Evidence map›Paper›PMID 34264193›Full record

ArticleJournal of medical Internet research2021

How Patient Work Changes Over Time for People With Multimorbid Type 2 Diabetes: Qualitative Study.

Kathleen Yin, Joshua Jung, Enrico Coiera, Kenneth W K Ho, Sanjyot Vagholkar, Ann Blandford, Frances Rapport, Annie Y S Lau

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Kathleen YinCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0001-8004-9805
Joshua JungCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0002-2210-1895
Enrico CoieraCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0002-6444-6584
Kenneth W K HoFaculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia.ORCID 0000-0003-2522-5559
Sanjyot VagholkarFaculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia.ORCID 0000-0002-1002-3623
Ann BlandfordUCL Interaction Centre, University College London, London, United Kingdom.ORCID 0000-0002-3198-7122
Frances RapportCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID 0000-0002-4428-2826
Annie Y S LauCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0002-3028-4222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe experiences of patients change throughout their illness trajectory and differ according to their medical history, but digital support tools are often designed for one specific moment in time and do not change with the patient as their health state changes. This presents a fragmented support pattern where patients have to move from one app to another as they move between health states, and some subpopulations of patients do not have their needs addressed at all.

objectiveThis study aims to investigate how patient work evolves over time for those living with type 2 diabetes mellitus and chronic multimorbidity, and explore the implications for digital support system design.

methodsIn total, 26 patients with type 2 diabetes mellitus and chronic multimorbidity were recruited. Each interview was conducted twice, and interviews were transcribed and analyzed according to the Chronic Illness Trajectory Model.

resultsFour unique illness trajectories were identified with different patient work goals and needs: living with stable chronic conditions involves patients seeking to make patient work as routinized and invisible as possible; dealing with cycles of acute or crisis episodes included heavily multimorbid patients who sought support with therapy adherence; responding to unstable changes described patients currently experiencing rapid health changes and increasing patient work intensity; and coming back from crisis focused on patients coping with a loss of normalcy.

conclusionsPatient work changes over time based on the experiences of the individual, and its timing and trajectory need to be considered when designing digital support interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2018-022163.

Indexed as

Diabetes Mellitus, Type 2MultimorbidityChronic DiseaseHumansQualitative Researchchronic conditionschronic illness trajectoryconsumer informaticsdiabetespatient workself-management

Identifiers

PMID34264193
PMCPMC8323019

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.