Evidence map›Paper›PMID 31588907›Full record

ArticleJMIR research protocols2019

Social Support and Common Dyadic Coping in Couples' Dyadic Management of Type II Diabetes: Protocol for an Ambulatory Assessment Application.

Janina Lüscher, Tobias Kowatsch, George Boateng, Prabhakaran Santhanam, Guy Bodenmann, Urte Scholz

Abstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

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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

6 authors.

Janina LüscherApplied Social and Health Psychology, Department of Psychology, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-2453-1925
Tobias KowatschInstitute of Technology Management, University of St. Gallen, St. Gallen, Switzerland.ORCID https://orcid.org/0000-0001-5939-4145
George BoatengDepartment of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-4540-9582
Prabhakaran SanthanamDepartment of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-9506-4888
Guy BodenmannClinical Psychology for Children/Adolescents and Couples/Families, Department of Psychology, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0964-6409
Urte ScholzApplied Social and Health Psychology, Department of Psychology, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0184-5921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType II diabetes mellitus (T2DM) is a common chronic disease. To manage blood glucose levels, patients need to follow medical recommendations for healthy eating, physical activity, and medication adherence in their everyday life. Illness management is mainly shared with partners and involves social support and common dyadic coping (CDC). Social support and CDC have been identified as having implications for people's health behavior and well-being. Visible support, however, may also be negatively related to people's well-being. Thus, the concept of invisible support was introduced. It is unknown which of these concepts (ie, visible support, invisible support, and CDC) displays the most beneficial associations with health behavior and well-being when considered together in the context of illness management in couple's everyday life. Therefore, a novel ambulatory assessment application for the open-source behavioral intervention platform MobileCoach (AAMC) was developed. It uses objective sensor data in combination with self-reports in couple's everyday life.

objectiveThe aim of this paper is to describe the design of the Dyadic Management of Diabetes (DyMand) study, funded by the Swiss National Science Foundation (CR12I1_166348/1). The study was approved by the cantonal ethics committee of the Canton of Zurich, Switzerland (Req-2017_00430).

methodsThis study follows an intensive longitudinal design with 2 phases of data collection. The first phase is a naturalistic observation phase of couples' conversations in combination with experience sampling in their daily lives, with plans to follow 180 T2DM patients and their partners using sensor data from smartwatches, mobile phones, and accelerometers for 7 consecutive days. The second phase is an observational study in the laboratory, where couples discuss topics related to their diabetes management. The second phase complements the first phase by focusing on the assessment of a full discussion about diabetes-related concerns. Participants are heterosexual couples with 1 partner having a diagnosis of T2DM.

resultsThe AAMC was designed and built until the end of 2018 and internally tested in March 2019. In May 2019, the enrollment of the pilot phase began. The data collection of the DyMand study will begin in September 2019, and analysis and presentation of results will be available in 2021.

conclusionsFor further research and practice, it is crucial to identify the impact of social support and CDC on couples' dyadic management of T2DM and their well-being in daily life. Using AAMC will make a key contribution with regard to objective operationalizations of visible and invisible support, CDC, physical activity, and well-being. Findings will provide a sound basis for theory- and evidence-based development of dyadic interventions to change health behavior in the context of couple's dyadic illness management. Challenges to this multimodal sensor approach and its feasibility aspects are discussed. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/13685.

Indexed as

ambulatory assessment applicationcommon dyadic copingcouplesdyadic illness managementMobileCoachmobile sensingmultimodal sensor datasocial supportstudy protocoltype II diabetes

Identifiers

PMID31588907
PMCPMC6802534

What OpenQuestion holds

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LicenceCC BY
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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.