Evidence map›Paper›PMID 25237566›Full record

ArticleIranian Red Crescent medical journal2014

Struggling towards diagnosis: experiences of Iranian diabetes.

Hossein Karimi Moonaghi, Hossein Namdar Areshtanab, Leila Joibari, Mohammad Arshadi Bostanabad, Heather McDonald

Abstract read
In one paragraph

Article in Iranian Red Crescent medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors.

Hossein Karimi MoonaghiDepartment of Medical Surgery, Faculty of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, IR Iran.
Hossein Namdar AreshtanabFaculty of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, IR Iran.
Leila JoibariFaculty of Nursing and Midwifery, Golestan University of Medical Sciences, Gorgan, IR Iran.
Mohammad Arshadi BostanabadFaculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, IR Iran.
Heather McDonaldSeabird Island Band, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare-seeking behavior is one of the factors determining the uptake and outcome of healthcare. However, few studies have discussed how and why diabetics seek healthcare assistance before meeting a physician.

objectivesIn this study, we explored the subjective experiences of healthcare-seeking behavior among Iranian patients with type 2 diabetes mellitus. PATIENTS AND

methodsA qualitative approach was adopted using a conventional content analysis of semi-structured interviews carried out in the Diabetes Association in Tabriz (Iran) with 15 participants suffering from type 2 diabetes. Participants were recruited by the purposeful sampling method.

resultsFIVE THEMES EMERGED FROM THE STUDY: 1) warning by physical signs; 2) personal processing; 3) self-remedy and its outcomes; 4) seeking information, and; 5) diagnosis and verification of information by healthcare staff.

conclusionsIndividual social context plays an important role in the decision-making process when seeking healthcare for diabetes. The results of this study can be utilized by healthcare providers to facilitate interventions to increase diabetics' active involvement in their healthcare, and encourage a wider knowledge of its symptoms and outcomes to facilitate appropriate healthcare-seeking and service use.

Indexed as

Diabetes mellitusHealthcare-Seeking BehaviorQualitative Research

Identifiers

PMID25237566
PMCPMC4166085

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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.