Evidence map›Paper›PMID 31168281›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2019

Effects of Motivational Interviewing on Adherence to Treatment Regimens Among Patients With Type 1 Diabetes: A Systematic Review.

Nahid Dehghan-Nayeri, Fatemeh Ghaffari, Tahereh Sadeghi, Naser Mozaffari

Abstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

4 authors.

Nahid Dehghan-NayeriTehran University of Medical Sciences School of Nursing and Midwifery, Nursing and Midwifery Care Research Center, Tehran, Iran.
Fatemeh GhaffariNursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Tahereh SadeghiEvidence-Based Care Research Center, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Naser MozaffariDepartment of Medical-Surgical Nursing, Faculty of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMotivational interviewing (MI) is a strategy for promoting adherence to treatment regimens among patients with diabetes. However, limited evidence exists regarding its effectiveness in reducing A1C.

objectiveTo identify and synthesize evidence about the effectiveness of patient, provider, and health system interventions to improve diabetes care among patients with type 1 diabetes.

designThis was a systematic review of randomized controlled trials.

methodsA search was conducted of the scientific databases MEDLINE, Elsevier, CINAHL, Google Scholar, ProQuest, Ovid, and PubMed without imposing any time limit. Only four documents met the inclusion criteria and were included in the final analysis. The methodological quality of these four articles was reviewed by three reviewers using the Jadad Scale. The main intervention and the primary outcome in this study were MI or motivational enhancement therapy and A1C, respectively.

resultsThe retrieved studies reported that MI promotes self-monitoring of blood glucose and reduces A1C.

conclusionMI is effective in enhancing patients' adherence to the treatment regimen and thereby decreasing A1C. Given the fact that the reviewed studies had not eliminated the effects of confounding factors, further studies are needed to assess the pure effects of MI on adherence to treatment regimens and A1C levels.

Identifiers

PMID31168281
PMCPMC6528390

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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.