Evidence map›Paper›PMID 36867615›Full record

ArticlePloS one2023

Development and validation of a pharmaceutical assessment screening tool to prioritise patient care in a tertiary care hospital.

Cheok Ee Chang, Rahela Ambaras Khan, Chan Yen Tay, Baavaanii Thangaiyah, Victor Sheng Teck Ong, Sabariah Pakeer Oothuman, Shazwani Zulkifli, Nur Fatin Najwa Azemi, Pavithira Subramaniam

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 1 institution in 1 country.

Cheok Ee ChangPharmacy Department, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia.ORCID 0000-0002-0196-1108
Rahela Ambaras KhanPharmacy Department, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia.
Chan Yen TayPharmacy Department, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia.
Baavaanii ThangaiyahPharmacy Department, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia.
Victor Sheng Teck OngPharmacy Department, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia.
Sabariah Pakeer OothumanPharmacy Department, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia.
Shazwani ZulkifliPharmacy Department, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia.
Nur Fatin Najwa AzemiPharmacy Department, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia.
Pavithira SubramaniamPharmacy Department, Hospital Tunku Azizah, Ministry of Health, Kuala Lumpur, Malaysia.
Ministry of Health · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical pharmacy plays an integral role in optimizing inpatient care. Nevertheless, prioritising patient care remains a critical challenge for pharmacists in a hectic medical ward. In Malaysia, clinical pharmacy practice has a paucity of standardized tools to prioritise patient care.

aimOur aim is to develop and validate a pharmaceutical assessment screening tool (PAST) to guide medical ward pharmacists in our local hospitals to effectively prioritise patient care.

methodThis study involved 2 major phases; (1) development of PAST through literature review and group discussion, (2) validation of PAST using a three-round Delphi survey. Twenty-four experts were invited by email to participate in the Delphi survey. In each round, experts were required to rate the relevance and completeness of PAST criteria and were given chance for open feedback. The 75% consensus benchmark was set and criteria with achieved consensus were retained in PAST. Experts' suggestions were considered and added into PAST for rating. After each round, experts were provided with anonymised feedback and results from the previous round.

resultsThree Delphi rounds resulted in the final tool (rearranged as mnemonic 'STORIMAP'). STORIMAP consists of 8 main criteria with 29 subcomponents. Marks are allocated for each criteria in STORIMAP which can be combined to a total of 15 marks. Patient acuity level is determined based on the final score and clerking priority is assigned accordingly.

conclusionSTORIMAP potentially serves as a useful tool to guide medical ward pharmacists to prioritise patients effectively, hence establishing acuity-based pharmaceutical care.

Indexed as

PharmacyHumansPatient CarePharmaceutical PreparationsPharmacistsTertiary Care CentersPharmaceutical Preparations

Identifiers

PMID36867615
PMCPMC9983860
OpenAlexW4323031943

What OpenQuestion holds

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LicenceCC BY
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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.