FACTORS RELATED TO QUALITY DATA WHICH DETERMINEHEALTH INFORMATION UTILIZATION IN MAKING DECISION AMONG HEALTHCARE MANAGERS IN MOMBASA COUNTY, KENYA
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Date
2020Author
Otieno, Moses Ochieng
Muiruri, Lillian
Kawila, Dr. Caroline
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
Purpose:This  was  a  study  based  onHealth  Information  Systems  pillar.The  study  sought  toexplore  factors  related  toqualitydatawhich  influence  health  information  utilization  in  makingdecisionamong healthcare managers in Mombasa County.Methodology:This  was  a  Descriptive  Survey  Study  design  where  desired  data  was  obtained from selectedrespondents by semi-structured questionnaires. The research targeted a total of 303 healthcare  managers  in  Mombasa  County  which  comprised  of  21  County  Health  Management Team  (CHMT)  members,  56  Sub-county  Health  Management  Team  (SCHMT)  members  from the four sub-counties, 43 facility  In-Charges from the 43 public health facilities and 183 Heads of  Departments  (HODs).A  sample  size  of91  healthcare  managerswas  used  in  the  study.  This was  30%  of  the  target  population and  were  randomly  selected.  Aresponse  rate  of  98.9% wasachieved. Descriptive  and  Inferential  analysis  was  done. Data  was  analyzed  with  SPSS  version 23.Findings:Resultsrevealed  that quality data factors(β4=  0.298;  t  =  4.079;  p  <  0.01) were significant  predictors  ofhealth information  utilization  in  making  decision  among  healthcare managers  in  Mombasa  County. These  results  imply  that  improvement  inthese  variables(dataaccuracy,  completenessand  timeliness)will  enhance  health  information  utilization. How  these variables  are  accomplished  influence  the  level  of  health  information  utilization  in  making decision.Unique  contribution  to  theory,  practice  and  policy:When  the  study  recommendations  are implemented, there will be assured qualitydata which will assist in coming up with the design of disease prevention, interventions and to monitor and evaluate the progress made on the measures put  in  place. By  doing  so, the  study  will  have  validated  the  theory  of  Evidence  Based  Health Information  System  by  Carbone,  (2009),  on  which  the  study  was  anchored.Quality  data  is, therefore,   not   only   crucial   in   securing   health   status   description,   service   coverage,   and performance,  but  also  inspires  confidence  in  the  HISamong  healthcare  managers. The  study recommends  thatthe  MOH introducesHMIS as  a  subject in  the  pre-service  curriculum  of  all healthcare  cadres in  order  to  improve  HIS.Mombasa  County  Governmentshould  ensure  that qualitydatais generated (with regards toaccuracy, completeness and timeliness) at all levels of the  health  systemsfor purposes  of  accountability  and more  importantly  its  utility  to  improve healthcare programs, to survive and prosper in the current dynamic healthcare environment.
URI
https://ajpojournals.org/journals/index.php/AJPPA/article/view/523/649http://repository.kemu.ac.ke/handle/123456789/1199
Publisher
American Journal of Public Policy and Administration
