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Published in: BMC Health Services Research 1/2018

Open Access 01-12-2018 | Research article

Routine health information utilization and associated factors among health care professionals working at public health institution in North Gondar, Northwest Ethiopia

Authors: Eshetu Dagnew, Solomon Assefa Woreta, Atsede Mazengia Shiferaw

Published in: BMC Health Services Research | Issue 1/2018

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Abstract

Background

Routine health information systems (RHIS) are vital for the acquisition of data for health sector planning, monitoring, and evaluation. However, in developing countries the insufficient quality of the data produced by RHIS limits their usefulness in decision-making. As routine health information utilization is still low in Ethiopia, this study aimed to assess the magnitude of routine health data utilization and associated factors among health care professionals in some public health institutions in North Gondar, northwest Ethiopia.

Methods

An institution based cross-sectional study was conducted from March to April2017, at public health institutions of North Gondar Zone, northwest Ethiopia. A total of 720 health care professionals were selected from public health institutions using the multi-stage sampling technique. Data were collected using a structured self-administered questionnaire and an observational checklist, cleaned, coded, and entered into Epi-info version 3.5.3 and transferred into SPSS version 20 for further statistical analysis. In the multiple logistic regression analysis, a less than 0.05 P-vale was considered statistically significant.

Result

In this study, the level of good routine health information utilization among health professionals was 78.5% (95% CI: 73.2%, 84.3%). According to the multivariable logistic regression analysis, sex (AOR = 2.19, 95% CI: 1.47, 3.27), type of institution (AOR = 3.57, 95% CI: 2.39, 5.32), standard indicators (AOR = 3.28, 95% CI: 1.90, 5.65), data analysis skills (AOR = 1.90, 95% CI: 1.12, 3.23), and good governance (AOR = 1.97, 95% CI: 1.31, 2.95), were found significantly associated with a good level of health information utilization.

Conclusion

Over three-fourths of the health care professionals working at public health institutions of North Gondar utilized health information better than the respondents in previous studies. Sex, type of institution, standard indicators, data analysis skills, and governance were factors related to routine health information utilization. Therefore, standard indicators, data analysis skills and good governance are highly recommended for improving routine health data utilization of health care professionals working at public health institutions.
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Literature
1.
go back to reference Aqil A, Lippeveld T, Hozumi D. PRISM framework: a paradigm shift for designing, strengthening and evaluating routine health information systems. Health Policy Plan. 2009;24(3):217–28.CrossRefPubMedPubMedCentral Aqil A, Lippeveld T, Hozumi D. PRISM framework: a paradigm shift for designing, strengthening and evaluating routine health information systems. Health Policy Plan. 2009;24(3):217–28.CrossRefPubMedPubMedCentral
2.
go back to reference WHO, Framework and Standards for Country Health Information Systems. 2012. WHO, Framework and Standards for Country Health Information Systems. 2012.
3.
go back to reference Framework, W. Standards for country health information systems/health metrics network. Geneva: World Health Organization; 2008. Framework, W. Standards for country health information systems/health metrics network. Geneva: World Health Organization; 2008.
4.
go back to reference AbouZahr C, Boerma T. Health information systems: the foundations of public health. Geneva: World Health Organization; 2014. AbouZahr C, Boerma T. Health information systems: the foundations of public health. Geneva: World Health Organization; 2014.
5.
go back to reference Singh A. Strengthening health systems to meet MDGs. Health Pol Plan. 2006;21(4):326–8.CrossRef Singh A. Strengthening health systems to meet MDGs. Health Pol Plan. 2006;21(4):326–8.CrossRef
6.
go back to reference Nisingizwe MP, et al. Toward utilization of data for program management and evaluation: quality assessment of five years of health management information system data in Rwanda. Glob Health Action. 2014;7(1):25829.CrossRefPubMed Nisingizwe MP, et al. Toward utilization of data for program management and evaluation: quality assessment of five years of health management information system data in Rwanda. Glob Health Action. 2014;7(1):25829.CrossRefPubMed
7.
go back to reference Mucee EM, Kaburi LW, Kinyamu RK. Routine Health Management Information Use in the Public Health Sector in Tharaka Nithi County, Kenya. Imperial J Interdisciplinary Res. 2016;2(3):660–672 Mucee EM, Kaburi LW, Kinyamu RK. Routine Health Management Information Use in the Public Health Sector in Tharaka Nithi County, Kenya. Imperial J Interdisciplinary Res. 2016;2(3):660–672
8.
go back to reference Hotchkiss DR, et al. Evaluation of the performance of routine information system management (PRISM) framework: evidence from Uganda. BMC Health Serv Res. 2010;10(1):188.CrossRefPubMedPubMedCentral Hotchkiss DR, et al. Evaluation of the performance of routine information system management (PRISM) framework: evidence from Uganda. BMC Health Serv Res. 2010;10(1):188.CrossRefPubMedPubMedCentral
9.
go back to reference Aqil A. PRISM case studies: strengthening and evaluating RHIS. Washington, D.C: MEASURE Evaluation, USAID; 2008. Aqil A. PRISM case studies: strengthening and evaluating RHIS. Washington, D.C: MEASURE Evaluation, USAID; 2008.
10.
go back to reference Health Metrics, N. Assessing the National Health information systems. An assessment tool. Geneva: Health metrics network, World Health Organization; 2008. Health Metrics, N. Assessing the National Health information systems. An assessment tool. Geneva: Health metrics network, World Health Organization; 2008.
11.
go back to reference Lærum H, Karlsen TH, Faxvaag A. Use of and attitudes to a hospital information system by medical secretaries, nurses and physicians deprived of the paper-based medical record: a case report. BMC Med Inform Decis Mak. 2004;4(1):18.CrossRefPubMedPubMedCentral Lærum H, Karlsen TH, Faxvaag A. Use of and attitudes to a hospital information system by medical secretaries, nurses and physicians deprived of the paper-based medical record: a case report. BMC Med Inform Decis Mak. 2004;4(1):18.CrossRefPubMedPubMedCentral
12.
go back to reference Organization, W.H. Everybody's business: strengthening health systems to improve health outcomes. WHO's Framework for Action. Geneva: WHO; 2007. Organization, W.H. Everybody's business: strengthening health systems to improve health outcomes. WHO's Framework for Action. Geneva: WHO; 2007.
13.
go back to reference Organization., W.H. Strengthening Health Information Systems. Geneva: WHO; 2007. Retrieved february 10, 2014 Organization., W.H. Strengthening Health Information Systems. Geneva: WHO; 2007. Retrieved february 10, 2014
14.
go back to reference Evaluation, M., Routine health information systems: a curriculum on basic concepts and practice - facilitators’ guide 2017. Evaluation, M., Routine health information systems: a curriculum on basic concepts and practice - facilitators’ guide 2017.
15.
go back to reference Nutley T, Reynolds HW. Improving the use of health data for health system strengthening. Glob Health Action. 2013;6:20001.CrossRefPubMed Nutley T, Reynolds HW. Improving the use of health data for health system strengthening. Glob Health Action. 2013;6:20001.CrossRefPubMed
16.
go back to reference Nutley T. Improving data use in decision making: an intervention to strengthen health systems. Chapel Hill: MEASURE Evaluation, Carolina Population Center, Carolina; 2012. Nutley T. Improving data use in decision making: an intervention to strengthen health systems. Chapel Hill: MEASURE Evaluation, Carolina Population Center, Carolina; 2012.
18.
go back to reference Tadesse K, Gebeyoh E, Tadesse G. Assessment of health management information system implementation in Ayder referral hospital, Mekelle, Ethiopia. Int J Intell Inf Syst. 2014;3(4):34. Tadesse K, Gebeyoh E, Tadesse G. Assessment of health management information system implementation in Ayder referral hospital, Mekelle, Ethiopia. Int J Intell Inf Syst. 2014;3(4):34.
19.
go back to reference Andualem M, Kebede G, Kumie A. Information needs and seeking behaviour among health professionals working at public hospital and health centres in Bahir Dar, Ethiopia. BMC Health Serv Res. 2013;13(1):534.CrossRefPubMedPubMedCentral Andualem M, Kebede G, Kumie A. Information needs and seeking behaviour among health professionals working at public hospital and health centres in Bahir Dar, Ethiopia. BMC Health Serv Res. 2013;13(1):534.CrossRefPubMedPubMedCentral
20.
go back to reference Gladwin J, Dixon R, Wilson T. Implementing a new health management information system in Uganda. Health Policy Plan. 2003;18(2):214–24.CrossRefPubMed Gladwin J, Dixon R, Wilson T. Implementing a new health management information system in Uganda. Health Policy Plan. 2003;18(2):214–24.CrossRefPubMed
21.
go back to reference Garrib A, et al. An evaluation of the district health information system in rural South Africa. SAMJ: S Afr Med J. 2008;98(7):549–52.PubMed Garrib A, et al. An evaluation of the district health information system in rural South Africa. SAMJ: S Afr Med J. 2008;98(7):549–52.PubMed
22.
go back to reference Andargie, G., Assessment of utilization of health information system at district level with particular emphasis to HIV/AIDS program in North Gondar zone Amhara national regional state. 2006, aau. Andargie, G., Assessment of utilization of health information system at district level with particular emphasis to HIV/AIDS program in North Gondar zone Amhara national regional state. 2006, aau.
23.
go back to reference Abajebel S, Jira C, Beyene W. Utilization of health information system at district level in Jimma zone Oromia regional state, South West Ethiopia. Ethiop J Health Sci. 2011;21(3):65–76.PubMedPubMedCentral Abajebel S, Jira C, Beyene W. Utilization of health information system at district level in Jimma zone Oromia regional state, South West Ethiopia. Ethiop J Health Sci. 2011;21(3):65–76.PubMedPubMedCentral
24.
go back to reference Shiferaw AM, et al. Routine health information system utilization and factors associated thereof among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia. BMC Med Inform Decis Mak. 2017;17(1):116.CrossRefPubMedPubMedCentral Shiferaw AM, et al. Routine health information system utilization and factors associated thereof among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia. BMC Med Inform Decis Mak. 2017;17(1):116.CrossRefPubMedPubMedCentral
25.
go back to reference Abera E, et al. Utilization of health management information system and associated factors in Hadiya zone health centers, Southern Ethiopia. Res Health Sci. 2016;1(2):98.CrossRef Abera E, et al. Utilization of health management information system and associated factors in Hadiya zone health centers, Southern Ethiopia. Res Health Sci. 2016;1(2):98.CrossRef
26.
go back to reference Yarinbab TE, Assefa MK. Utilization of HMIS Data and Its Determinants at Health Facilities in East Wollega Zone, Oromia Regional State, Ethiopia: A Health Facility Based Cross-Sectional Study. Med Health Sci. 2018;7(1) Yarinbab TE, Assefa MK. Utilization of HMIS Data and Its Determinants at Health Facilities in East Wollega Zone, Oromia Regional State, Ethiopia: A Health Facility Based Cross-Sectional Study. Med Health Sci. 2018;7(1)
27.
go back to reference Adane T, Tadesse T, Endazenaw G. Assessment on Utilization of Health Management Information System at Public Health Centers Addis Ababa City Administrative, Ethiopia. Internet Things Cloud Comput. 2017;5(1):7–18.CrossRef Adane T, Tadesse T, Endazenaw G. Assessment on Utilization of Health Management Information System at Public Health Centers Addis Ababa City Administrative, Ethiopia. Internet Things Cloud Comput. 2017;5(1):7–18.CrossRef
28.
go back to reference Belay, H., T. Azim, H. Kaddahun, Assessment of Health Management Information System (HMIS) Performance in SNNPR, Ethiopia. Measure Evaluation, 2013. Belay, H., T. Azim, H. Kaddahun, Assessment of Health Management Information System (HMIS) Performance in SNNPR, Ethiopia. Measure Evaluation, 2013.
29.
go back to reference Asemahagn MA. Determinants of routine health information utilization at primary healthcare facilities in Western Amhara, Ethiopia. Cogent Med. 2017;4(1):1387971.CrossRef Asemahagn MA. Determinants of routine health information utilization at primary healthcare facilities in Western Amhara, Ethiopia. Cogent Med. 2017;4(1):1387971.CrossRef
30.
go back to reference Shaikh BT, Hatcher J. Health seeking behaviour and health service utilization in Pakistan: challenging the policy makers. J Public Health. 2005;27(1):49–54.CrossRef Shaikh BT, Hatcher J. Health seeking behaviour and health service utilization in Pakistan: challenging the policy makers. J Public Health. 2005;27(1):49–54.CrossRef
31.
go back to reference Teklegiorgis K, et al. Factors associated with low level of health information utilization in resources limited setting, eastern Ethiopia. Inf Syst. 2014;3(6):69–75 Teklegiorgis K, et al. Factors associated with low level of health information utilization in resources limited setting, eastern Ethiopia. Inf Syst. 2014;3(6):69–75
32.
go back to reference Mucee EM, Kaburi W, Kinyamu RK. Routine Health Management Information Use in the Public Health Sector in Tharaka Nithi. Kenya: Interdisciplinary Research; 2016. Mucee EM, Kaburi W, Kinyamu RK. Routine Health Management Information Use in the Public Health Sector in Tharaka Nithi. Kenya: Interdisciplinary Research; 2016.
33.
go back to reference Gibson B. KAGARUK, Kimaro HC, Leonard G. MBOERA, Factors Affecting Utilization of Evidence Based Health Information System for Effective Supply Chain of Essential Medicine in Tanzania. Health Informatics in Developing Countries, 2013. Gibson B. KAGARUK, Kimaro HC, Leonard G. MBOERA, Factors Affecting Utilization of Evidence Based Health Information System for Effective Supply Chain of Essential Medicine in Tanzania. Health Informatics in Developing Countries, 2013.
34.
go back to reference Asiimwe, A.K., Determinants of effective utilization of routine health information within private health facilities in. 2016. Asiimwe, A.K., Determinants of effective utilization of routine health information within private health facilities in. 2016.
35.
go back to reference Health, M.o. and F.D.R.o. Ethiopia, National Health Information System Road Map. 2012. Health, M.o. and F.D.R.o. Ethiopia, National Health Information System Road Map. 2012.
36.
go back to reference Health, E.F.M.o., Information Revolution Roadmap. 2016. Health, E.F.M.o., Information Revolution Roadmap. 2016.
37.
go back to reference FMOH E, WHO, CSA, HMN. Assessment of the Ethiopian National Health Information System. Ethiop J health Sci; 2007. FMOH E, WHO, CSA, HMN. Assessment of the Ethiopian National Health Information System. Ethiop J health Sci; 2007.
Metadata
Title
Routine health information utilization and associated factors among health care professionals working at public health institution in North Gondar, Northwest Ethiopia
Authors
Eshetu Dagnew
Solomon Assefa Woreta
Atsede Mazengia Shiferaw
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2018
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-018-3498-7

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