Evidence map›Paper›PMID 33588829›Full record

ArticleBMC health services research2021

Patient preferences for using technology in communication about symptoms post hospital discharge.

Kim E Alexander, Theodora Ogle, Hana Hoberg, Libbie Linley, Natalie Bradford

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
10.4field-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

17 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Impact of Emerging Technologies on Outpatient Care Quality: Mixed Methods Study.JMIR rehabilitation and assistive technologies · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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 2 institutions in 1 country.

Kim E AlexanderQueensland University of Technology (QUT), Centre for Healthcare Transformation, Cancer & Palliative Care Outcomes Centre, Brisbane, Australia. k.alexander@qut.edu.au.ORCID http://orcid.org/0000-0003-3906-2412
Theodora OgleQueensland University of Technology (QUT), Centre for Healthcare Transformation, Cancer & Palliative Care Outcomes Centre, Brisbane, Australia.
Hana HobergQueensland University of Technology (QUT), Centre for Healthcare Transformation, Cancer & Palliative Care Outcomes Centre, Brisbane, Australia.
Libbie LinleySt Vincent's Private Hospital Northside, Brisbane, Australia.
Natalie BradfordQueensland University of Technology (QUT), Centre for Healthcare Transformation, Cancer & Palliative Care Outcomes Centre, Brisbane, Australia.
Queensland University of Technology · AUSt Vincent’s Private Hospital Brisbane · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnology is increasingly transforming the way we interact with others and undertake activities in our daily lives. The healthcare setting has, however, not yet realised the potential of technology solutions to facilitate communication between patients and healthcare providers. While the procedural and policy requirements of healthcare systems will ultimately drive such solutions, understanding the preferences and attitudes of patients is essential to ensure that technology implemented in the healthcare setting facilitates communication in safe, acceptable, and appropriate ways. Therefore, the purpose of this study was to examine patient preferences for using technology to communicate with health service providers about symptoms experienced following discharge from the hospital.

methodsPrimary data were collected from patients admitted to a large metropolitan hospital in Australia during three consecutive months in 2018. Participants were asked about their daily use of technology including use of computers, email, phone, text messaging, mobile applications, social media, online discussion forums, and videoconference. They were then asked about their use of technologies in managing their health, and preferences for use when communicating about symptoms with health service providers following discharge from hospital.

resultsFive hundred and twenty-five patients with a wide range of differing clinical conditions and demographics participated. Patients indicated they used a range of technologies in their everyday lives and to manage their health. Almost 60% of patients would prefer to return to hospital if they were experiencing symptoms of concern. However, if patients experienced symptoms that were not of concern, over 60% would prefer to communicate with the hospital via telephone or using technology. Admitting condition, income, and age were significantly associated with preferences for communication about symptoms following hospital discharge.

conclusionsPatients have varied preferences for communicating with their health service providers post-hospital discharge. Findings suggest that some, but not all patients, would prefer to use technology to traditional methods of communicating with the healthcare team. Health services should offer patients multiple options for communicating about their recovery to ensure individual needs are appropriately met.

Indexed as

Patient DischargePatient PreferenceTechnologyAdolescentAdultAgedAged, 80 and overAustraliaCommunicationFemaleHospitalsHumansMaleMiddle AgedYoung AdultCommunicationDigital healthHealth servicesMobile applicationsPatient dischargePatient preferenceSymptomsTechnologyText messagingVideoconferencing

Identifiers

PMID33588829
PMCPMC7882859
OpenAlexW3132912928

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.