Evidence map›Paper›PMID 22100962›Full record

Trial reportDiabetes care2012

Overwhelmed patients: a videographic analysis of how patients with type 2 diabetes and clinicians articulate and address treatment burden during clinical encounters.

Krista Bohlen, Elizabeth Scoville, Nathan D Shippee, Carl R May, Victor M Montori

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 9 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

57 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. The experience of financial burden for people with multimorbidity: A systematic review of qualitative research.Health expectations : an international journal of public participation in health care and health policy · 2021
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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

5 authors.

Krista BohlenKnowledge and Evaluation Research Unit, Division of Endocrinology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA. montori.victor@mayo.edu
Elizabeth Scoville
Nathan D Shippee
Carl R May
Victor M Montori

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients with diabetes may experience high burden of treatment (BOT), including treatment-related effects and self-care demands. We examined whether patients with type 2 diabetes and their clinicians discuss BOT, the characteristics of their discussions, and their attempts to address BOT during visits. RESEARCH DESIGN AND

methodsTwo coders independently reviewed videos of 46 primary care visits obtained during a practice-based trial and identified utterances concerning BOT, classifying them by topic and by whether BOT was addressed (i.e., whether statements emerged aimed at alleviating BOT).

resultsOf the 46 visits, 43 (93.5%) contained BOT discussions. Both coders identified 83 discussions: 12 involving monitoring, 28 treatment administration, 19 access, and 24 treatment effects. BOT was unambiguously addressed only 30% of the time.

conclusionsBOT discussions usually arise during visits but rarely beget problem-solving efforts. These discussions represent missed opportunities for reducing treatment-related disruptions in the lives of patients with diabetes, which may affect adherence and well-being.

Indexed as

Physician-Patient RelationsAdultCommunicationCost of IllnessDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPrimary Health CareQuality of LifeSelf CareVideo Recording

Identifiers

PMID22100962
PMCPMC3241328

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.