Evidence map›Paper›PMID 31115766›Full record

ArticleJournal of cancer survivorship : research and practice2019

An ecological momentary assessment of self-management in prostate cancer survivors.

Catherine Paterson

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2019. 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
0.5field-weighted citation impact, top 32% 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, 13 citations in OpenAlex.

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  4. Review
  5. Review
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

1 author at 1 institution in 2 countries.

Catherine PatersonSchool of Nursing, Midwifery and Public Health, University of Canberra, Canberra, ACT, Australia. catherine.paterson@canberra.edu.au.ORCID 0000-0002-1249-6782
University of Canberra · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the 'real-time' self-management strategies employed by prostate cancer survivors to inform personalised supportive care interventions in the future.

methodA purposive sampling framework was used to recruit men with different stages of cancer and treatment to an ecological momentary assessment (capturing experiences in real time) study. Each participant was prompted by an audio alert to complete self-report questionnaires three times per day (93 data entries in total) for a total duration of 31 days. The personal digital assistant (PDA) and pocket interview software were used.

resultsProstate cancer survivors experienced a wide range of after-effects of therapy for which they used various self-management strategies. Many of the men experienced sexual dysfunction but did not perform any self-management.

conclusionOur findings reinforce the importance of having access to tailored, timely and person-centred supported self-management care plans. Real-time monitoring data can provide helpful information to facilitate tailored recommendations for self-management. IMPLICATIONS FOR CANCER SURVIVORS: Prostate cancer survivors can experience unmet supportive care needs which may increase men's demands to perform self-management of their condition. Future clinical intervention studies aimed at utilising the remote exchange of real-time data serves to optimise tailored supported self-management.

Indexed as

Cancer SurvivorsEcological Momentary AssessmentHumansMaleMiddle AgedProstatic NeoplasmsQuality of LifeSelf-ManagementSurveys and QuestionnairesEcological momentary assessmentMobile technologyProstate cancerReal timeSelf-managementSupportive care

Identifiers

PMID31115766
OpenAlexW2945675420

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.