Evidence map›Paper›PMID 28435231›Full record

ArticlePatient preference and adherence2017

Complexity of care and strategies of self-management in patients with colorectal cancer.

Dominik Ose, Eva C Winkler, Sarah Berger, Ines Baudendistel, Martina Kamradt, Felicitas Eckrich, Joachim Szecsenyi

Abstract read
In one paragraph

Article in Patient preference and adherence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Oncology nursing supporting cancer survivorship from diagnosis to discharge: A case exemplar.Canadian oncology nursing journal = Revue canadienne de nursing oncologique · 2025
    Article
  5. [Cross-sectoral care trajectories of patients with colorectal cancer in Saxony-Anhalt].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2024
    Article
  6. Article
  7. Influencing factors of self-management behavior in cancer patients based on a theoretical domain framework.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023
    Article
  8. Article
  9. Article
  10. Predictors of prostate cancer survivors' engagement in self-management behaviors.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2023
    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

7 authors.

Dominik OseDepartment of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany.
Eva C WinklerProgram for Ethics and Patient-oriented Care in Oncology, National Centre for Tumour Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Sarah BergerDepartment of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany.
Ines BaudendistelDepartment of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany.
Martina KamradtDepartment of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany.
Felicitas EckrichDepartment of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany.
Joachim SzecsenyiDepartment of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGiven the inherent complexity of cancer care, in which personal, social, and clinical aspects accumulate and interact over time, self-management support need to become more comprehensive. This study has the following two aims: 1) to analyze and describe the complexity of individual patient situations and 2) to analyze and describe already established self-management strategies of patients to handle this complexity.

methodsA qualitative study was conducted. Ten focus groups were performed collecting perspectives of the following three user groups: patients with colorectal cancer (n=12) and representatives from support groups (n=2), physicians (n=17), and other health care professionals (HCPs; n=16). Data were analyzed using qualitative content analysis.

resultsThe results showed that cancer patients are struggling with the complexity of their individual situations characterized by the 1) "complexity of disease", 2) "complexity of care", and 3) "complexity of treatment-related data". To deal with these multifaceted situations, patients have established several individual strategies. These strategies are "proactive demanding" (eg, to get support and guidance or a meaningful dialog with the doctor), "proactive behavior" (eg, preparation of visits), and "proactive data management" (eg, in terms of merging treatment-related data and to disseminate these to their health care providers).

conclusionPatients with colorectal cancer have to handle a high complexity of individual situations within treatment and care of their disease. Private and social challenges have a culminating effect. This complexity increases as patients experience a longer duration of treatment and follow-up as patients have to handle a significantly higher amount of data over time. Self-management support should focus more on the individual complexity in a patient's life. This includes assisting patients with strategies that have already been established by themselves (like preparation of visits).

Indexed as

chronic carecolorectal cancercomplexityhealth care utilizationhealth services researchself-management

Identifiers

PMID28435231
PMCPMC5391842

What OpenQuestion holds

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Registered trials

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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.