Evidence map›Paper›PMID 39244560›Full record

ArticleBMC health services research2024

Determining the minimum data set of geriatric assessment at the Iran primary health care referral system: shifting from fragmentation to integration care for older people.

Razieh Mirzaeian, Mohsen Shafiee, Mohammad Reza Afrash, Hadi Kazemi-Arpanahi

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Razieh MirzaeianDepartment of Health Information Management, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Mohsen ShafieeDepartment of Nursing, Abadan University of Medical Sciences, Abadan, Iran.
Mohammad Reza AfrashDepartment of Artificial Intelligence, Smart University of Medical Sciences, Tehran, Iran.
Hadi Kazemi-ArpanahiDepartment of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran. h.kazemi@abadanums.ac.ir.ORCID http://orcid.org/0000-0002-8882-5765

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGeriatric assessment (GA) is a multidimensional process that disrupts the primary health care (PHC) referral system. Accessing consistent data is central to the provision of integrated geriatric care across multiple healthcare settings. However, due to poor-quality data and documentation of GA, developing an agreed minimum data set (MDS) is required. Therefore, this study aimed to develop a GA-MDS in the PHC referral system to improve data quality, data exchange, and continuum of care to address the multifaceted necessities of older people.

methodsIn our study, the items to be included within GA-MDS were determined in a three-stepwise process. First, an exploratory literature search was done to determine the related items. Then, we used a two-round Delphi survey to obtain an agreement view on items to be contained within GA-MDS. Finally, the validity of the GA-MDS content was evaluated.

resultsSixty specialists from different health geriatric care disciplines scored data items. After, the Delphi phase from the 230 selected items, 35 items were removed by calculating the content validity index (CVI), content validity ratio (CVR), and other statistical measures. Finally, GA-MDS was prepared with 195 items and four sections including administrative data, clinical, physiological, and psychological assessments.

conclusionsThe development of GA-MDS can serve as a platform to inform the geriatric referral system, standardize the GA process, and streamline their referral to specialized levels of care. We hope GA-MDS supports clinicians, researchers, and policymakers by providing aggregated data to inform medical practice and enhance patient-centered outcomes.

Indexed as

Delphi TechniqueGeriatric AssessmentPrimary Health CareReferral and ConsultationAgedAged, 80 and overContinuity of Patient CareDelivery of Health Care, IntegratedFemaleHumansIranMaleGeriatric assessmentMinimum data setPrimary health careReferral and consultation

Identifiers

PMID39244560
PMCPMC11380327

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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.