BMC Medical Informatics and Decision Making

Table 1 Demographic Characteristics of Respondents

From: “Assessment of the social influence and facilitating conditions that support nurses’ adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model”

Parameter	Frequency(N = 660)	Percentage (%)
1. Age of Respondents
20–30 years	346	52.4
31–40 years	251	38
41–50 years	63	9.6
2. Gender
Male	256	38.8
Female	404	61.2
3. Professional Experience
0–5 years	317	48.03
6–10 years	163	24.70
11–15 years	92	13.94
16–20 years	76	11.52
21–25 years	12	1.81
4. *Type of Nurse*
Staff Nurse	386	58.4
Nursing Officer	206	31.2
Emergency Nurse	58	8.8
Critical Nurse	5	0.8
Pre-Operative Nurse	5	0.8
*5. Voluntariness*
Completely not voluntary	173	26.2
Not Voluntary	328	49.7
Somewhat not voluntary	47	7.1
Neutral	31	4.7
Somewhat voluntary	31	4.7
Voluntary	43	6.5
Completely voluntary	7	1.1
*6. Type of HEIMS used*
LHIMS	488	73.9
HAMS	172	26.1

NB: LHIMS – Lightwave Health Information Management Systems, HAMS – Hospital Administration Management Systems

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ISSN: 1472-6947

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