Evidence map›Paper›PMID 30810532›Full record

ArticleJMIR formative research2019

Using Exploratory Trials to Identify Relevant Contexts and Mechanisms in Complex Electronic Health Interventions: Evaluating the Electronic Patient-Reported Outcome Tool.

Carolyn Steele Gray, Janelle Gravesande, Parminder Kaur Hans, Jason X Nie, Sarah Sharpe, Mayura Loganathan, Renee Lyons, Cheryl Cott

Abstract read
In one paragraph

Article in JMIR formative research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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  13. Goal-Oriented Care: A Catalyst for Person-Centred System Integration.International journal of integrated care · 2020
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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

8 authors.

Carolyn Steele Gray *Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-2146-0001
Janelle Gravesande *School of Rehabilitation, McMaster University, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0001-9264-8805
Parminder Kaur Hans *Corporate Services, Trillium Health Partners, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-8641-0582
Jason X Nie *Institute for Better Health, Trillium Health Partners, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-9359-3938
Sarah Sharpe *QoC Health Inc, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-6310-5315
Mayura Loganathan *Ray D Wolfe Department of Family Medicine, Mount Sinai Hospital, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-9754-4175
Renee Lyons *Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-5596-0074
Cheryl Cott *Department of Physical Therapy, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-9986-3863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDesigning appropriate studies for evaluating complex interventions, such as electronic health solutions to support integrated care, remains a methodological challenge. With the many moving parts of complex interventions, it is not always clear how program activities are connected to anticipated and unanticipated outcomes. Exploratory trials can be used to uncover determinants (or mechanisms) to inform content theory that underpins complex interventions before designing a full evaluation plan.

objectiveA multimethod exploratory trial of the electronic patient-reported outcome (ePRO) tool was conducted to uncover contexts, processes and outcome variables, and the mechanisms that link these variables before full-scale evaluation. ePRO is a mobile app and portal designed to support goal-oriented care in interdisciplinary primary health care practices (clinical-level integration). This paper offers evaluation findings and methodological insight on how to use exploratory trial data to identify relevant context, process, and outcome variables, as well as central (necessary to achieving outcomes) versus peripheral (less critical and potentially context dependent) mechanisms at play.

methodsThe 4-month trial was conducted in 2 primary health care practices in Toronto, Canada. The patients were randomized into control and intervention groups and compared pre and post on quality of life and activation outcome measures. Semistructured interviews were conducted with providers and patients in the intervention group. Narrative analysis was used to uncover dominant mechanisms that inform the intervention's content theory (how context and process variables are linked to outcomes).

resultsOverall, 7 providers, 1 administrator, and 16 patients (7-control, 9-intervention) participated in the study. This study uncovered many complex and nuanced context, process, and outcome variables at play in the intervention. Narrative analysis of patient and provider interviews revealed dominant story lines that help to tease apart central and peripheral mechanisms driving the intervention. Provider and patient story lines centered around fitting the new intervention into everyday work and life of patients and providers and meaningfulness of the intervention. These themes were moderated by patient-provider relationships going into and throughout the intervention, their comfort with technology, and the research process.

conclusionsIdentifying dominant story lines using narrative analysis helps to identify the most relevant context and process variables likely to influence study outcomes. Normalization process theory emerges as a useful theory to uncover underlying mechanisms because of its emphasis on the social production and normalization of technological, processual, and social aspects of work; all found to be critical to our intervention. The number of complex, overlapping influencing variables suggests that complex interventions such as ePRO require us to pay careful attention to central versus peripheral mechanisms that will influence study outcomes. The narrative methods presented here are shown to be useful in uncovering these mechanisms and help to guide subsequent larger evaluation studies.

Indexed as

clinical trial, phase IIIeHealthhealth care evaluation mechanismsmHealthmultiple chronic conditionsnarrative analysisqualitative evaluationquantitative evaluation

Identifiers

PMID30810532
PMCPMC6414821

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.