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Table 1 Study facilities performance (Top: best, average and poor) and characteristics

From: Users’ perception on factors contributing to electronic medical records systems use: a focus group discussion study in healthcare facilities setting in Kenya

Facility performance position*

County no

Weighted mean** (%)

Keph level

Facility_type_category

Owner type

EMRs implementation dates

Services

EMRs mode

1

044

65

Level 2

MEDICAL CLINIC

NGO

12.03.2014

CT&IL

POC

2

042

62

Level 4

HOSPITALS

MoH

01.12.2018

CT

HYBRID

3

039

62

Level 4

HOSPITALS

MoH

27.09.2013

CT

HYBRID

4

042

61

Level 4

HOSPITALS

MoH

01.09.2018

CT&IL

POC

5

042

61

Level 3

HEALTH CENTRE

MoH

01.02.2013

CT

HYBRID

6

029

61

Level 3

HEALTH CENTRE

MoH

04.07.2013

CT

RDE

92

043

41

Level 3

HEALTH CENTRE

MoH

18.09.2014

CT&HTS&IL

HYBRID

93

045

40

Level 4

HOSPITALS

MoH

02.07.2013

CT

RDE

94

037

40

Level 4

HOSPITALS

MoH

25.09.2013

CT

POC

95

018

40

Level 3

HEALTH CENTRE

MoH

26.05.2014

CT

HYBRID

96

045

39

Level 3

HEALTH CENTRE

MoH

24.06.2014

CT

RDE

97

038

39

Level 3

HEALTH CENTRE

MoH

04.08.2014

CT

HYBRID

98

023

39

Level 2

DISPENSARY

FBO

23.07.2013

CT

RDE

207

037

12

Level 3

HEALTH CENTRE

MoH

20.08.2014

CT

HYBRID

208

038

12

Level 3

HEALTH CENTRE

MoH

10.06.2013

CT

HYBRID

209

037

10

Level 3

HEALTH CENTRE

MoH

20.08.2014

CT

HYBRID

210

029

10

Level 3

HOSPITALS

MoH

10.12.2013

CT

RDE

211

038

10

Level 3

HEALTH CENTRE

MoH

17.04.2014

CT

RDE

212

022

9

Level 2

DISPENSARY

FBO

06.11.2013

CT&HTS

HYBRID

213

029

9

Level 4

HOSPITALS

MoH

19.12.2012

CT

POC

  1. Keph Kenya essential package for health, NGO non governmental organization, MoH Ministry of Health, FBO Faith Based Organization, CT-Care and Treatment, HTS HIV counselling and Testing services, POC point of care, RDE Retrospective data entry, IL interoperability layer
  2. *Positions 1–6: best performing, 92–98: average performing and 207–213: poor performing gauged by **Weighted means of Staff system use and Patient identification ‘EMRs use’ indicators for the study period 2012–2019. Weighted mean were computed as follows: The two indicators assumed a weighting mean of 1, hence each was assigned a weight of 0.5 in order to have an unbiased mean. A summation of the weighted mean of the mean scores of the two indicators for each facility were then computed and finally ranked in descending order. The two indicators were chosen because they are the key variables that demonstrate EMRs utilization in the healthcare facilities [30]