Evidence map›Paper›PMID 33027034›Full record

ArticleJMIR research protocols2020

Video Consultations for Older Adults With Multimorbidity During the COVID-19 Pandemic: Protocol for an Exploratory Qualitative Study.

Eng Sing Lee, Poay Sian Sabrina Lee, Evelyn Ai Ling Chew, Gayathri Muthulingam, Hui Li Koh, Shu Yun Tan, Yew Yoong Ding

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. 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
1.0field-weighted citation impact, top 22% 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, 7 citations in OpenAlex.

  1. Article
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  5. Observational
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 1 institution in 1 country.

Eng Sing LeeClinical Research Unit, National Healthcare Group Polyclinics, Singapore, Singapore.ORCID https://orcid.org/0000-0003-4963-535X
Poay Sian Sabrina LeeClinical Research Unit, National Healthcare Group Polyclinics, Singapore, Singapore.ORCID https://orcid.org/0000-0002-4660-514X
Evelyn Ai Ling ChewClinical Research Unit, National Healthcare Group Polyclinics, Singapore, Singapore.ORCID https://orcid.org/0000-0003-3837-2195
Gayathri MuthulingamClinical Research Unit, National Healthcare Group Polyclinics, Singapore, Singapore.ORCID https://orcid.org/0000-0002-9308-4930
Hui Li KohClinical Research Unit, National Healthcare Group Polyclinics, Singapore, Singapore.ORCID https://orcid.org/0000-0002-9093-7707
Shu Yun TanClinical Research Unit, National Healthcare Group Polyclinics, Singapore, Singapore.ORCID https://orcid.org/0000-0003-0307-9546
Yew Yoong DingGeriatric Education and Research Institute, Singapore, Singapore.ORCID https://orcid.org/0000-0002-3128-8954
Tan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity, the coexistence of multiple chronic conditions in an individual, is a growing public health challenge. Amidst the COVID-19 pandemic, physical distancing remains an indispensable measure to limit the spread of the virus. This pertains especially to those belonging to high-risk groups, namely older adults with multimorbidity. In-person visits are discouraged for this cohort; hence, there is a need for an alternative form of consultation such as video consultations to continue the provision of care.

objectiveThe potential of video consultations has been explored in several studies. However, the emergence of COVID-19 presents us with an unprecedented opportunity to explore the use of this technological innovation in a time when physical distancing is imperative. This study will evaluate the sustainability of video consultations on a micro-, meso-, and macro-level by assessing the views of patients, physicians, and organizational and national policymakers, respectively.

methodsThe NASSS (nonadoption, abandonment, scale-up, spread, and sustainability) framework was designed as a guide for the development of health care technologies. In this study, the implementation of and experiences related to video consultations will be studied using the NASSS framework. Individual in-depth interviews or focus group discussions will be conducted with participants using the Zoom platform. Data will be analyzed by at least two investigators trained in qualitative methodology, organized thematically, and coded in two phases-an initial phase and a focused selective phase. All disagreements will be resolved by consulting the larger research team until consensus is reached.

resultsThis study was approved for funding from the Geriatric Education and Research Institute. Ethics approval was obtained from the National Healthcare Group Domain Specific Review Board (reference #2020/00760). Study recruitment commenced in July 2020. The results of the data analysis are expected to be available by the end of the year.

conclusionsThis study aims to evaluate the adoption and sustainability of video consultations for older adults with multimorbidity during the pandemic as well as post COVID-19. The study will yield knowledge that will challenge the current paradigm on how care is being delivered for community-dwelling older adults with multimorbidity. Findings will be shared with administrators in the health care sector in order to enhance the safety and quality of these video consultations to improve patient care for this group of population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/22679.

Indexed as

chronic diseaseCOVID-19elderlyhigh riskmorbiditymultimorbidityolder adultsprotocolqualitativetelehealthtelemedicinevideo consultation

Identifiers

PMID33027034
PMCPMC7592461
OpenAlexW3093761879

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.