Evidence map›Paper›PMID 33791501›Full record

ArticleFuture healthcare journal2021

Older people and technology: Time to smarten up our act.

Hanad Ahmed, Iqraa Haq, Ammar Rahman, Emma Tonner, Rami Abbass, Faraz Sharif, Shad Asinger, Magda Sbai

Open access · diamondAbstract read
In one paragraph

Article in Future healthcare journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
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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

8 authors at 4 institutions in 1 country.

Hanad AhmedUniversity of Southampton, Southampton UK and Imperial College London, London, UK.
Iqraa HaqImperial College London, London, UK.
Ammar RahmanImperial College London, London, UK.
Emma TonnerUniversity of Leeds, Leeds, UK and Imperial College London, London, UK.
Rami AbbassImperial College London, London, UK.
Faraz SharifImperial College London, London, UK.
Shad AsingerImperial College London, London, UK.
Magda SbaiGuy's and St Thomas' NHS Foundation Trust, London, UK.
Imperial College London · GBThe London College · GBGuy's and St Thomas' NHS Foundation Trust · GBUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The NHS faces challenges today that it was not designed to tackle at its conception in 1948. The UK demographic has changed considerably with higher life expectancy and 'an ageing population'. Keeping this demographic healthy through prevention and management of age-related degeneration is crucial to their independence and improving resource utilisation. The Department of Health and Social Care's agenda for digital transformation of the NHS is facilitating a move towards preventative healthcare and greater community care, which will likely be supported by virtual healthcare delivery models. Despite views on digital illiteracy in the older population, this demographic may stand to benefit the most. Research has shown that the older demographic adopts technology in line with the technology acceptance model if their needs are carefully considered. Executed successfully, the deployment of virtual healthcare could save transformational costs to the NHS and support better quality of life for the senior members of society. This is particularly relevant in the current COVID-19 pandemic with patients facing challenges in accessing outpatient appointments. With many hospitals kickstarting virtual outpatient clinics to ensure continuity of care during a time of social isolation; we await to see the ingenuities that arise from the current pandemic.

Indexed as

older populationtechnologyvirtual care

Identifiers

PMID33791501
PMCPMC8004302
OpenAlexW3139268550

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.