##plugins.themes.bootstrap3.article.main##

The study sought to determine how data dissemination and use influence provision of curative and preventive tuberculosis healthcare in institutions of public health in Kisumu County, Kenya. The study focused on public health institutions that practices M&E system on provision of curative and preventive tuberculosis healthcare services. The study employed the use of pragmatism paradigm and a descriptive research design to collect both quantitative and qualitative data. A correlational design was used to test the hypothesis. A sample of 221 respondents was selected from a population of 517 using stratified random sampling. Data was collected using a structured questionnaire with both open and close ended with Likert type on 1-5 five point scale and interview schedule. Correlational design was used to test the hypothesis. Quantitative data was analyzed using descriptive and inferential statistics and data presented in frequency tables using means and standard deviations while qualitative data was presented in in narrative statements. Hypothesis was tested using linear regression at 0.05 level of significance to determine the degree and direction of relationships among the thematic area of the study. The reliability of the instruments was obtained using Cronbach Alpha coefficient of 0.735 for all items meaning that the instruments were reliable. The results showed that data dissemination and use and provision of curative and preventive tuberculosis health care services in public health institutions had [r2=0.186, p<0.05]. The results for quantitative data based on composite mean score of 3.91 and 0.466 standard deviation for this variable respectively. Therefore, data dissemination and use influence provision of curative and preventive tuberculosis healthcare services in public health institutions.

Downloads

Download data is not yet available.

References

  1. Agarwal, R., Chaturvedi, S., Chhillar, N., Goyal, R., Pant, I. and
     Google Scholar
  2. Tripathi, C.B. (2012). Role of Intervention on Laboratory
     Google Scholar
  3. Performance: Evaluation of Quality Indicators in a Tertiary Care
     Google Scholar
  4. Hospital. Indian Journal of Clinical Biochemistry, 27, 61-68.
     Google Scholar
  5. Aggrarwal, A. K. & Zairi, M. [1997]. The Role of Total Quality
     Google Scholar
  6. Management in Enabling. A Primary Health-Care Orientation. Quality
     Google Scholar
  7. Management, Vol.80
     Google Scholar
  8. Bossyns. P., Ranaou. A., Mahaman. S. A., Hamidou. M.,
     Google Scholar
  9. Anne-Marie. D. and Wim Van Lerberghe, (2006), Monitoring
     Google Scholar
  10. the Referral System of Data Benchmarking in Rural Niger: An
     Google Scholar
  11. Evaluation of the Functional Relation between Health Centres
     Google Scholar
  12. and the District Hospital. BMC Health Services Research2006,
     Google Scholar
  13. :51.
     Google Scholar
  14. Claude Shannon (1948), "A Mathematical Theory of Communication".
     Google Scholar
  15. Bell System Technical Journal. 27: 379–423, 623–656.
     Google Scholar
  16. David, D. [1999]. Impact of Formal Continuing Medical Education:
     Google Scholar
  17. MD, University of Toronto, 150 College St, Toronto, Ontario, Canada.
     Google Scholar
  18. Durham J. P. (2005), Communications as dissemination. University of
     Google Scholar
  19. Michigan.
     Google Scholar
  20. European Commission. [2008]. Joint Report on Social Protection and
     Google Scholar
  21. Social Inclusion. Brussels.
     Google Scholar
  22. Fazekas. M, Stefanie. E., Jennifer. N, Ellen. N, (2010). Framework for
     Google Scholar
  23. Assessing, Improving and Enhancing Health Service planning.
     Google Scholar
  24. RAND’s Publications.
     Google Scholar
  25. FDA. [2018]. Department of Health and Human Services. US.
     Google Scholar
  26. Global Health Education, (2017), A Health Innovation. Article: 1408359
     Google Scholar
  27. Guimaraes, A.C., Wolfart, M., Brisolara, M.L.L. and Dani, C. (2012),
     Google Scholar
  28. Causes of Rejection of Blood Samples Handled in the Clinical
     Google Scholar
  29. Laboratory of a University Hospital in Porto Alegre. Clinical
     Google Scholar
  30. Biochemistry, 45, 123-126.
     Google Scholar
  31. Houghton Mifflin, (2004), Medical Dictionary. Houghton Mifflin
     Google Scholar
  32. Company. The American Heritage.
     Google Scholar
  33. Institute of Medicine (2001), Crossing the Quality Chasm: A New
     Google Scholar
  34. Health System for the 21st Century. The National Academies Press, Washington, DC
     Google Scholar
  35. Jegede, F.E., Mbah, H.A., Aminu, M., Yakubu, T.N. and Torpey, K. (2015), Evaluation of Laboratory Performance with Quality Indicators in Infectious Disease Hospital, Kano, Nigeria. Open Journal of Clinical Diagnostics, 5, 1-9.
     Google Scholar
  36. Starfield, B., L. Shi & Mancinko. [2005]. Contribution of Primary Care to Health Systems and Health. Milbank Quarterly 83
     Google Scholar
  37. Teutsch and Churchill, (2000). Principle and Practices of Public Health Surveillance. Oxford University Press.
     Google Scholar
  38. United Nations, (2000), United millennium declaration, Resolution UN HQ New York.
     Google Scholar
  39. World Health Organization, (2017), Global Tuberculosis Control: Surveillance, Planning and Financing: WHO Report Geneva, Switzerland
     Google Scholar
  40. World Health Organization, (2011), Global Tuberculosis Report. Geneva.
     Google Scholar
  41. World Health Organization, (2008). Global Tuberculosis Control: Surveillance, Planning, Financing. Geneva.
     Google Scholar
  42. World Health Organization (2007), Everybody's Business: Strengthening Health Systems To Improve Health Outcomes. WHO's Framework For Action. Geneva.
     Google Scholar