Evidence map›Paper›PMID 28243070›Full record

ArticlePatient preference and adherence2017

Improving adherence and outcomes in diabetic patients.

Renu Joshi, Disha Joshi, Pramil Cheriyath

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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

3 authors.

Renu JoshiDepartment of Endocrinology, Pinnacle Health Hospitals, Harrisburg, PA, USA.
Disha JoshiDepartment of Endocrinology, Pinnacle Health Hospitals, Harrisburg, PA, USA.
Pramil CheriyathDepartment of Endocrinology, Pinnacle Health Hospitals, Harrisburg, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNonadherence in diabetes is a problem leading to wasted resources and preventable deaths each year. Remedies for diminishing nonadherence are many but marginally effective, and outcomes remain suboptimal.

aimThe aim of this study was to test a new iOS "app", PatientPartner. Derived from complexity theory, this novel technology has been extensively used in other fields; this is the first trial in a patient population.

methodsPhysicians referred patients who were "severely non-adherent" with HbA1c levels >8. After consent and random assignment (n=107), subjects in the intervention group were immersed in the 12-min PatientPartner game, which assesses and trains subjects on parameters of thinking that are critical for good decision making in health care: information management, stress coping, and health strategies. The control group did not play PatientPartner. All subjects were called each week for 3 weeks and self-reported on their medication adherence, diet, and exercise. Baseline and 3-month post-intervention HbA1c levels were recorded for the intervention group.

resultsAlthough the control group showed no difference on any measures at 3 weeks, the intervention group reported significant mean percentage improvements on all measures: medication adherence (57%, standard deviation [SD] 18%-96%, SD 9), diet (50%, SD 33%-75%, SD 28), and exercise (29%, SD 31%-43%, SD 33). At 3 months, the mean HbA1c levels in the intervention group were significantly lower (9.6) than baseline (10.7).

conclusionMany programs to improve adherence have been proved to be expensive and marginally effective. Therefore, improvements from the single use of a 12-min-long "app" are noteworthy. This is the first ever randomized, controlled trial to demonstrate that an "app" can impact the gold standard biological marker, HbA1c, in diabetes.

Indexed as

adherencediabetesHbA1c improvementiOS app PatientPartner

Identifiers

PMID28243070
PMCPMC5317296

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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.