PMID- 31799934
OWN - NLM
STAT- MEDLINE
DCOM- 20200710
LR  - 20200710
IS  - 1438-8871 (Electronic)
IS  - 1439-4456 (Print)
IS  - 1438-8871 (Linking)
VI  - 21
IP  - 12
DP  - 2019 Dec 4
TI  - Attitudes Toward Health Care Virtual Communities of Practice: Survey Among Health 
      Care Workers.
PG  - e15176
LID - 10.2196/15176 [doi]
LID - e15176
AB  - BACKGROUND: Virtual communities of practice (VCoPs) have been shown to be an 
      effective means for knowledge and research uptake, but little is known about why 
      health care workers choose to use them. The elaboration likelihood model (ELM) is 
      a theoretical model of persuasion that distinguishes between different routes of 
      information processing that influence attitude formation and change. To date, no 
      research has investigated the antecedents to these processing routes for VCoPs 
      within a health care setting. In understanding these determinants, VCoPs can be 
      appropriately designed to increase their chances of use and value among health 
      care professionals. OBJECTIVE: Our aim is to explore how motivation and ability 
      affect attitudes toward using VCoPs for those working in health care. METHODS: 
      Data were collected from 86 health care workers using an online survey at two 
      Canadian health care conferences. Participants were shown a mock VCoP and asked 
      about their perceptions of the online platform and related technologies. The 
      survey instrument was developed based on previously validated scales to measure 
      participants' ability and motivation toward using a VCoP. Attitudes were assessed 
      both at the beginning and end of the study; intention to use the platform was 
      assessed at the end. RESULTS: Ability (expertise with CoPs and VCoPs) was found 
      to directly affect intention to use the system (P<.001 and P=.009, respectively) 
      as was motivation (P<.001). Argument quality had the greatest effect on formed 
      attitudes toward VCoPs, regardless of the user's level of experience (lower 
      expertise: P=.04; higher expertise: P=.003). Those with higher levels of CoPs 
      expertise were also influenced by peripheral cues of source credibility (P=.005 
      for attitude formation and intention to use the system) and connectedness (P=.04 
      for attitude formation; P=.008 for intention to use the system), whereas those 
      with lower levels of CoP expertise were not (P>.05). A significant correlation 
      between formed attitude and intention to use the VCoPs system was found for those 
      with higher levels of expertise (P<.001). CONCLUSIONS: This research found that 
      both user ability and motivation play an important and positive role in the 
      attitude toward and adoption of health care VCoPs. Unlike previous ELM research, 
      evidence-based arguments were found to be an effective messaging tactic for 
      improving attitudes toward VCoPs for health care professionals with both high and 
      low levels of expertise. Understanding these factors that influence the attitudes 
      of VCoPs can provide insight into how to best design and position such systems to 
      encourage their effective use among health care professionals.
CI  - (c)Nicole Yada, Milena Head. Originally published in the Journal of Medical 
      Internet Research (http://www.jmir.org), 04.12.2019.
FAU - Yada, Nicole
AU  - Yada N
AUID- ORCID: 0000-0001-9409-7613
AD  - DeGroote School of Business, McMaster University, Hamilton, ON, Canada.
FAU - Head, Milena
AU  - Head M
AUID- ORCID: 0000-0002-4329-3654
AD  - DeGroote School of Business, McMaster University, Hamilton, ON, Canada.
LA  - eng
PT  - Journal Article
DEP - 20191204
PL  - Canada
TA  - J Med Internet Res
JT  - Journal of medical Internet research
JID - 100959882
SB  - IM
MH  - Adult
MH  - *Attitude of Health Personnel
MH  - Canada
MH  - Community Health Services
MH  - Female
MH  - *Health Personnel
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - *Practice Patterns, Physicians'
MH  - Surveys and Questionnaires
MH  - *Telemedicine
PMC - PMC6920901
OTO - NOTNLM
OT  - digital health
OT  - eHealth
OT  - elaboration likelihood model
OT  - implementation science
OT  - knowledge translation
OT  - technology adoption
OT  - virtual community of practice
COIS- Conflicts of Interest: None declared.
EDAT- 2019/12/05 06:00
MHDA- 2020/07/11 06:00
PMCR- 2019/12/04
CRDT- 2019/12/05 06:00
PHST- 2019/06/25 00:00 [received]
PHST- 2019/10/31 00:00 [accepted]
PHST- 2019/08/13 00:00 [revised]
PHST- 2019/12/05 06:00 [entrez]
PHST- 2019/12/05 06:00 [pubmed]
PHST- 2020/07/11 06:00 [medline]
PHST- 2019/12/04 00:00 [pmc-release]
AID - v21i12e15176 [pii]
AID - 10.2196/15176 [doi]
PST - epublish
SO  - J Med Internet Res. 2019 Dec 4;21(12):e15176. doi: 10.2196/15176.