) of health posts, and among these, only 27.5% of the health posts adequately used the bin cards. Conclusion: The absence and poor use of LMIS tools was observed at health posts. Proper implementation of the LMIS has the potential to improve the availability of essential drugs that, in turn, improve health post level delivery of health services.

Evaluation of the Homeless Management Information System for COVID-19 Surveillance Among People Experiencing Homelessness.

BACKGROUND: Variable and incomplete reporting of housing status creates challenges in the surveillance of coronavirus disease 2019 (COVID-19) among the homeless population in Los Angeles County (LA County) and nationwide. METHODS: We developed standard investigation procedures to assess the housing status of LA County COVID-19 patients. Using data sharing procedures, we matched COVID-19 patients to Homeless Management Information System (HMIS) client profiles and supplemented with additional data sources for contributory data points and to further housing status ascertainment. RESULTS: We identified 10 586 COVID-19 patients among people experiencing homelessness (PEH) between 30 March 2020 and 30 December 2021; 2801 (26.5%) patients were first identified from HMIS profile matches, 1877 (17.7%) from quarantine/isolation housing intake rosters, 573 (5.4%) from hospital records, 749 (7.1%) from case and contact interviews, 3659 (34.6%) directly from PEH medical and service providers, and 927 (8.8%) had unknown sources. Among COVID-19 patients matched to HMIS profiles, 5351 (42.5%) were confirmed to be PEH at the time of COVID-19 diagnosis. CONCLUSIONS: Interoperability between public health data, HMIS, and external partners have been critical components in evaluating the impact of COVID-19 among the LA County homeless population. No one data source was complete for COVID-19 surveillance in this population.

Development Strategy of College Sports Information Management System Using Data Mining in Mobile Internet Environment.

A strong basis has been set for the digitization of school management by the growth of big data and the Internet. However, there is not specialised software that can be used in schools to handle teaching materials and carry out teaching activities, particularly in school physical education. Most teachers struggle with significant information management issues in the conventional college sports management information system. Along with people's interest in physical education in colleges and universities, the study of the college sports management information system's development plan has emerged as the primary research area in the present day. The use of data mining in the development strategy of the sports management information system was therefore considered in conjunction with the actual situation of school sports information management. The experiment also introduced and provided a detailed explanation of the algorithm used in data mining. To fully explore the system strategy's development impact was the specific goal. In order to realise the management function of the sports management information system, serve the information management of each school, increase information management efficiency by 6.58%, and improve user satisfaction; data mining was introduced into the development strategy of management information system through the discovery of experimental data.

Optimizing the Health Management Information System in Uttar Pradesh, India: Implementation Insights and Key Learnings.

An effective health management information system (HMIS) that captures accurate, consistent, and relevant data in a timely fashion can enable better planning and monitoring of health programs and improved service delivery, in turn helping increase the impact of different interventions. In 2009, the Government of Uttar Pradesh (GOUP) implemented HMIS, India's national-level health information platform. However, key challenges, including difficulties in accessing the data through a web-based portal and its limited relevance to decision making and managerial needs, reduced its usability at the district and state levels. In 2015, with the support of the Uttar Pradesh Technical Support Unit, the GOUP created its own data platform, the Uttar Pradesh HMIS (UP-HMIS), to capture data elements missing from HMIS but important to UP decision makers. The UP-HMIS was redesigned to capture these data elements to holistically measure and monitor the performance of health programs and inform decision making at the district and state levels. In addition, the GOUP implemented complementary initiatives to improve data quality and data use processes. To improve HMIS data quality, the GOUP established data validation committee meetings at the block, district, and state levels. To promote the use of these validated data, in 2017, the GOUP developed and implemented the UP Health Dashboard, which ranks each of UP's 75 districts on a set of key HMIS priority health indicators. These policy guidelines have brought greater attention to UP-HMIS data quality and use; however, additional strengthening is required to improve the quality and use of HMIS data. There is a need to increase the overall capacity and understanding of HMIS data, not only for staff with specific data-related responsibilities but also for program managers and senior decision makers.

Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 2021.

BACKGROUND: Poor quality routine data contributes to poor decision-making, inefficient resource allocation, loss of confidence in the health system, and may threaten the validity of impact evaluations. For several reasons in most developing countries, the routine health information systems in those countries are described as ineffective. Hence, the aim of this study is to determine the quality of data and associated factors in the routine health management information system in health centers of Shashogo district, Hadiya Zone. METHODS: A facility-based cross-sectional study was conducted from June 1, 2021, to July 1, 2021, and 300 participants were involved in the study through simple random sampling. The data was collected with a self-administered questionnaire by trained data collectors. After checking its completeness, the data was entered into EPI data version 3.1 and exported to SPSS version 25 for statistical analysis. Finally, variables with p < 0.05 during multivariable analysis were considered significant variables. RESULT: A total of 300(100%) participant were included in the interview and HMIS data quality was 83% in Shashogo district health centers. The data quality in terms of accuracy, completeness, and timeliness was 79%, 86%, and 84%, respectively. Conducting supportive supervision [AOR 3.5 (1.4, 8.9)], checking accuracy [AOR 1.3 (1.5, 3.5)], filling registrations [AOR 2.7 (1.44, 7.7)], and confidence level [AOR 1.9 (1.55, 3.35)] were all rated positively found to be factors associated with data quality. CONCLUSION: The overall level of data quality in Shashogo district health centers was found to be below the national expectation level. All dimensions of data quality in the district were below 90% in data accuracy, content completeness, and timeliness of data. Conducting supportive supervision, checking accuracy, filling registrations and confidence level were found to be factors associated with data quality. Hence, all stakeholders should give all necessary support to improve data quality in routine health information systems to truly attain the goal of providing good quality data for the decision-making process by considering the identified factors.

Tourism Information Management System Using Neural Networks Driven by Particle Swarm Model.

Based on the concept of "smart tourism," this paper designs and implements a tourism management information system based on PSO-optimized NN. The foreground tourism web page of the system adopts DIV + CSS mode for page planning and layout, PHP as the client script language, and SQL server as the database to store and analyze user information. At the same time, the system adds personalized components to the user's search ranking results, so that the routes and scenic spots presented in front of users in the result interface are more in line with users' consumption habits. In order to verify the performance of the model and algorithm constructed in this paper, several experiments were carried out in this paper. Experimental results show that the prediction accuracy of this algorithm is 94.67% and the recall rate is 96.11%. This algorithm can overcome the disadvantages of traditional algorithms and provide some effective suggestions for tourism management. At the same time, this paper applies the concept of "smart tourism" to specific tourism informatization, which can promote the transformation and upgrading of tourism industry structure and further enhance the overall development level of tourism industry.

Cluster Modeling of Environmental and Occupational Health and Safety Management Systems for Integration Support.

Many organizations around the world recognize the complementarity of public and environmental health and focus their attention on the effective management of both health and environmental risks. For this purpose, they often use the international standards ISO 14001 and ISO 45001. However, when a company intends to implement multiple standards simultaneously, the challenge of overlapping increases. Therefore, the objective of article is to analyze the requirements and documented information of two management system standards: environmental management systems (EMS), according to ISO 14001, and occupational health and safety management systems (OH&S), according to ISO 45001. A combination of content analysis and clustering methods was used to conduct the research. Visualization of the interrelationships between the requirements of the standards was done using TouchGraph Navigator. The outputs of the analysis can serve managers in the integrated implementation of these management systems as well as auditors during the review and check process when formulating recommendations for the improvement of management systems. Integrated implementation comes with multiple benefits, including reduced bureaucracy and management costs, a simplified certification process, improved internal management, and facilitation of continuous improvement.

Factors associated with HIV viral suppression among children and adults receiving antiretroviral therapy in Malawi in 2021: Evidence from the Laboratory Management Information System.

OBJECTIVE: To describe the prevalence of HIV viral suppression and assess the factors associated with HIV viral suppression among persons receiving antiretroviral therapy (ART) in Malawi in 2021. METHODS: Implementation study using routinely collected patient-level HIV RNA-PCR test result data extracted from the national Laboratory Management Information System (LIMS) database managed by the Department of HIV/AIDS in 2021. We calculated frequencies, proportions and odds ratios (OR) of HIV viral suppression with their associated 95% confidence intervals (95%CIs). We performed a random-effects logistic regression to determine the risk factors associated with HIV viral suppression among ART patients, controlling for the spatial autocorrelation between districts and adjusting for other variables. RESULTS: We evaluated 515,797 adults and children receiving ART and having a viral load test in 2021. Of these, 92.8% had HIV viral suppression. ART patients living in urban areas had lower likelihood of HIV viral suppression than those living in rural areas (adjusted OR [aOR] = 0.95, 95%CI: 0.92-0.99, p = 0.01). There was an increasing trend in HIV viral suppression with increasing ART duration. Routine VL monitoring samples were 39% more likely to have suppressed VL values than confirmatory HIV VL monitoring samples (aOR = 1.39; 95%CI: 1.34-1.43, p < 0.001). CONCLUSION: This is the first national analysis of Malawi HIV VL data from LIMS. Our findings show the need to particularly consider the urban residents, those below 20 years, males, those on ART for less than a year as well as those on specific ARV regimens in order to persistently suppress HIV VL and consequently achieve the goal of achieving HIV VL suppression by 2030.