Does pharmaceutical information systems data inform decision-making in public healthcare? Utility of a national system in a limited resource setting

Kagoya, Harriet Rachel; Rennie, Timothy; Kibuule, Dan; Mitonga, Kabwebwe Honoré

doi:10.1016/j.sapharm.2020.06.012

Cited by 1 publication

(22 citation statements)

References 40 publications

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“…This was majorly due to weak PIS program implementation, and limited human and technical resources at points of care. 15 Table 1 shows six concepts and sub-concepts and their definitions derived from the four studies to strengthen quality and utility of PIS data in Namibia (Table 1).…”

Section: Summary Of Demographics Of Opinion Experts and Study Findingsmentioning

confidence: 99%

“…Definition of the concept Sub-concepts Improve Data quality 12,15,21 Data quality refers to the state of qualitative and quantitative pieces of information. Data quality is defined in terms of four attributes: timeliness, completeness, validity, and accuracy as measures of its fitness for intended use in operations, decisions, and planning.…”

Section: Concepts (Study Sources)mentioning

confidence: 99%

“…Enhance Data management 6,12,15,21,22 Data management is the process of acquiring, validating, storing, protecting, and processing required PIS data to ensure accessibility, reliability, and timeliness for its users. 36 Enhance and facilitate:…”

Section: Concepts (Study Sources)mentioning

confidence: 99%

“…15 In addition, the authors have described three thematic drivers of utility of data: weak program implementation, limited technical capacity or human resources. 15 Several studies among resource-limited countries describe predictors of PIS data quality including health facility or human resource related. 2,8,12,15,23,24 Nevertheless, few studies systematically model the utility of quality PIS data in resource-limited settings, given the high burden of disease and irrational medicine use.…”

Section: Introductionmentioning

confidence: 99%

“…15 Several studies among resource-limited countries describe predictors of PIS data quality including health facility or human resource related. 2,8,12,15,23,24 Nevertheless, few studies systematically model the utility of quality PIS data in resource-limited settings, given the high burden of disease and irrational medicine use. This calls for a comprehensive model to inform decisions on quality assurance and utility of PIS data to improve healthcare delivery.…”

Section: Introductionmentioning

confidence: 99%

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

Kagoya

Kibuule

Rennie

et al. 2020

Medicine Access @ Point of Care

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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.

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Section: Summary Of Demographics Of Opinion Experts and Study Findingsmentioning

confidence: 99%

Section: Concepts (Study Sources)mentioning

confidence: 99%