Evidence map›Paper›PMID 27390699›Full record

ArticleMedical journal of the Islamic Republic of Iran2016

The health systems' priority setting criteria for selecting health technologies: A systematic review of the current evidence.

Mohammadreza Mobinizadeh, Pouran Raeissi, Amir Ashkan Nasiripour, Alireza Olyaeemanesh, Seyed Jamaleddin Tabibi

Open access · greenAbstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 3 institutions in 1 country.

Mohammadreza MobinizadehPhD Candidate, Department of Health Services Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. mobinreza@yahoo.com.
Pouran RaeissiAssociate Professor, Department of Health Services Management, School of Management and Medical Information Science, Iran University of Medical Sciences, Tehran, Iran. raeissi2009@yahoo.com.
Amir Ashkan NasiripourAssociate Professor, Department of Health Services Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. nasiripour@srbiau.ac.ir.
Alireza OlyaeemaneshAssistant Professor, National Institute for Health Research, Tehran University of Medical Sciences, Tehran, Iran. arolyaee@gmail.com.
Seyed Jamaleddin TabibiProfessor, Department of Health Services Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. sjtabibi@yahoo.com.
Islamic Azad University, Science and Research Branch · IRIran University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the recent years, using health technologies to diagnose and treat diseases has had a considerable and accelerated growth. The proper use of these technologies may considerably help in the diagnosis and treatment of different diseases. On the other hand, unlimited and unrestricted entry of these technologies may result in induced demand by service providers. The aim of this study was to determine the appropriate criteria used in health technologies priority-setting models in the world.

methodsUsing MESH and free text, we sought and retrieved the relevant articles from the most appropriate medical databases (the Cochrane Library, PubMed and Scopus) through three separate search strategies up to March 2015. The inclusion criteria were as follows: 1) Studies with specific criteria; 2) Articles written in English; 3) Those articles conducted in compliance with priority setting of health technologies. Data were analyzed qualitatively using a thematic synthesis technique.

resultsAfter screening the retrieved papers via PRISMA framework, from the 7,012 papers, 40 studies were included in the final phase. Criteria for selecting health technologies (in pre assessment and in the assessment phase) were categorized into six main themes: 1) Health outcomes; 2) Disease and target population; 3) Technology alternatives; 4) Economic aspects; 5) Evidence; 6) and other factors. "Health effects/benefits" had the maximum frequency in health outcomes (8 studies); "disease severity" had the maximum frequency in disease and target population (12 studies); "the number of alternatives" had the maximum frequency in alternatives (2 studies); "cost-effectiveness" had the maximum frequency in economic aspects (15 studies); "quality of evidence" had the maximum frequency in evidence (4 studies); and "issues concerning the health system" had the maximum frequency in other factors (10 studies).

conclusionThe results revealed an increase in the number of studies on health technologies priority setting around the world, and emphasized the necessity of application of a multi- criteria approach for appropriate decision making about healthcare technologies in the health systems.

Indexed as

Health SystemsHealth TechnologyHealth Technology AssessmentPriority SettingPriority Setting Criteria

Identifiers

PMID27390699
PMCPMC4898853
OpenAlexW2285792068

What OpenQuestion holds

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LicenceCC BY-NC
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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.