Evidence map›Paper›PMID 31712336›Full record

ArticleBMJ open2019

Diabetes and cardiovascular disease risk screening model in community pharmacies in a developing primary healthcare system: a feasibility study.

Hamzah Tareq Alzubaidi, Subhash Chandir, Sanah Hasan, Kevin McNamara, Rachele Cox, Ines Krass

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Diabetes and Cardiovascular Diseases Risk Assessment in Community Pharmacies: An Implementation Study.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

6 authors at 4 institutions in 2 countries.

Hamzah Tareq AlzubaidiPharmacy Practice & Pharmacotherapy, University of Sharjah, College of Pharmacy, Sharjah, United Arab Emirates halzubaidi@sharjah.ac.ae.ORCID 0000-0001-5122-271X
Subhash ChandirCenter for Global Health Delivery-Dubai, Harvard Medical School, Dubai, United Arab Emirates.
Sanah HasanAjman University of Science and Technology College of Pharmacy and Health Science, Ajman, United Arab Emirates.
Kevin McNamaraDeakin Rural Health, School of Medicine, Deakin University, Geelong, Victoria, Australia.
Rachele CoxCenter for Global Health Delivery-Dubai, Harvard Medical School, Dubai, United Arab Emirates.
Ines KrassFaculty of Pharmacy, University of Sydney, Sydney, New South Wales, Australia.
Ajman University · AEDeakin University · AUThe University of Sydney · AUUniversity of Sharjah · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to develop an evidence-based community pharmacist-delivered screening model for diabetes and cardiovascular disease (CVD), and assess its feasibility to identify and refer patients with elevated risk.

designA feasibility study.

settingA purposive sample of 12 community pharmacies in three cities in the United Arab Emirates (UAE).

participantsAdults 40 years of age and above who have not been previously diagnosed with either diabetes or CVD.

interventionPharmacist screening of adults visiting pharmacies involved history, demographics, anthropometric measurements, blood pressure and point-of-care testing including glycated haemoglobin (HbA1c) levels and lipid panel. Participants with a 10-year CVD risk ≥7.5%, HbA1c level ≥5.7% or American Diabetes Association (ADA) risk score ≥5 points were advised to visit their physician. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes were (1) development of UAE pharmacist-delivered screening model, (2) the proportion of screened participants identified as having high CVD risk (atherosclerotic CVD 10-year risk defined as ≥7.5%) and (3) the proportion of participants identified as having elevated blood glucose (high HbA1c level ≥5.7% (38.8 mmol/mol)) or high self-reported diabetes risk (ADA risk score ≥5 points). Secondary outcome is participants' satisfaction with the screening.

resultsThe first UAE pharmacist-delivered screening model was developed and implemented. A total of 115 participants were screened, and 92.3% of the entire screening process was completed during a single visit to pharmacy. The mean duration of the complete screening process was 27 min. At-risk individuals (57.4%) were referred to their physicians for further testing, while 94.5% of participants were at least satisfied with their screening experience.

conclusionsThe community pharmacist-delivered screening of diabetes and CVD risk is feasible in the UAE. The model offers a platform to increase screening capacity within primary care and provides an opportunity for early detection and treatment. However, pathways for the integration of the pharmacist-delivered screening service with physicians in primary care are yet to be explored.

Indexed as

Community Pharmacy ServicesPatient SatisfactionReferral and ConsultationAdultAnthropometryBlood Pressure DeterminationBody Mass IndexCardiovascular DiseasesCholesterolCholesterol, HDLCholesterol, LDLDiabetes Mellitus, Type 2DyslipidemiasFeasibility StudiesFemaleGlycated HemoglobinCholesterolCholesterol, HDLCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, humancardiovascular diseasesdiabetespharmacypoint-of-care testingprimary health carescreening

Identifiers

PMID31712336
PMCPMC6858145
OpenAlexW2985693745

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.