Evidence map›Paper›PMID 37858273›Full record

ArticleJournal of pharmaceutical policy and practice2023

Development of a Malaysian potentially inappropriate prescribing screening tool in older adults (MALPIP): a Delphi study.

Chee Tao Chang, Huan Keat Chan, Wee Kooi Cheah, Maw Pin Tan, Alan Swee Hock Ch'ng, Chiann Ni Thiam, Nor Azlina Abu Bakar, Weng Keong Yau, Muhammad Radzi Abu Hassan, Philip Rajan and 14 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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

24 authors at 6 institutions in 1 country.

Chee Tao ChangSchool of Pharmacy, Monash University Malaysia, Subang Jaya, Malaysia. davidcct.crc@gmail.com.ORCID https://orcid.org/0000-0002-9263-446X
Huan Keat ChanClinical Research Centre, Hospital Sultanah Bahiyah, Ministry of Health Malaysia, Alor Setar, Malaysia.
Wee Kooi CheahDepartment of Medicine, Hospital Taiping, Ministry of Health Malaysia, Taiping, Malaysia.
Maw Pin TanAgeing and Age-Associated Disorders Research Group, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Alan Swee Hock Ch'ngClinical Research Centre, Hospital Seberang Jaya, Ministry of Health Malaysia, Seberang Jaya, Malaysia.
Chiann Ni ThiamDepartment of Medicine, Hospital Sultanah Bahiyah, Ministry of Health Malaysia, Alor Setar, Malaysia.
Nor Azlina Abu BakarMedical Department, Hospital Raja Permaisuri Bainun, Ministry of Health Malaysia, Ipoh, Malaysia.
Weng Keong YauMedical Department, Hospital Kuala Lumpur, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Muhammad Radzi Abu HassanClinical Research Centre, Hospital Sultanah Bahiyah, Ministry of Health Malaysia, Alor Setar, Malaysia.
Philip RajanClinical Research Centre, Hospital Raja Permaisuri Bainun, Ministry of Health Malaysia, Ipoh, Malaysia.
Kar Choon TanHepatological Department, Hospital Selayang, Ministry of Health Malaysia, Selayang, Malaysia.
Subashini AmbigapathyKlinik Kesihatan Buntong, Ministry of Health Malaysia, Ipoh, Malaysia.
Paranthaman VengadasalamKlinik Kesihatan Greentown, Ministry of Health Malaysia, Ipoh, Malaysia.
Surina Zaman HuriPsychiatry Department, Hospital Sultan Ismail, Ministry of Health Malaysia, Johor Bahru, Malaysia.
H S Arvinder-SinghClinical Research Centre, Hospital Raja Permaisuri Bainun, Ministry of Health Malaysia, Ipoh, Malaysia.
Chern Choong ThumDepartment of Psychiatry, Hospital Sultan Abdul Aziz Shah, Universiti Putra Malaysia, Serdang, Malaysia.
Wai Mun ChungEmergency and Trauma Department, Hospital Taiping, Taiping, Malaysia.
Jun How OoiDepartment of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia.
Noor Hamizah SabkiPharmacy Department, Hospital Taiping, Ministry of Health Malaysia, Taiping, Malaysia.
Hooi Peng LeePharmacy Department, Hospital Kuala Lumpur, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Siti Mallissa Mohd ShariffPharmacy Department, Hospital Sungai Buloh, Ministry of Health Malaysia, Sungai Buloh, Malaysia.
Muhammad Azuan AzmanPharmacy Department, Hospital Raja Permaisuri Bainun, Ministry of Health Malaysia, Ipoh, Malaysia.
Siew Li TeohSchool of Pharmacy, Monash University Malaysia, Subang Jaya, Malaysia.
Shaun Wen Huey LeeSchool of Pharmacy, Monash University Malaysia, Subang Jaya, Malaysia. shaun.lee@monash.edu.
Ministry of Health · MYMonash University Malaysia · MYTaiping Hospital · MYUniversiti Putra Malaysia · MYUniversiti Sains Malaysia · MYUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPolypharmacy and potentially inappropriate medications (PIM) are common among older adults. To guide appropriate prescribing, healthcare professionals often rely on explicit criteria to identify and deprescribe inappropriate medications, or to start medications due to prescribing omission. However, most explicit PIM criteria were developed with inadequate guidance from quality metrics or integrating real-world data, which are rich and valuable data source.

aimTo develop a list of medications to facilitate appropriate prescribing among older adults.

methodsA preliminary list of PIM and potential prescribing omission (PPO) were generated from systematic review, supplemented with local pharmacovigilance data of adverse reaction incidents among older people. Twenty-one experts from nine specialties participated in two Delphi to determine the list of PIM and PPO in February and March 2023. Items that did not reach consensus after the second Delphi round were adjudicated by six geriatricians.

resultsThe preliminary list included 406 potential candidates, categorised into three sections: PIM independent of diseases, disease dependent PIM and omitted drugs that could be restarted. At the end of Delphi, 92 items were decided as PIM, including medication classes, such as antacids, laxatives, antithrombotics, antihypertensives, hormones, analgesics, antipsychotics, antidepressants, and antihistamines. Forty-two disease-specific PIM criteria were included, covering circulatory system, nervous system, gastrointestinal system, genitourinary system, and respiratory system. Consensus to start potentially omitted treatment was achieved in 35 statements across nine domains.

conclusionsThe newly developed PIM criteria can serve as a useful tool to guide clinicians and pharmacists in identifying PIMs and PPOs during medication review and facilitating informed decision-making for appropriate prescribing.

Indexed as

Medication reviewOlder adultsPolypharmacyPotentially inappropriate medicationsPrescribing omission

Identifiers

PMID37858273
PMCPMC10588247
OpenAlexW4387774186

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.