Evidence map›Paper›PMID 29358430›Full record

ArticleBMJ open2018

A cross-sectional analysis of the relationship between diabetes and health access barriers in an urban First Nations population in Canada.

Michael Beckett, Michelle A Firestone, Constance D McKnight, Janet Smylie, Michael A Rotondi

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Characterizing the cascade of care for hepatitis C virus infection among Status First Nations peoples in Ontario: a retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. General regression methods for respondent-driven sampling data.Statistical methods in medical research · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Review
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 at 3 institutions in 1 country.

Michael BeckettSchool of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Michelle A FirestoneWell Living House, Centre for Research on Inner City Health, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Constance D McKnightDe dwa da dehs nye>s Aboriginal Health Centre, Hamilton, Ontario, Canada.
Janet SmylieWell Living House, Centre for Research on Inner City Health, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Michael A RotondiSchool of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
St. Michael's Hospital · CAYork University · CAAboriginal Affairs Northern Dev Canada · CA

Funding

CIHR 133703
6 · The paper itself

Abstract

objectiveThis study explores the relationship between health access barriers and diabetes in an urban First Nations population in Canada.

designData from a self-identified urban First Nations population were collected using respondent-driven sampling (RDS). As no clear approach for regression modelling of RDS data is available, two logistic regression modelling approaches, including survey-based logistic and generalised linear mixed models, were used to explore the relationship between diabetes and health barriers of interest, including access to healthcare, food, housing and socioeconomic factors.

settingHamilton, Ontario, Canada.

participantsThis cross-sectional study used data collected from the Our Health Counts study, in partnership with the De dwa da dehs nye>s Aboriginal Health Centre, which recruited 554 First Nations adults living in Hamilton using RDS.

resultsAfter adjusting for covariates, multivariable regression techniques showed a statistically significant relationship between a self-reported diagnosis of diabetes and a lack of culturally appropriate care among urban First Nations peoples (OR: 12.70, 95% CI 2.52 to 57.91). There was also a trend towards a relationship between diabetes and not having a doctor available in the area, feeling that healthcare provided was inadequate and a lack of available healthcare services in the area.

conclusionsUrban First Nations peoples who felt the health service they received was not culturally appropriate were more likely to have diabetes, compared with those who did not feel the service they received was culturally inappropriate. Establishing more healthcare services that integrate First Nations cultures and traditions could improve access to care and the course of treatment for urban First Nations peoples living with diabetes.

Indexed as

Indians, North AmericanAdolescentAdultAgedCross-Sectional StudiesDiabetes MellitusExerciseFemaleHealth Services AccessibilityHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisOntarioSelf Reportdiabetesfirst nations peoplehealth care access

Identifiers

PMID29358430
PMCPMC5781064
OpenAlexW2789765282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.