Evidence map›Paper›PMID 32581615›Full record

ArticleRisk management and healthcare policy2020

Using the Delphi Method to Identify Risk Factors Contributing to Adverse Events in Residential Aged Care Facilities.

Chunhong Shi, Yinhua Zhang, Chunyan Li, Pan Li, Haili Zhu

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 55 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

5 authors at 3 institutions in 1 country.

Chunhong ShiNursing Department, XiangNan University, Chenzhou 423000, People's Republic of China.ORCID 0000-0002-2633-221X
Yinhua ZhangNursing Department, Hunan University of Chinese Medicine, Changsha 410208, People's Republic of China.ORCID 0000-0001-7418-156X
Chunyan LiNursing Department, XiangNan University, Chenzhou 423000, People's Republic of China.
Pan LiNursing Department, XiangNan University, Chenzhou 423000, People's Republic of China.
Haili ZhuNursing Department, Hunan Academy of Traditional Chinese Medicine Affiliated Hospital, Changsha, 410006, People's Republic of China.
Xiangnan University · CNHunan Academy of Traditional Chinese Medicine · CNHunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to identify risk factors associated with adverse events in residential aged care facilities in China. PATIENTS AND

methodsAfter compiling a list of risk factors for adverse events generated from in-depth interviews with managers of residential aged care facilities, a three-round Delphi method was used to reach consensus. The synthesized risk factors were presented on a Likert scale to the expert panelists three times to validate their responses.

resultsThe list identified 67 items as risk factors for adverse events, attached to four first-level indexes (ie, environmental facility, nursing staff, older adults' characteristics, and management factors). The experts' authority coefficient was 0.87. The positive coefficients were 82.76%, 91.67%, and 100%, and the coordination coefficients were 0.154, 0.297, and 0.313 in the first, second, and third rounds, respectively.

conclusionUsing a Delphi method, this study established a consensus on risk factors contributing to adverse events and developed a risk assessment grade for use in future aged care practice and research. The resulting list is useful in prioritizing risk-reduction activities and assessing intervention or education strategies for preventing adverse events in residential aged care facilities. IMPACT: This study fills the gap in risk identification in the Chinese residential aged care system to ensure provision of best-practice care to this vulnerable population. Nursing staff and management factors at the top of the list are not only the most common causes of adverse events but also the core elements in creating a secure and error-free environment. This list was intended to support predictive and prevention-oriented decision-making by managers and nursing supervisors to reduce preventable adverse events.

Indexed as

adverse eventsAged careDelphi surveyresidential aged care facilitiesrisk factors

Identifiers

PMID32581615
PMCPMC7281847
OpenAlexW3033260967

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.