Evidence map›Paper›PMID 37601799›Full record

ArticleFrontiers in medicine2023

A grounded theory research protocol on an attempt to practice interprofessional collaborative care by a primary care clinic health professional fresh graduate in diabetes care.

Kelly Sze Fang Num, Azimatun Noor Aizuddin, Seng Fah Tong, Mohd Shahrir Mohamed Said

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Kelly Sze Fang NumDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Azimatun Noor AizuddinDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Seng Fah TongDepartment of Family Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Mohd Shahrir Mohamed SaidDepartment of Internal Medicine, Universiti Kebangsaan Malaysia Medical Center (UKMMC), Kuala Lumpur, Malaysia.
National University of Malaysia · MYInternational Medical University · MYUniversity Kebangsaan Malaysia Medical Centre · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interprofessional collaborative care (IPCC) can improve the quality of care in patients with chronic diseases in primary care settings. In Malaysia, many medical and healthcare universities have adopted the concept of the interprofessional collaborative practice (IPCP) framework by the World Health Organization (WHO) and implemented interprofessional learning (IPL) in their curriculum to prepare fresh graduates for interprofessional collaboration (IPC) in the health workforce albeit in various degrees. However, there are potential challenges in putting what they have learned into practice, especially in managing chronic diseases due to the complexity of behavior changes required. Diabetes care is a classic example of such chronic disease management. This article presents a qualitative research protocol exploring the processes and challenges of fresh graduates attempting to practice IPC when managing diabetes mellitus (DM) in primary care clinics. A grounded theory (GT) approach will be adopted.

Indexed as

diabetes carefresh graduate health professionalgrounded theory protocolinterprofessional collaborative careprimary care clinics

Identifiers

PMID37601799
PMCPMC10435291
OpenAlexW4385554527

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.