Optimizing data quality of pharmaceutical information systems in public health care in resource limited settings

Assessment of RHIS Quality Assurance Practices in Tarkwa Submunicipal Health Directorate, Ghana

Background. Routine health information system (RHIS) quality assurance has become an important issue, not only because of its significance in promoting high standard of patient care, but also because of its impact on government budgets for the maintenance of health services. Routine health information system comprises healthcare data collection, compilation, storage, analysis, report generation, and dissemination on routine basis at the various healthcare settings. The data from RHIS give a representation of health status, health services, and health resources. The sources of RHIS data are normally individual health records, records of services delivered, and records of health resources. Using reliable information from routine health information systems is fundamental in the healthcare delivery system. Quality assurance practices are measures that are put in places to ensure the health data that are collected meet required quality standards. Routine health information system quality assurance practices ensure that data that are generated from the system are fit for use. This study considered quality assurance practices in the RHIS processes. Methods. A cross-sectional study was conducted in eight health facilities in Tarkwa Submunicipal health service in the western region of Ghana. The study involved routine quality assurance practices among the 90-health staff and management selected from facilities in Tarkwa Submunicipal who collect or use data routinely from 24th December, 2019, to 20th January, 2020. Results. Generally, Tarkwa Submunicipal health service appears to practice quality assurance during data collection, compilation, storage, analysis, and dissemination. The results show some achievement in quality control performance in report dissemination (77.6%), data analysis (68.0%), data compilation (67.4%), report compilation (66.3%), data storage (66.3%), and collection (61.1%). Conclusions. Even though Tarkwa Submunicipal health directorate engages some control measures to ensure data quality, there is the need to strengthen the process to achieve the targeted percentage of performance (90.0%). There was significant shortfall in quality assurance practices performance especially during data collection, with respect to the expected performance.

National standard treatment guidelines: their impact on medicine use indicators in a resource-limited setting

Objectives

Standard treatment guidelines improve patient care outcomes. Few studies assess the impact of standard treatment guidelines on population-level medicine use indicators in resource limited settings in sub-Saharan Africa, where the burden of disease is greatest. The objective of this study was to determine the immediate and long-term impact of the national standard treatment guidelines on medicine use indicators at the population-level in Namibia.

Methods

An interrupted time-series modeling of the impact of national standard treatment guidelines implemented in Namibia in 2011, on population-level medicine use indicators. Antibiotic, generic and polypharmacy prescribing indicators were abstracted from the national Pharmaceutical Information System, over an eight-year period, 2007– 2015. This generated 15-quarterly time points. The impact was estimated by changes in trends of the indicators, immediately and after the intervention using R-software. The immediate impact was reflected by level change while long term impact was determined by trends/quarterly change after standard treatment guideline implementation.

Key findings

Data points from 522 Pharmaceutical Information System reports from 38 health facilities were included. The eight-year period estimates were, 2.9 ± 0.1 medicines prescribed per outpatient, 48.1 ± 2.5% of prescriptions had an antibiotic and 74.0 ± 4.2% of medicines were prescribed by generic name. Of the 13 regions, 61.3% and 53.8% had a decline in the average medicines per prescription and prescriptions with antibiotics respectively, as well as 53.8% of the regions had an increase in prescribing of generic medicines immediately after implementation of the standard treatment guidelines. Thereafter, quarterly trends in the three indicators did not significantly improve after the intervention at national and in all regions, except for generic prescribing in Oshikoto region, 4.5% (95% CI: 2.6 – 6.3%, P < 0.001).

Conclusion

Whilst national standard treatment guidelines immediately improved medicine use indicators, it is discouraging that the improvement over time was marginal across regions and was not sustained at the national level. Robust point of care interventions is needed for sustained and effective implementation of standard treatment guidelines.

A model to strengthen utility of quality pharmaceutical health systems data in resource-limited settings

Background:

Limited utility of quality health data undermines efforts to strengthen healthcare delivery, particularly in resource-limited settings. Few studies model the effective utility of quality pharmaceutical information system (PIS) data in sub-Saharan Africa, typified with weak health systems.

Aim:

To develop a model and guidelines for strengthening utility of quality PIS data in public healthcare in Namibia, a resource-limited setting.

Methods:

A qualitative model based on Dickoff et al. practice-oriented theory, Chinn and Jacobs’ systematic approach to theory, and applied consensus techniques. Data from nationwide studies on quality and utility of PIS data in public healthcare conducted between 2018 and March 2020 informed the development of the model concepts. Pharmaceutical and public health systems experts validated the final model.

Results:

Overall, four preliminary national studies that recruited 58 PIS focal persons at 38 public health facilities and national level informed the development of four model concepts. The model describes concepts on access, management, dissemination, and utility of quality PIS data. Activities to implement the model in practice include grass-root integration of real-time automated pharmaceutical intelligence systems to collect, consolidate, monitor, and report PIS data. Strengthening coordination, human resources, and technical capacity through support supervisory systems at grass-root facilities are key activities. PIS focal persons at health facility and national level are agents to implement these activities among recipients, that is, healthcare professionals at points of care. Guidelines for implementation of the model at point of care are included. Experts described the model as clear, simple, comprehensive, and integration of pharmaceutical intelligence systems at point of care as novel and of importance to enhance utility of quality PIS data in resource-limited settings.

Conclusion:

While utility of quality PIS data is limited in Namibia, advantages of the model are encouraging, toward building resilient pharmaceutical intelligence systems at grass roots in resource-limited countries, where there are not only weak health systems, but high burden of misuse of medicines.