Users' attitudes to an electronic medical record system and its correlates: a multivariate analysis.
Implementation of an electronic medical record (EMR) system increases efficiency of health services, quality of care and patient satisfaction. Successful implementation depends on many factors, one of which is how users respond to the new system. We studied medical receptionists' appraisal of the newly implemented EMR system in primary healthcare centres in Kuwait. Four hundred receptionists were selected randomly from different healthcare centres and asked to complete a user interaction satisfaction questionnaire relating to their experience of the new system. The response rate was 80.5%. A large majority of the respondents considered the system to be flexible (83%), easy (89%), and satisfying (81%). However, more than one third of the respondents (36%) found the system inadequate. Bivariate and multivariate analyses found age, typing ability, ease of data entry and computer error as significant correlates with overall user response. These findings relating to users' reactions to various aspects of the EMR should assist policymakers to recognise the causes of dissatisfaction with the EMR among medical receptionists at health centre clinics that may adversely affect its successful implementation and regular use, as well as the quality of care provided by the clinics. In addition, the findings provide information to assist the development of guidelines for future implementation of the EMR system at the secondary healthcare level.
Al-Azmi
Saadoun Faris
SF
Department of Medical Records, College of Health Sciences, The Public Authority for Applied Education and Training, State of Kuwait, Kuwait.
Al-Enezi
Naser
N
Chowdhury
Rafiq I
RI
D000328:Adult; D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D004522:Educational Status; D057286:Electronic Health Records / Q000458:organization & administration* / Q000592:standards; D005260:Female; D006801:Humans; D007407:Interviews as Topic; D007730:Kuwait; D016015:Logistic Models; D008297:Male; D008496:Medical Receptionists / Q000523:psychology* / Q000706:statistics & numerical data; D015999:Multivariate Analysis; D016012:Poisson Distribution; D011320:Primary Health Care / Q000379:methods* / Q000639:trends; D011795:Surveys and Questionnaires; D000078329:Workforce; D055815:Young Adult