File(s) not publicly available
Handheld Computer Devices to Support Clinical Decision-making in Acute Nursing Practice: Systematic Scoping Review
journal contribution
posted on 2023-03-06, 04:30 authored by D Glanville, Ana HutchinsonAna Hutchinson, Damien KhawDamien KhawBACKGROUND: Nursing care is increasingly supported by computerized information systems and decision support aids. Since the advent of handheld computer devices (HCDs), there has been limited exploration of their use in nursing practice. OBJECTIVE: The study aimed to understand the professional and clinical impacts of the use of mobile health apps in nursing to assist clinical decision-making in acute care settings. The study also aimed to explore the scope of published research and identify key nomenclature with respect to research in this emerging field within nursing practice. METHODS: This scoping review involved a tripartite search of electronic databases (CINAHL, Embase, MEDLINE, and Google Scholar) using preliminary, broad, and comprehensive search terms. The included studies were hand searched for additional citations. Two researchers independently screened the studies for inclusion and appraised quality using structured critical appraisal tools. RESULTS: Of the 2309 unique studies screened, 28 (1.21%) were included in the final analyses: randomized controlled trials (n=3, 11%) and quasi-experimental (n=9, 32%), observational (n=10, 36%), mixed methods (n=2, 7%), qualitative descriptive (n=2, 7%), and diagnostic accuracy (n=2, 7%) studies. Studies investigated the impact of HCDs on nursing decisions (n=12, 43%); the effectiveness, safety, and quality of care (n=9, 32%); and HCD usability, uptake, and acceptance (n=14, 50%) and were judged to contain moderate-to-high risk of bias. The terminology used to describe HCDs was heterogenous across studies, comprising 24 unique descriptors and 17 individual concepts that reflected 3 discrete technology platforms ("PDA technology," "Smartphone/tablet technology," and "Health care-specific technology"). Study findings varied, as did the range of decision-making modalities targeted by HCD interventions. Interventions varied according to the level of clinician versus algorithmic judgment: unstructured clinical judgment, structured clinical judgment, and computerized algorithmic judgment. CONCLUSIONS: The extant literature is varied but suggests that HCDs can be used effectively to support aspects of acute nursing care. However, there is a dearth of high-level evidence regarding this phenomenon and studies exploring the degree to which HCD implementation may affect acute nursing care delivery workflow. Additional targeted research using rigorous experimental designs is needed in this emerging field to determine the true potential of HCDs in optimizing acute nursing care.
History
Journal
Journal of medical Internet researchVolume
25Pagination
e39987-Location
CanadaPublisher DOI
ISSN
1439-4456eISSN
1438-8871Language
enPublisher
JMIR Publications Inc.Usage metrics
Categories
No categories selectedKeywords
acute careclinical decision-makingdecision-makinghandheld computer devicesmobile computingmobile healthmobile phonenursingscoping reviewsmartphonesHumansComputers, HandheldMobile ApplicationsClinical Decision-MakingHealth ServicesClinical Research3 Good Health and Well BeingInformation and Computing SciencesMedical and Health SciencesPsychology and Cognitive Sciences
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC