Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya

References

• World Health Organization. Monitoring and evaluation of health system strengthening. 2010. Available from: http://www.who.int/healthinfo/HSS_MandE_framework_Nov_2009.pdf [cited 12 December 2013]..
   Google Scholar
• Hotchkiss DR, Diana ML, Foreit KG. How can routine health information systems improve health systems functioning in low- and middle-income countries? Assessing the evidence base. Adv Health Care Manage. 2012; 12: 25–58.
   PubMedGoogle Scholar
• Ministry of Health. Health information system policy document 2010–2030. 2010. Available from: http://goo.gl/BRgGHt [cited 10 December 2013]..
   Google Scholar
• World Health Organization. The world health report-shaping the future. 2003. Available from: http://www.who.int/whr/2003/en/ [cited 18 December 2013]..
   Google Scholar
• Department for International Development. Eldis health key issues-health management information system. 2006. Available from: www.eldis.org/healthsystems/hmis/index.htm [cited 7 January 2014]..
   Google Scholar
• World Health Organization. Framework and standard for country health information system. 2008. 2nd ed. Available from: http://www.who.int/healthmetrics/documents/hmn_framework200803.pdf [cited 8 January 2014]..
   Google Scholar
• McCaw-Binns AM, Fox K, Foster-Williams KE, Ashley DE, Irons B. Registration of births, stillbirths and infant deaths in Jamaica. Int J Epidemiol. 1996; 25: 807–13.
   PubMed Web of Science ®Google Scholar
• Peabody JW, Luck J, Jain S, Bertenthal D, Glassman P. Assessing the accuracy of administrative data in health information systems. Med Care. 2004; 42: 1066–72.
   PubMed Web of Science ®Google Scholar
• World Health Organization. Assessment of health facility data quality: WHO data quality report card Cambodia 2011. 2012. Available from: http://www.hiscambodia.org/public/fileupload/Cambodia_DataQualityReportCard_2011.pdf [cited 15 December 2013]..
   Google Scholar
• Mahmood S, Ayub M. Accuracy of primary health care statistics reported by community based lady health workers in district Lahore. J Pak Med Assoc. 2010; 60: 649–53.
   PubMed Web of Science ®Google Scholar
• Fisher ES, Whaley FS, Krushat WM, Malenka DJ, Fleming C, Baron JA, etal. The accuracy of Medicare's hospital claims data: progress has been made, but problems remain. Am J Public Health. 1992; 82: 243–8.
   PubMed Web of Science ®Google Scholar
• Hahn D, Wanjala P, Marx M. Where is information quality lost at clinical level? A mixed-method study on information systems and data quality in three urban Kenyan ANC clinics. Glob Health Action. 2013; 6: 21424.
   PubMed Web of Science ®Google Scholar
• Ministry of Health. Health information system of Kenya. 2008. Available from: http://www.who.int/healthmetrics/library/countries/HMN_KEN_Assess_Final_2008_06_en.pdf [cited 6 January 2014]..
   Google Scholar
• Ministry of Health. Indicator and standard operating procedure manual. 2008. Available from: https://www.healthresearchweb.org/files/indicatorandSOPManual2008131008.pdf [cited 10 December 2013]..
   Google Scholar
• Boerma JT, Stansfield SK. Health statistics now: are we making the right investments?. Lancet. 2007; 369: 779–86.
   PubMed Web of Science ®Google Scholar
• Ministry of Health. Strategic plan for the Health Information System Department. 2009. Available from: http://chs.health.go.ke/images/pdf/health_sector_strategic_plan_for_health_information_system2009-2014.pdf [cited 14 December 2013]..
   Google Scholar
• English M, Gathara D, Mwinga S, Ayieko P, Opondo C, Aluvaala J, etal. Adoption of recommended practices and basic technologies in a low-income setting. Arch Dis Child. 2014; 99: 452–6.
   PubMed Web of Science ®Google Scholar
• Gathara D, Opiyo N, Wagai J, Ntoburi S, Ayieko P, Opondo C, etal. Quality of hospital care for sick newborns and severely malnourished children in Kenya: a two-year descriptive study in 8 hospitals. BMC Health Serv Res. 2011; 11: 307.
   PubMed Web of Science ®Google Scholar
• Yusof MM, Papazafeiropoulou A, Paul RJ, Stergioulas LK. Investigating evaluation frameworks for health information systems. Int J Med Inform. 2008; 77: 377–85.
   PubMed Web of Science ®Google Scholar
• Odhiambo-Otieno GW. Evaluation criteria for district health management information systems: lessons from the Ministry of Health, Kenya. Int J Med Inform. 2005; 74: 31–8.
   PubMed Web of Science ®Google Scholar
• Ammenwerth E, Brender J, Nykänen P, Prokosch HU, Rigby M, Talmon J, etal. Visions and strategies to improve evaluation of health information systems. Reflections and lessons based on the HIS-EVAL workshop in Innsbruck. Int J Med Inform. 2004; 73: 479–91.
   PubMed Web of Science ®Google Scholar
• 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: 217–28.
   PubMed Web of Science ®Google Scholar
• Program HIS. DHIS 2 in action. 2013. Available from: http://www.dhis2.org/inaction [cited 13 November 2013]..
   Google Scholar
• AbouZahr C, Adjei S, Kanchanachitra C. From data to policy: good practices and cautionary tales. Lancet. 2007; 369: 1039–46.
   PubMed Web of Science ®Google Scholar
• Anema HA, Kievit J, Fischer C, Steyerberg EW, Klazinga NS. Influences of hospital information systems, indicator data collection and computation on reported Dutch hospital performance indicator scores. BMC Health Serv Res. 2013; 13: 212.
   PubMed Web of Science ®Google Scholar
• Chan M, Kazatchkine M, Lob-Levyt J, Obaid T, Schweizer J, Sidibe M, etal. Meeting the demand for results and accountability: a call for action on health data from eight global health agencies. PLoS Med. 2010; 7: e1000223.
   PubMed Web of Science ®Google Scholar
• OECD. Strengthening health information infrastructure for health care quality governance: good practices, new opportunities and data privacy protection challenges. 2013. Available from: http://www.oecd.org/els/health-systems/Strengthening-Health-Information-Infrastructure_Preliminary-version_2April2013.pdf [cited 1 February 2014]..
   Google Scholar
• Douglas GP, Killam WP, Hochgesang MS, Deula RA, Limbe W, Davis MK. Improving completeness, accuracy & timeliness of HIV voluntary counseling & testing client data in Malawi using touchscreen computers. AMIA Annu Symp Proc. 2005; 942.
   PubMedGoogle Scholar
• Bassi J, Lau F. Measuring value for money: a scoping review on economic evaluation of health information systems. J Am Med Inform Assoc. 2013; 20: 792–801.
   PubMed Web of Science ®Google Scholar
• Nash D, Elul B, Rabkin M, Tun M, Saito S, Becker M, etal. Strategies for more effective monitoring and evaluation systems in HIV programmatic scale-up in resource-limited settings: implications for health systems strengthening. J Acquir Immune Defic Syndr. 2009; 52: S58–62.
   PubMed Web of Science ®Google Scholar
• Braa J, Heywood A, Sahay S. Improving quality and use of data through data-use workshops: Zanzibar, United Republic of Tanzania. Bull World Health Organ. 2012; 90: 379–84.
   PubMed Web of Science ®Google Scholar
• AKHS Kenya, Policy Brief No.5: Best Practices in Community-Based Health Initiatives, in Leading the Information Revolution in Kwale District, C.H. Department, Ed. 2005; Aga Khan Health Services: Mombasa.
   Google Scholar
• World Health Organization. Everybody's business: strengthening health systems to improve health outcomes – WHO's framework for action. 2007. Available from: http://www.who.int/healthsystems/strategy/everybodys_business.pdf [cited 2 November 2013]..
   Google Scholar
• Malqvist M, Eriksson L, Nguyen TN, Fagerland LI, Dinh PH, Wallin L, etal. Unreported births and deaths, a severe obstacle for improved neonatal survival in low-income countries; a population based study. BMC Int Health Hum Rights. 2008; 8: 4.
   PubMedGoogle Scholar
• Mate KS, Bennett B, Mphatswe W, Barker P, Rollins N. Challenges for routine health system data management in a large public program to prevent mother-to-child HIV transmission in South Africa. PLoS One. 2009; 4: 12.
   Web of Science ®Google Scholar