Evidence map›Paper›PMID 34127071›Full record

ArticleJournal of pharmaceutical policy and practice2021

Case studies for implementing MCDA for tender and purchasing decisions in hospitals in Indonesia and Thailand.

Anke-Peggy Holtorf, Erna Kristin, Anunchai Assamawakin, Nilawan Upakdee, Rina Indrianti, Napassorn Apinchonbancha

Abstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Anke-Peggy HoltorfHealth Outcomes Strategies GmbH, Colmarerstr 58, 4055, Basel, Switzerland. anke.holtorf@health-os.com.ORCID http://orcid.org/0000-0002-4638-5351
Erna KristinDepartment of Pharmacology Therapy, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Anunchai AssamawakinDepartment of Pharmacology, Faculty of Pharmacy, Mahidol University, 447 Sri-ayuthaya Road, Rajathevi, Bangkok, 10400, Thailand.
Nilawan UpakdeeFaculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, 65000, Thailand.
Rina IndriantiPT. Abbott Indonesia, Wisma Pondok Indah 2, Suite 503, Jalan Sultan Iskandar Muda Kav V/ TA., Pondok Indah, Jakarta Selatan, 12310, Indonesia.
Napassorn ApinchonbanchaAbbott Laboratories ltd, No.1, Q House Lumpini, 30th & 33rd Floor, South Sathorn Road, Thungmahamek, Sathorn, Bangkok, 10120, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA multi-criteria decision analysis (MCDA) approach has been suggested for helping purchasers in low- and middle-income countries in an evidence-based assessment of multi-source pharmaceuticals to mitigate potential adverse consequences of price-based decisions on patient access to effective medicines. Six workshops for developing MCDA-instruments for purchasing were conducted in Indonesia, Kazakhstan, Thailand, and Kuwait in 2017-2020. In Indonesia and Thailand, two pilot-initiatives aimed to implement the instruments for hospital drug purchasing decisions.

objectiveBy analysing and comparing the experiences and progress from the MCDA-workshops and the two case-examples for hospital implementation in Indonesia and Thailand, we aim to gain insights, which will support future implementation.

methodsThe selection of criteria and their average weight were compared quantitatively across the MCDA-instruments developed in all four countries and settings. Implementation experiences from two case-examples were studied, which included (1) testing the instrument across a variety of drugs in seven hospitals in Thailand and (2) implementation in one specialty hospital in Indonesia. Semi-structured interviews were conducted via web-conferences with four diverse stakeholders in the pilot implementation projects in Thailand and Indonesia. The open responses were evaluated through qualitative content analysis and synthesis using grounded theory coding.

resultsDrivers for implementation were making 'better' decisions, achieving transparency and a rational selection process, reducing drug shortages, and assuring consistent quality. Challenges were seen on the technical level (definition or of criteria, scoring methods, access to data) or change-related challenges (resistance, perception of increased workload, lack of competencies or capabilities, lack of resources). The comparison of the MCDA instruments revealed high similarity, but also clear need for local adaptations in each specific case.

conclusionA set a of measures targeting challenges related to utility, methodology, data requirements, capacity building and training as well as the broader societal impact can help to overcome challenges in the implementation. Careful planning of implementation and organizational change is recommended for ensuring commitment and fit to local context and culture. Designing a collaborative change program for each application of MCDA-based purchasing will enable healthcare stakeholders to maximally benefit in terms of quality and effectiveness of care and access for patients.

Indexed as

Hospital formularyHospital pharmacyImplementationLMICsLow- and middle-income countriesMCDAMulti-criteria decision analysisMulti-source pharmaceuticalsPurchasingTender selection

Identifiers

PMID34127071
PMCPMC8200782

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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.