Evidence map›Paper›PMID 34893482›Full record

ArticleBMJ open2021

Evaluation of the implementation of information system for postdischarge with the theoretical domains framework by healthcare professionals: a multistage design with qualitative inquiry and Delphi expert discussion protocol.

Eliza Ly Wong, K S Tang, Dong Dong, Phoenix Kh Mo, Annie Wl Cheung, Jack Ch Lau, E K Yeoh

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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 2 institutions in 1 country.

Eliza Ly WongCentre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China lywong@cuhk.edu.hk.ORCID 0000-0001-9983-6219
K S TangHong Kong Hospital Authority, Hong Kong, China.
Dong DongCentre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Phoenix Kh MoCentre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Annie Wl CheungCentre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Jack Ch LauCentre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
E K YeohCentre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Chinese University of Hong Kong · HKHospital Authority · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImproving discharge information dissemination may improve patients' health literacy of self-care and health outcomes, avoid unnecessary healthcare utilisation, and reduce the healthcare cost. This study aims to use an implementation science theory guided approach to examine the beliefs and behaviours of healthcare professionals regarding postdischarge information summary (PDIS) implementation in a public inpatient setting. METHODS AND ANALYSIS: A multistage study design involving qualitative inquiry and Delphi expert discussion will be used to systematically explore the perceived barriers in the four implemented hospitals and enable the full implementation of the PDIS in geriatric and medical care. The theoretical domains framework (TDF), behavioural change wheel and realistic evaluation framework will be used to guide the investigation of implementation. This study consists of three steps: (1) identifying barriers and enablers from an implementation perspective using a TDF-informed interview guide; (2) devising theory-based implementation strategy packages to facilitate the adoption and enhancement of PDIS by performing a strategy mapping exercise and (3) developing an effective implementation strategy package for scaling up PDIS in other target hospitals as well as other specialities using the Delphi expert discussion. The goal of this multistage study design is to identify the perspectives from healthcare professionals towards the PDIS implementation and explore their barriers and facilitators of the process in the pilot phase. The invited healthcare professionals would share their daily experience on providing PDIS to patient in various study hospitals with similar ward setting. The implementation of discharge intervention in a study setting through different steps to aid in the exploration and development of the modified implementation strategies for the adoption and enhancement of PDIS in the discharge process. ETHICS AND DISSEMINATION: Ethics approval for the study was obtained from the Joint Chinese University of Hong Kong-New Territories East Cluster Clinical Research Ethics Committees. Results of the study would be released as a report submitted to the Health and Medical Research Fund of Food and Health Bureau of the Hong Kong Government. The result would also be published in international peer-reviewed medical journals and presented in conferences. TRIAL REGISTRATION NUMBER: ChiCTR2000034382.

Indexed as

AftercarePatient DischargeAgedDelivery of Health CareHumansInformation SystemsQualitative Researchgeriatric medicinehealth & safetyquality in health care

Identifiers

PMID34893482
PMCPMC8666896
OpenAlexW4200357032

What OpenQuestion holds

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LicenceCC BY-NC
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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.