Evidence map›Paper›PMID 28739558›Full record

ArticleJMIR mHealth and uHealth2017

Design of Mobile Health Tools to Promote Goal Achievement in Self-Management Tasks.

Brad Edward Dicianno, Geoffrey Henderson, Bambang Parmanto

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Brad Edward DiciannoDepartment of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0003-0738-0192
Geoffrey HendersonDepartment of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0003-3596-3192
Bambang ParmantoDepartment of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0002-4907-8402
University of Pittsburgh · US

Funding

Harvard Prevention Research Center on Nutrition and Phy*U48DP000064 · DP · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GORTMAKER, STEVEN L · 2004 to 2009
$4.5M
WV Prevention Research CenterU48DP005004 · DP · WEST VIRGINIA UNIVERSITY · PI DINO, GERI A · 2014 to 2018
$4.3M
ACL HHS U48DP005004NCCDPHP CDC HHS U48 DP000064NCCDPHP CDC HHS U48 DP005004
6 · The paper itself

Abstract

backgroundGoal-setting within rehabilitation is a common practice ultimately geared toward helping patients make functional progress.

objectiveThe purposes of this study were to (1) qualitatively analyze data from a wellness program for patients with spina bifida (SB) and spinal cord injury (SCI) in order to generate software requirements for a goal-setting module to support their complex goal-setting routines, (2) design a prototype of a goal-setting module within an existing mobile health (mHealth) system, and (3) identify what educational content might be necessary to integrate into the system.

methodsA total of 750 goals were analyzed from patients with SB and SCI enrolled in a wellness program. These goals were qualitatively analyzed in order to operationalize a set of software requirements for an mHealth goal-setting module and identify important educational content.

resultsThose of male sex (P=.02) and with SCI diagnosis (P<.001) were more likely to achieve goals than females or those with SB. Temporality (P<.001) and type (P<.001) of goal were associated with likelihood that the goal would be achieved. Nearly all (210/213; 98.6%) of the fact-finding goals were achieved. There was no significant difference in achievement based on goal theme. Checklists, data tracking, and fact-finding tools were identified as three functionalities that could support goal-setting and achievement in an mHealth system. Based on the qualitative analysis, a list of software requirements for a goal-setting module was generated, and a prototype was developed. Targets for educational content were also generated.

conclusionsInnovative mHealth tools can be developed to support commonly set goals by individuals with disabilities.

Indexed as

goalsmobile healthrehabilitationself-caresmartphonespinal cord injuryspinal dysraphism

Identifiers

PMID28739558
PMCPMC5547247
OpenAlexW2738532699

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.