Data for local decision-making, not a mere reporting requirement: development of an index to measure facility-level use of HMIS data
# Background Well-functioning health management information systems (HMIS) enable decision-making at all health system levels. This study develops an index to measure the use of HMIS data at the facility level. # Methods We used two rounds of cross-sectional data collected from 305 health facilit...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Inishmore Laser Scientific Publishing Ltd
2023-05-01
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| Series: | Journal of Global Health Reports |
| Online Access: | https://doi.org/10.29392/001c.75141 |
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| _version_ | 1849691864036278272 |
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| author | Jiage Qian Solomon Shiferaw Assefa Seme Ousman E. Esmale Wubshet Denboba Elizabeth Stierman Linnea Zimmerman Andreea A. Creanga |
| author_facet | Jiage Qian Solomon Shiferaw Assefa Seme Ousman E. Esmale Wubshet Denboba Elizabeth Stierman Linnea Zimmerman Andreea A. Creanga |
| author_sort | Jiage Qian |
| collection | DOAJ |
| description | # Background
Well-functioning health management information systems (HMIS) enable decision-making at all health system levels. This study develops an index to measure the use of HMIS data at the facility level.
# Methods
We used two rounds of cross-sectional data collected from 305 health facilities in Ethiopia in 2019 (pre-COVID-19) and 2020 (post-COVID-19). We constructed a summative, 10-item index using exploratory factor analysis and 2019 index development data; and used Cronbach's alpha to assess reliability. To examine content validity, we mapped items against a previously published conceptual framework and consulted Ethiopian experts. We then employed one-way ANOVA and t-tests comparing the mean index scores overall and by key facility characteristics between 2019 and 2020.
# Results
The 10-item index loaded on one factor (Cronbach's alpha=0.74), and the index scores did not differ significantly by facility characteristics in 2019. The mean index score increased from 7.2 in 2019 to 7.9 in 2020 (*P*\<0.01). During this period, more facilities received feedback on HMIS reports from facility leadership (19.3% difference); received actionable recommendations on performance targets and resource allocation (7.5% and 12.3% difference, respectively); and reviewed maternal deaths (15.1% difference); conversely, the proportion of facilities that held participatory performance review meetings monthly or more often decreased by 13.8% (all *P* \<0.05).
# Conclusions
We propose a facility-level HMIS data use index and document an upward trend in HMIS data use in Ethiopia immediately after the COVID-19 pandemic was declared. Future research should further evaluate and refine the proposed index to support the measurement of HMIS data quality and utilization in Ethiopia and like settings. |
| format | Article |
| id | doaj-art-5d758c69e6c040bdacd2141b803ef52e |
| institution | DOAJ |
| issn | 2399-1623 |
| language | English |
| publishDate | 2023-05-01 |
| publisher | Inishmore Laser Scientific Publishing Ltd |
| record_format | Article |
| series | Journal of Global Health Reports |
| spelling | doaj-art-5d758c69e6c040bdacd2141b803ef52e2025-08-20T03:20:54ZengInishmore Laser Scientific Publishing LtdJournal of Global Health Reports2399-16232023-05-01710.29392/001c.75141Data for local decision-making, not a mere reporting requirement: development of an index to measure facility-level use of HMIS dataJiage QianSolomon ShiferawAssefa SemeOusman E. EsmaleWubshet DenbobaElizabeth StiermanLinnea ZimmermanAndreea A. Creanga# Background Well-functioning health management information systems (HMIS) enable decision-making at all health system levels. This study develops an index to measure the use of HMIS data at the facility level. # Methods We used two rounds of cross-sectional data collected from 305 health facilities in Ethiopia in 2019 (pre-COVID-19) and 2020 (post-COVID-19). We constructed a summative, 10-item index using exploratory factor analysis and 2019 index development data; and used Cronbach's alpha to assess reliability. To examine content validity, we mapped items against a previously published conceptual framework and consulted Ethiopian experts. We then employed one-way ANOVA and t-tests comparing the mean index scores overall and by key facility characteristics between 2019 and 2020. # Results The 10-item index loaded on one factor (Cronbach's alpha=0.74), and the index scores did not differ significantly by facility characteristics in 2019. The mean index score increased from 7.2 in 2019 to 7.9 in 2020 (*P*\<0.01). During this period, more facilities received feedback on HMIS reports from facility leadership (19.3% difference); received actionable recommendations on performance targets and resource allocation (7.5% and 12.3% difference, respectively); and reviewed maternal deaths (15.1% difference); conversely, the proportion of facilities that held participatory performance review meetings monthly or more often decreased by 13.8% (all *P* \<0.05). # Conclusions We propose a facility-level HMIS data use index and document an upward trend in HMIS data use in Ethiopia immediately after the COVID-19 pandemic was declared. Future research should further evaluate and refine the proposed index to support the measurement of HMIS data quality and utilization in Ethiopia and like settings.https://doi.org/10.29392/001c.75141 |
| spellingShingle | Jiage Qian Solomon Shiferaw Assefa Seme Ousman E. Esmale Wubshet Denboba Elizabeth Stierman Linnea Zimmerman Andreea A. Creanga Data for local decision-making, not a mere reporting requirement: development of an index to measure facility-level use of HMIS data Journal of Global Health Reports |
| title | Data for local decision-making, not a mere reporting requirement: development of an index to measure facility-level use of HMIS data |
| title_full | Data for local decision-making, not a mere reporting requirement: development of an index to measure facility-level use of HMIS data |
| title_fullStr | Data for local decision-making, not a mere reporting requirement: development of an index to measure facility-level use of HMIS data |
| title_full_unstemmed | Data for local decision-making, not a mere reporting requirement: development of an index to measure facility-level use of HMIS data |
| title_short | Data for local decision-making, not a mere reporting requirement: development of an index to measure facility-level use of HMIS data |
| title_sort | data for local decision making not a mere reporting requirement development of an index to measure facility level use of hmis data |
| url | https://doi.org/10.29392/001c.75141 |
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