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.

Design and Implementation of Hospital Automatic Nursing Management Information System Based on Computer Information Technology.

Clinical nursing work fails to integrate various nursing tasks such as basic care, observation of patients' conditions, medication, treatment, communication, and health guidance to provide continuous and full nursing care for patients. Based on this, this paper uses the Internet of Things (IoT) technology to optimize the infusion process and achieve closed-loop management of medications and improve the efficiency and safety of infusion and medication administration by using a rational and effective outpatient and emergency infusion and medication management system. The system was built by applying wireless network, barcode technology, RFID, infrared tube sensing, and other technologies and was combined with actual nursing work to summarize application techniques and precautions. The application of this system will become a new highlight of medical informatization, improve patient experience, monitor infusion safety, enhance nursing care, reduce emergency medical disputes, improve patient satisfaction, and will create good social and economic benefits for the hospital.

Data quality assessment and associated factors in the health management information system among health centers of Southern Ethiopia.

BACKGROUND: A well designed Health management information system is necessary for improving health service effectiveness and efficiency. It also helps to produce quality information and conduct evidence based monitoring, adjusting policy implementation and resource use. However, evidences show that data quality is poor and is not utilized for program decisions in Ethiopia especially at lower levels of the health care and it remains as a major challenge. METHOD: Facility based cross sectional study design was employed. A total of 18 health centers and 302 health professionals were selected by simple random sampling using lottery method from each selected health center. Data was collected by health professionals who were experienced and had training on HMIS tasks after the tools were pretested. Data quality was assessed using accuracy, completeness and timeliness dimensions. Seven indicators from national priority area were selected to assess data accuracy and monthly reports were used to assess completeness and timeliness. Statistical software SPSS version 20 for descriptive statistics and binary logistic regression was used for quantitative data analysis to identify candidate variable. RESULT: A total of 291 respondents were participated in the study with response rate of 96%. Overall average data quality was 82.5%. Accuracy, completeness and timeliness dimensions were 76%, 83.3 and 88.4 respectively which was lower than the national target. About 52.2% respondents were trained on HMIS, 62.5% had supervisory visits as per standard and only 55.3% got written feedback. Only 11% of facilities assigned health information technicians. Level of confidence [AOR = 1.75, 95% CI (0.99, 3.11)], filling registration or tally completely [AOR = 3.4, 95% CI (1.3, 8.7)], data quality check, supervision AOR = 1.7 95% CI (0.92, 2.63) and training [AOR = 1.89 95% CI (1.03, 3.45)] were significantly associated with data quality. CONCLUSION: This study found that the overall data quality was lower than the national target. Over reporting of all indicators were observed in all facilities. It needs major improvement on supervision quality, training status to increase confidence of individuals to do HMIS activities.

Determinants of Facility-Level Use of Electronic Immunization Registries in Tanzania and Zambia: An Observational Analysis.

BACKGROUND: As more countries transition from paper-based to electronic immunization registries (EIRs) to collect and track individual immunization data, guidance is needed for successful adoption and use of these systems. Little research is available on the determinants of EIR use soon after introduction. This observational study assesses the determinants of facility health care workers' use of new EIRs in Tanzania and Zambia, implemented during 2016 to 2018. METHODS: We used EIR data entered between 2016 and 2018 from 3 regions in Tanzania and 1 province in Zambia to measure weekly EIR system use for a total of 50,639 facility-weeks. We joined secondary data on facility characteristics and applied the Performance of Routine Information System Management framework to categorize characteristics as organizational, technical, or behavioral. We used a generalized estimating equations logistic regression model to assess facility characteristics as potential determinants of system use. RESULTS: In both countries, the estimated odds of weekly EIR use declined weekly after EIR introduction. In Tanzania, health centers and hospitals had increased odds of system use compared to dispensaries. For each additional health care worker trained in a facility during the EIR introduction, the estimated odds of weekly EIR use increased. Tanzanian facilities that had transitioned entirely to paperless reporting had higher odds of sustained use compared to those maintaining parallel electronic and paper-based reporting systems. In Zambia, distance from the district health office was significantly associated with decreasing odds of system use. There were significant differences in EIR use by district in both countries. DISCUSSION: The results highlight the importance of organizational and behavioral factors in explaining sustained EIR use. As EIRs are introduced in new settings, we recommend indicators of engagement and use be built directly into the system so they can be routinely monitored, and course corrections can be implemented as needed.

Effect of data quality improvement intervention on health management information system data accuracy: An interrupted time series analysis.

BACKGROUND: As part of a partnership between the Institute for Healthcare Improvement and the Ethiopian Federal Ministry of Health, woreda-based quality improvement collaboratives took place between November 2016 and December 2017 aiming to accelerate reduction of maternal and neonatal mortality in Lemu Bilbilu, Tanqua Abergele and Duguna Fango woredas. Before starting the collaboratives, assessments found inaccuracies in core measures obtained from Health Management Information System reports. METHODS AND RESULTS: Building on the quality improvement collaborative design, data quality improvement activities were added and we used the World Health Organization review methodology to drive a verification factor for the core measures of number of pregnant women that received their first antenatal care visit, number of pregnant women that received antenatal care on at least four visits, number of pregnant women tested for syphilis and number of births attended by skilled health personnel. Impact of the data quality improvement was assessed using interrupted time series analysis. We found accurate data across all time periods for Tanqua Abergele. In Lemu Bilbilu and Duguna Fango, data quality improved for all core metrics over time. In Duguna Fango, the verification factor for number of pregnant women that received their first antenatal care visit improved from 0.794 (95%CI 0.753, 0.836; p<0.001) pre-intervention by 0.173 (95%CI 0.128, 0.219; p<0.001) during the collaborative; and the verification factor for number of pregnant women tested for syphilis improved from 0.472 (95%CI 0.390, 0.554; p<0.001) pre-intervention by 0.460 (95%CI 0.369, 0.552; p<0.001) during the collaborative. In Lemu Bilbilu, the verification factor for number of pregnant women receiving a fourth antenatal visit rose from 0.589 (95%CI 0.513, 0.664; p<0.001) at baseline by 0.358 (95%CI 0.258, 0.458; p<0.001) post-intervention; and skilled birth attendance rose from 0.917 (95%CI 0.869, 0.965) at baseline by 0.083 (95%CI 0.030, 0.136; p<0.001) during the collaborative. CONCLUSIONS: A Data quality improvement initiative embedded within woreda clinical improvement collaborative improved accuracy of data used to monitor maternal and newborn health services in Ethiopia.

Re-energising the way we manage change in healthcare: the case for soft systems methodology and its application to evidence-based practice.

BACKGROUND: Updating, improving and spreading the evidence base for healthcare practices has proven to be a challenge of considerable magnitude - a wicked, multi-dimensional problem. There are many interlinked factors which determine how, why and whether any particular implementation effort or intervention succeeds. Soft Systems Methodology (SSM), strongly grounded in systems ideas and complexity science, offers a structured, yet flexible process for dealing with situations that are perceived as problematical and in need of improvement. The aim of this paper is to propose the use of SSM for managing change in healthcare by way of addressing some of the complexities. The aim is further to illustrate examples of how SSM has been used in healthcare and discuss the features of the methodology that we believe can be harnessed to improve healthcare. DISCUSSION: SSM is particularly suited for tackling real world problems that are difficult to define and where stakeholders may have divergent views on the situation and the objectives of change. SSM engages stakeholders in a learning cycle including: finding out about the problematical situation, i.e. the context in which the problem exists, by developing a rich picture of the situation; defining it by developing conceptual models and comparing these with the real world; taking action to improve it by deciding on desirable and feasible improvements; and implementing these in an iterative manner. Although SSM has been widely used in other sectors, it has not been extensively used in healthcare. We make the case for applying SSM to implementation and improvement endeavours in healthcare using the example of getting clinicians at the hospital level to use evidence-based guidelines. CONCLUSION: Applying SSM means taking account of the multi-dimensional nature of care settings, and dealing with entrenched and unique contexts, cultures and socio-political ecosystems - precisely those that manifest in healthcare. There are gains to be made in appreciating complexity and facilitating contextualization of interventions, and by approaching improvements in an iterative learning cycle.

Assessment of four common underfive children illnesses Routine Health Management Information System data for decision making at Ilemela Municipal Council, Northwest Tanzania: A case series analysis.

BACKGROUND: In 2012, The Tanzania Ministry Of Health introduced the revised Routine Health Management Information System (RHMIS) modules and registers, and introduced the open source software for data collection at the district council level. Despite a series of data collection tools revisions, the quality of data collated from both public and private primary health care facilities has not been investigated. METHODS: A case series study design was conducted on underfive children outpatient registers and monthly reports on malaria, acute respiratory infections, acute diarrhoea and pneumonia from 10 randomly selected health facilities. The data was entered into excel software and exported to stata version 11 for analysis. The data was analyzed for completeness, timely report submission and reporting accuracy. RESULTS: The Study found that 62% of the expected data was complete. Around 40% of the facilities submitted reports on time. Private health facilities submitted monthly reports late compared to the public facilities (p-value=0.039). There was 26% over-reporting of diagnosis. Health centres tended to over-report more diagnoses by 11 times higher than the dispensaries. In addition, private owned health facilities tended to over-report more diagnoses by 6 times higher than public owned health facilities. CONCLUSION: The RHMIS data collected through out patients department (OPD) registers on four common underfive children's illnesses at ilemela municipality were of unsatisfactory quality in light of allocation of resource allocations in the comprehensive council health plan.

An Analysis of the Factor Model on the Workload of Nursing Staff Using a Hospital Management Tool.

We developed a tool that allows a medical facility to offer efficient nursing care with limited human resources by optimizing the distribution of hospital ward nursing tasks. The use of information and communications technology to visualize daily workloads and make use of quantified workload data is important for identifying management elements that allow the efficient allocation of personnel and tasks. The goal of this study was to utilize data from the ward management tool that we developed to consider workflow processes for nursing staff and the relationships between the nursing competence of the nursing staff and the patients' conditions and how these impact on workloads. We found a correlation between workload and staff competence. With respect to the teamwork index and patient condition, structural equation modeling analysis using the intensity of nursing care needs and degree of independent daily living showed that patient condition had a meaningful effect on workload.

User's Satisfaction of Multiple Accounting Record System.

UNLABELLED: The study hospital had developed a multiple account recording system that generates the accounting information of the consumed materials based on daily nursing records. A questionnaire survey was delivered to further investigate the impact of the system. METHODS: Four concepts of the system were investigated. (1) Supportive and time saving; (2) impact on workflows and job satisfactions; (3) ease of use; and (4) overall satisfactions. RESULTS: The system scored 4.03 out of 5 as the highest for helpfulness for daily practices, 3.98 for decrease the time for recording material consumptions, 3.98 for actually changed the way they work. DISCUSSION: Users mostly expressed positive attitude towards the system.

[How management teams use information and control systems to manage hospitals]. / Cómo los equipos de dirección usan los sistemas de información y control en la gestión hospitalaria.

OBJECTIVE: To analyze the relationship between the characteristics of top management teams and the different use of management information and control systems (MICS) to implement policies that encourage cooperation and activity coordination in public hospitals. METHODS: Data were collected through a questionnaire sent to each member of the top management teams of 231 Spanish public hospitals (chief executive director, medical director, nursing director and director for financial and social issues). A total of 457 valid questionnaires were returned, composing 86 full top management teams (37.23%). RESULTS: Top management team diversity was positively related to the interactive use of MICS. Management teams composed of younger members and members with longer service used MICS interactively. Top management teams with a predominantly clinical education and experience used MICS interactively, while top teams with a predominantly administrative education and experience used MICS diagnostically. The results also showed that cooperation and coordination in hospitals were positively related to the interactive use of MICS and were negatively related to the diagnostic use of MICS. CONCLUSIONS: The interactive use of MICS is an important mediator in the relationship between top team diversity and policies focused on hospital decentralization. Top management teams with diverse characteristics (e.g. age, length of service, education and experience) use management information interactively to enhance activity coordination and resource allocation in hospitals.

Improving community case management of diarrhoea and pneumonia in district Badin, Pakistan through a cluster randomised study--the NIGRAAN trial protocol.

BACKGROUND: Diarrhoea and pneumonia contribute 30% of deaths in children under 5 in Pakistan. Pakistan's Lady Health Workers Programme (LHW-P) covers about 60% of the population but has had little impact in reducing morbidity and mortality related to these major childhood killers. An external evaluation of the LHW-P suggests that lack of supportive supervision of LHWs by lady health supervisors (LHSs) is a key determinant of this problem. Project NIGRAAN aims to improve knowledge and skills of LHWs and community caregivers through supervisory strategies employed by LHSs. Ultimately, community case management (CCM) of childhood pneumonia and diarrhoea will improve. METHODS/DESIGN: NIGRAAN is a cluster-randomised trial in District Badin, Pakistan. There are approximately 1100 LHWs supervised by 36 LHSs in Badin. For this study, each LHS serves as a cluster. All LHSs working permanently in Badin who regularly conduct and report field visits are eligible. Thirty-four LHSs have been allocated to either intervention or control arms in a ratio of 1:1 through computer-generated simple randomisation technique. Five LHWs from each LHSs are also randomly picked. All 34 LHSs and 170 LHWs will be actively monitored. The intervention consists of training to build LHS knowledge and skills, clinical mentorship and written feedback to LHWs. Pre- and post-intervention assessments of LHSs, LHWs and community caregivers will be conducted via focus group discussions, in-depth interviews, knowledge assessment questionnaires, skill assessment scorecards and household surveys. Primary outcome is improvement in CCM practices of childhood diarrhoea and pneumonia and will be assessed at the cluster level. DISCUSSION: NIGRAAN takes a novel approach to implementation research and explores whether training of LHSs in supervisory skills results in improving the CCM practices of childhood diarrhoea and pneumonia. No significant harm to participants is anticipated. The enablers and barriers towards improved CCM would provide recommendations to policymakers for scale up of this intervention nationally and regionally. TRIAL REGISTRATION: NIGRAAN is registered with the 'Australian New Zealand Clinical Trials Registry'. REGISTRATION NUMBER: ACTRN12613001261707.

Development of model for assessing the acceptance level of users in rural healthcare system of Tamilnadu, India.

BACKGROUND: HMIS will incorporate a paradigm shift in health such as removing manual records and transformation of data through the complex structure of health departments in Tamilnadu. Thus developing a model of technology acceptance in HMIS contest is important and necessary in order to promote usage of the HMIS in rural health care system. OBJECTIVE: The papers purpose is to formulate a model of technology acceptance of Health Management Information System (HMIS) by generating and validating a research model that best describes rural health care workers usage behavior and behavior intention. METHODS: This research proposes a theoretical framework which is comprised of key determinants that influence usage behavior of HMIS together with moderator. It has been tested through different parametric test and confirmatory factor analysis. RESULTS: Data analysis shows that health workers innovativeness and voluntariness have a direct and positive influence on Technology Acceptance level and that the basic TAM hypotheses are fulfilled. HMIS usage behavior and behavior intention can be increased with factors that are effecting the successful implementation of HMIS when it remains high. CONCLUSIONS: This research enables health departments to know which aspects of their HMIS components and variables to improve. This shows that HMIS usage and health workers/staffs acceptance level are key tools in the success of HMIS. This research has seemed to be done at the right time and in the right place to the best of its kind.

Business intelligence and information systems in hospitals--distribution and usage of BI and HIS in German hospitals.

This paper shows the results of a short survey taken place in February 2013 within German Hospitals. The present studies view is bottom-up and the interviews are done directly with the hospitals CIOs. There are some effects like the G-DRG implementation in Germany that are evident in the results. The survey indicates also the different methods of adapting the solutions, either by having an all-in-one solution by a single provider or by using a modular solution from multiple providers.

Workplace measurements by the US Occupational Safety and Health Administration since 1979: descriptive analysis and potential uses for exposure assessment.

BACKGROUND: Inspectors from the US Occupational Safety and Health Administration (OSHA) have been collecting industrial hygiene samples since 1972 to verify compliance with Permissible Exposure Limits. Starting in 1979, these measurements were computerized into the Integrated Management Information System (IMIS). In 2010, a dataset of over 1 million personal sample results analysed at OSHA's central laboratory in Salt Lake City [Chemical Exposure Health Data (CEHD)], only partially overlapping the IMIS database, was placed into public domain via the internet. We undertook this study to inform potential users about the relationship between this newly available OSHA data and IMIS and to offer insight about the opportunities and challenges associated with the use of OSHA measurement data for occupational exposure assessment. METHODS: We conducted a literature review of previous uses of IMIS in occupational health research and performed a descriptive analysis of the data recently made available and compared them to the IMIS database for lead, the most frequently sampled agent. RESULTS: The literature review yielded 29 studies reporting use of IMIS data, but none using the CEHD data. Most studies focused on a single contaminant, with silica and lead being most frequently analysed. Sixteen studies addressed potential bias in IMIS, mostly by examining the association between exposure levels and ancillary information. Although no biases of appreciable magnitude were consistently reported across studies and agents, these assessments may have been obscured by selective under-reporting of non-detectable measurements. The CEHD data comprised 1 450 836 records from 1984 to 2009, not counting analytical blanks and erroneous records. Seventy eight agents with >1000 personal samples yielded 1 037 367 records. Unlike IMIS, which contain administrative information (company size, job description), ancillary information in the CEHD data is mostly analytical. When the IMIS and CEHD measurements of lead were merged, 23 033 (39.2%) records were in common to both IMIS and CEHD datasets, 10 681 (18.2%) records were only in IMIS, and 25 012 (42.6%) records were only in the CEHD database. While IMIS-only records represent data analysed in other laboratories, CEHD-only records suggest partial reporting of sampling results by OSHA inspectors into IMIS. For lead, the percentage of non-detects in the CEHD-only data was 71% compared to 42% and 46% in the both-IMIS-CEHD and IMIS-only datasets, respectively, suggesting differential under-reporting of non-detects in IMIS. CONCLUSIONS: IMIS and the CEHD datasets represent the biggest source of multi-industry exposure data in the USA and should be considered as a valuable source of information for occupational exposure assessment. The lack of empirical data on biases, adequate interpretation of non-detects in OSHA data, complicated by suspected differential under-reporting, remain the principal challenges to the valid estimation of average exposure conditions. We advocate additional comparisons between IMIS and CEHD data and discuss analytical strategies that may play a key role in meeting these challenges.

Intraoperative non-record-keeping usage of anesthesia information management system workstations and associated hemodynamic variability and aberrancies.

BACKGROUND: Anesthesia information management system workstations in the anesthesia workspace that allow usage of non-record-keeping applications could lead to distraction from patient care. We evaluated whether non-record-keeping usage of the computer workstation was associated with hemodynamic variability and aberrancies. METHODS: Auditing data were collected on eight anesthesia information management system workstations and linked to their corresponding electronic anesthesia records to identify which application was active at any given time during the case. For each case, the periods spent using the anesthesia information management system record-keeping module were separated from those spent using non-record-keeping applications. The variability of heart rate and blood pressure were also calculated, as were the incidence of hypotension, hypertension, and tachycardia. Analysis was performed to identify whether non-record-keeping activity was a significant predictor of these hemodynamic outcomes. RESULTS: Data were analyzed for 1,061 cases performed by 171 clinicians. Median (interquartile range) non-record-keeping activity time was 14 (1, 38) min, representing 16 (3, 33)% of a median 80 (39, 143) min of procedure time. Variables associated with greater non-record-keeping activity included attending anesthesiologists working unassisted, longer case duration, lower American Society of Anesthesiologists status, and general anesthesia. Overall, there was no independent association between non-record-keeping workstation use and hemodynamic variability or aberrancies during anesthesia either between cases or within cases. CONCLUSION: Anesthesia providers spent sizable portions of case time performing non-record-keeping applications on anesthesia information management system workstations. This use, however, was not independently associated with greater hemodynamic variability or aberrancies in patients during maintenance of general anesthesia for predominantly general surgical and gynecologic procedures.

Anesthesia recordkeeping: accuracy of recall with computerized and manual entry recordkeeping.

Anesthesia information management systems (AIMS) are rapidly gaining widespread acceptance. Aggressively promoted as an improvement to manual-entry recordkeeping systems (MERS) in the areas of accuracy, quality improvement, billing and vigilance, these systems record all patient vital signs and parameters, providing a legible hard copy and permanent electronic record. Concern exists that the practitioner may be less vigilant unless this data is recorded manually. This study's purpose was to determine if vigilance, as measured by the ability to recall important data, is influenced by the method of recordkeeping. This study analyzed differences in the accuracy of Certified Registered Nurse Anesthetists' (CRNAs) recall of specific patient variables during the course of an actual anesthetic case. CRNAs using AIMS were compared to CRNAs using MERS. Accuracy of recalled values of 10 patient variables was measured: highest and lowest values for heart rate, systolic blood pressure, inspiratory pressure, and end-tidal carbon dioxide levels, lowest oxygen saturation and total fluid volume. Four tertiary care facilities participated in this research; two of which used MERS, two utilized AIMS. A total of 214 subjects participated in this study; 106 in the computerized recordkeeping group, and 108 in the manual entry recordkeeping group. Demographic covariates were analyzed to ensure homogeneity between groups and facilities. No significant statistical differences were identified between the accuracy of recall among the groups. There was no difference in the accuracy of practitioners' recall of patient variables when using computerized or manual entry recordkeeping systems, suggesting little impact on vigilance.

Acceptance and utilisation of the Incident Command System in first response and allied disciplines: an Ohio study.

In response to the terrorist attacks of September 11th, 2001, an effort was made to establish a common and uniform command structure for use by the nation's first responder organisations, as well as those disciplines generally expected to assist first responders during a major incident or disaster. The result was the issuance of the National Incident Management System1 or NIMS by the US Department of Homeland Security in 2004. Included in the NIMS document was an embracing of the Incident Command System or ICS, long utilised in the fire service for the effective management of emergency response. The NIMS doctrine also identified certain allied disciplines that needed to adopt this new system for responding to major events. Some of these disciplines included specialised first response units, such as, bomb squads and hazardous materials teams. Other partner disciplines not usually associated with emergency response to include public health and public works were also included. This study will attempt to look at a single component of NIMS, specifically the Incident Command System, and measure its acceptance and utilisation by first responder organisations and selected allied disciplines in the state of Ohio. This is particularly important at this time since the US government is being forced to reduce budgets significantly and determine which laudable policies and programmes will be cut.