Evidence map›Paper›PMID 33871857›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Evidence-Based Decision Making 3: Health Technology Assessment.

Daria O'Reilly, Richard Audas, Kaitryn Campbell, Meredith Vanstone, James M Bowen, Lisa Schwartz, Nazila Assasi, Ron Goeree

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

8 authors.

Daria O'ReillyProgram for Assessment of Technology in Health (PATH), St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Richard AudasDivision of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada. raudas@mun.ca.
Kaitryn CampbellProgram for Assessment of Technology in Health (PATH), St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Meredith VanstoneDepartment of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
James M BowenProgram for Assessment of Technology in Health (PATH), St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Lisa SchwartzDepartment of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
Nazila AssasiProgram for Assessment of Technology in Health (PATH), St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Ron GoereeProgram for Assessment of Technology in Health (PATH), St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter begins with a brief introduction to health technology assessment (HTA). HTA is concerned with the systematic evaluation of the consequences of the adoption and use of new health technologies and to improve the evidence on existing technologies. The objective of mainstream HTA is to support evidence-based decision- and policy-making that encourage the uptake of efficient and effective health-care technologies. This chapter provides a basic framework for conducting an HTA, as well as some fundamental concepts and challenges in assessing health technologies. Whether HTA is beneficial-supporting timely access to needed technologies-or detrimental depends on three critical issues: when the assessment is performed; how it is performed; and how the findings are used.

Indexed as

Biomedical TechnologyClinical Decision-MakingEvidence-Based MedicineHealth PolicyHumansTechnology Assessment, BiomedicalEconomic evaluationEvidence-based decision-makingHealth-care technologyHealth policyHealth technology assessment

Identifiers

PMID33871857

What OpenQuestion holds

Textmetadata
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.