Evidence map›Paper›PMID 33599282›Full record

SynthesisThe Cochrane database of systematic reviews2021

Healthcare stakeholders' perceptions and experiences of factors affecting the implementation of critical care telemedicine (CCT): qualitative evidence synthesis.

Andreas Xyrichis, Katerina Iliopoulou, Nicola J Mackintosh, Suzanne Bench, Marius Terblanche, Julia Philippou, Jane Sandall

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Andreas XyrichisFlorence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK.
Katerina IliopoulouFlorence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK.
Nicola J MackintoshSAPPHIRE, Department of Health Sciences, College of Life Sciences, University of Leicester, Leicester, UK.
Suzanne BenchSchool of Health and Social Care, London South Bank University, London, UK.
Marius TerblancheCritical Care Medicine/ Division of Health and Social Care Research, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Julia PhilippouFlorence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK.
Jane SandallDepartment of Women and Children's Health, School of Life Course Science, Faculty of Life Sciences & Medicine, King's College London, London, UK.
King's College London · GBFlorence Nightingale Foundation · GBGuy's and St Thomas' NHS Foundation Trust · GBLondon South Bank University · GBUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCritical care telemedicine (CCT) has long been advocated for enabling access to scarce critical care expertise in geographically-distant areas. Additional advantages of CCT include the potential for reduced variability in treatment and care through clinical decision support enabled by the analysis of large data sets and the use of predictive tools. Evidence points to health systems investing in telemedicine appearing better prepared to respond to sudden increases in demand, such as during pandemics. However, challenges with how new technologies such as CCT are implemented still remain, and must be carefully considered.

objectivesThis synthesis links to and complements another Cochrane Review assessing the effects of interactive telemedicine in healthcare, by examining the implementation of telemedicine specifically in critical care. Our aim was to identify, appraise and synthesise qualitative research evidence on healthcare stakeholders' perceptions and experiences of factors affecting the implementation of CCT, and to identify factors that are more likely to ensure successful implementation of CCT for subsequent consideration and assessment in telemedicine effectiveness reviews. SEARCH

methodsWe searched MEDLINE, Embase, CINAHL, and Web of Science for eligible studies from inception to 14 October 2019; alongside 'grey' and other literature searches. There were no language, date or geographic restrictions. SELECTION CRITERIA: We included studies that used qualitative methods for data collection and analysis. Studies included views from healthcare stakeholders including bedside and CCT hub critical care personnel, as well as administrative, technical, information technology, and managerial staff, and family members. DATA COLLECTION AND ANALYSIS: We extracted data using a predetermined extraction sheet. We used the Critical Appraisal Skills Programme (CASP) qualitative checklist to assess the methodological rigour of individual studies. We followed the Best-fit framework approach using the Consolidated Framework for Implementation Research (CFIR) to inform our data synthesis.  We classified additional themes not captured by CFIR under a separate theme. We used the GRADE CERQual approach to assess confidence in the findings. MAIN

resultsWe found 13 relevant studies. Twelve were from the USA and one was from Canada. Where we judged the North American focus of the studies to be a concern for a finding's relevance, we have reflected this in our assessment of confidence in the finding. The studies explored the views and experiences of bedside and hub critical care personnel; administrative, technical, information technology, and managerial staff; and family members. The intensive care units (ICUs) were from tertiary hospitals in urban and rural areas. We identified several factors that could influence the implementation of CCT. We had high confidence in the following findings: Hospital staff and family members described several advantages of CCT. Bedside and hub staff strongly believed that the main advantage of CCT was having access to experts when bedside physicians were not available. Families also valued having access to critical care experts. In addition, hospital staff described how CCT could support clinical decision-making and mentoring of junior staff.  Hospital staff greatly valued the nature and quality of social networks between the bedside and CCT hub teams. Key issues for them were trust, acceptance, teamness, familiarity and effective communication between the two teams. Interactions between some bedside and CCT hub staff were featured with tension, frustration and conflict. Staff on both sides commonly described disrespect of their expertise, resistance and animosity. Hospital staff thought it was important to promote and offer training in the use of CCT before its implementation. This included rehearsing every step in the process, offering staff opportunities to ask questions and disseminating learning resources. Some also complained that experienced staff were taken away from bedside care and re-allocated to the CCT hub team. Hospital staff's attitudes towards, knowledge about and value placed on CCT influenced acceptance of CCT. Staff were positive towards CCT because of its several advantages. But some were concerned that the CCT hub staff were not able to understand the patient's situation through the camera. Some were also concerned about confidentiality of patient data. We also identified other factors that could influence the implementation of CCT, although our confidence in these findings is moderate or low. These factors included the extent to which telemedicine software was adaptable to local needs, and hub staff were aware of local norms; concerns about additional administrative work and cost; patients' and families' desire to stay close to their local community; the type of hospital setting; the extent to which there was support from senior leadership; staff access to information about policies and procedures; individuals' stage of change; staff motivation, competence and values; clear strategies for staff engagement; feedback about progress; and the impact of CCT on staffing levels. AUTHORS'

conclusionsOur review identified several factors that could influence the acceptance and use of telemedicine in critical care. These include the value that hospital staff and family members place on having access to critical care experts, staff access to sufficient training, and the extent to which healthcare providers at the bedside and the critical care experts supporting them from a distance acknowledge and respect each other's expertise. Further research, especially in contexts other than North America, with different cultures, norms and practices will strengthen the evidence base for the implementation of CCT internationally and our confidence in these findings. Implementation of CCT appears to be growing in importance in the context of global pandemic management, especially in countries with wide geographical dispersion and limited access to critical care expertise. For successful implementation, policymakers and other stakeholders should consider pre-empting and addressing factors that may affect implementation, including strengthening teamness between bedside and hub teams; engaging and supporting frontline staff; training ICU clinicians on the use of CCT prior to its implementation; and ensuring staff have access to information and knowledge about when, why and how to use CCT for maximum benefit.

Indexed as

Stakeholder ParticipationCanadaCritical CareFamilyHealth Services AccessibilityHumansIntensive Care UnitsPersonnel Administration, HospitalPersonnel, HospitalQualitative ResearchSocial NetworkingTelemedicineUnited States

Identifiers

PMID33599282
PMCPMC8097132
OpenAlexW2769400559

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.