Evidence map›Paper›PMID 21532711›Full record

ArticleThe Pan African medical journal2009

The influence of gender on the primary care management of diabetes in Tunisia.

Hugh Alberti, Benjamin Alberti

Abstract read
In one paragraph

Article in The Pan African medical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. 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

2 authors.

Hugh AlbertiSchool of Medicine & Health, Durham University, Queens Campus, Stockton, United Kingdom.
Benjamin Alberti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGender differences in access to high quality care for chronic illnesses have been suggested yet little work in this potentially vital area of health care inequality has been undertaken in Africa. We explored the influence of patient gender on the care of people with diabetes within a multi-method, national study of diabetes management in primary care in Tunisia.

methodsMethodologies used were quantitative (nationwide randomized study of 2160 medical records) and qualitative (participant observation, focus groups and interviews of patients and health care professionals).

resultsDifferences in patient characteristics, treatments prescribed, process and outcome data and access to care variables were demonstrated. The most striking disparity found was the high female to male ratio of patients attending for diabetes care (61.1%). A number of possible explanations for this emerged: Men were thought to under-attend for practical, financial and behavioural reasons whereas women were thought to have increased morbidity and potentially over-attend for social and psychological reasons.

conclusionWe have demonstrated a number of disparities in the care of men and women with diabetes in Tunisian primary care. In particular, a dual but related problem emerges from the data: more women than men attend for diabetes care and yet women do not get the same level of risk factor control as men. A number of local explanations for these disparities have emerged, which inform our analysis of the impact of gendered beliefs on diabetes care. Strategies to address these disparities will require a careful consideration of local beliefs and practices.

Indexed as

Diabetes caregenderquality of careTunisia

Identifiers

PMID21532711
PMCPMC2984293

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.