Evidence map›Paper›PMID 37165356›Full record

ArticleBMC health services research2023

Healthcare services gap analysis: a supply capture and demand forecast modelling, Dubai 2018-2030.

Nahed Monsef, Eldaw Suliman, Elham Ashkar, Hamid Yahay Hussain

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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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 1 institution in 1 country.

Nahed MonsefStrategy & Governance Department, Strategy & Corporate Development Sector, Dubai Health Authority, Dubai, United Arab Emirates.
Eldaw SulimanStrategy & Governance Department, Strategy & Corporate Development Sector, Dubai Health Authority, Dubai, United Arab Emirates.
Elham AshkarStrategy & Governance Department, Strategy & Corporate Development Sector, Dubai Health Authority, Dubai, United Arab Emirates. EMAshkar@dha.gov.ae.
Hamid Yahay HussainResearch & Data Analyses Department, Strategy & Corporate Development Sector, Dubai Health Authority, Dubai, United Arab Emirates.
Dubai Health Authority · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth systems aim to provide a range of services to meet the growing demand of Dubai's heathcare system aims to provide a range of services to meet the growing demand of its population health needs and to ensure that standards of easy access, quality, equity and responsiveness are maintained. Dubai Health Authority (DHA) uses health services planning tools to assess the health needs of its population and sets priorities and effective regulatory strategies to achieve equilibrium of supply and demand of healthcare services and ensure adequate healthcare services are available, in terms of both quality and quantity. This study aims to measure the gap between demand and supply in health care services in Dubai at the baseline and to forecast the gap size and type (according to medical specialty, key medical planning units and geographical area) till 2030. The specific consequential aim includes identification of appropriate strategic directions for regulation, licensing, policies, insurance. METHODOLOGY: The supply of healthcare services, professionals and medical equipment is captured through a census of all healthcare facilities licensed for practice in the Emirate of Dubai. The demand is estimated using a need based approach, where demand for episodes of medical care are estimated by age and gender and aligned to the internationally defined diagnosis related groups (IR-DGRs). The estimated episodes are then forecasted into the future, until 2030, using three scenarios of population growth (high, medium and low) for the emirate of Dubai. The captured supply and forecasted demand has been categorized into eight key health-planning units (KPUs) to allow for understanding of the population healthcare service needs by main service categories. Using a software for health services planning, a gap analysis between supply and demand is conducted till year 2030.

resultsThe results revealed a current and expected undersupply and oversupply for some healthcare services by medical specialty and geographical area of the Emirate. By 2030, the largest gaps exists in acute beds, which would require 1,590 additional beds, for acute-same day beds, an additional 1575 beds, for outpatient consultation rooms, an additional 2,160 consultation rooms, for emergency department, an additional 107 emergency bays, and for long-term care and rehabilitation beds, an additional 675 beds. The top specialty needs for these categories include cardiology, orthopedics, rheumatology, psychiatry, pediatric medicine & surgery, gastroenterology, hematology & oncology, renal medicine, primary care, respiratory medicine, endocrinology, rehabilitation and long-term care.

conclusionsThere is an existing and growing requirement to support the healthcare services capacity needs for the top service lines and geographical areas with the largest gaps. Future licensing is required to ensure that new facilities are geographically distributed in a balanced way, and requests for licensing that create or augment oversupply should be avoided.

Indexed as

Health ServicesPsychiatryChildDelivery of Health CareEmergency Service, HospitalHealth PlanningHealth Services Needs and DemandHumans2018–2030Capacity planDubaiSupply–demand analysis

Identifiers

PMID37165356
PMCPMC10173558
OpenAlexW4376114002

What OpenQuestion holds

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LicenceCC BY
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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.