Evidence map›Paper›PMID 37441307›Full record

ArticleIntegrated healthcare journal2020

Development of a model to deliver primary health care in Qatar.

Mohamed Ahmed Syed, Hanan Al Mujalli, Catherine Maria Kiely, Hamda Abdulla A/Qotba

Abstract read
In one paragraph

Article in Integrated healthcare journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Mohamed Ahmed SyedDirectorate of Clinical Affairs, Primary Health Care Corporation, Doha, Qatar.ORCID 0000-0002-2396-3534
Hanan Al MujalliDirectorate of Clinical Affairs, Primary Health Care Corporation, Doha, Qatar.
Catherine Maria KielyDirectorate of Clinical Affairs, Primary Health Care Corporation, Doha, Qatar.
Hamda Abdulla A/QotbaDirectorate of Clinical Affairs, Primary Health Care Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthcare providers around the world are seeking to manage the rising burden of chronic conditions against a backdrop of both growing and ageing populations as well as greater expectations of health services. This paper describes the development of an integrated primary care model 'the family medicine model (FMM)' to deliver primary healthcare in Qatar to better address some of the healthcare challenges faced. Methods: A developmental approach was adopted in defining an FMM for Qatar that could potentially address health needs of its population, while acknowledging local context and addressing complexities. A literature review was undertaken followed by field visits and setting up of a working group in order to identify, develop and adapt a model suitable for delivery of primary care in Qatar. Results: Key principles of the proposed model and its component were defined. Components included primary care workforce and practice-based teams, service provision and practice-based services, health information and technology, access to care and information, care management, care coordination, practice management and quality and safety. Conclusions: The proposed model is an innovative approach which utilises and integrates these components to deliver holistic primary care. It is anticipated that its introduction will help redesign and integrate the way primary healthcare is delivered to the population of Qatar in helping patients manage their own health and reduce the numbers that need to be admitted to secondary care, improving patients' independence and well-being as well as dramatically reducing the cost to the overall health system.

Indexed as

primary care

Identifiers

PMID37441307
PMCPMC10327457

What OpenQuestion holds

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Registered trials

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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.