Evidence map›Paper›PMID 34061430›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2021

More than cost-effectiveness? Applying a second-stage filter to improve policy decision making.

Kaying Kan, Frederike Jörg, Joran Lokkerbol, Cathrine Mihalopoulos, Erik Buskens, Robert A Schoevers, Talitha L Feenstra

Open access · goldAbstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 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
0.6field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. More than cost-effectiveness? Applying a second-stage filter to improve policy decision making.Health expectations : an international journal of public participation in health care and health policy · 2021
    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

7 authors at 4 institutions in 2 countries.

Kaying KanRob Giel Research Center, Interdisciplinary Centre for Psychopathology and Emotion Regulation, University Medical Center Groningen, University Center for Psychiatry, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-5337-3001
Frederike JörgRob Giel Research Center, Interdisciplinary Centre for Psychopathology and Emotion Regulation, University Medical Center Groningen, University Center for Psychiatry, University of Groningen, Groningen, The Netherlands.
Joran LokkerbolCentre for Economic Evaluation and Machine Learning, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, The Netherlands.
Cathrine MihalopoulosDeakin Health Economics, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, Australia.
Erik BuskensDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Robert A SchoeversInterdisciplinary Centre for Psychopathology and Emotion Regulation, University Medical Center Groningen, University Center for Psychiatry, University of Groningen, Groningen, The Netherlands.
Talitha L FeenstraDepartment of Science and Engineering, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.
University Medical Center Groningen · NLDeakin University · AUTrimbos Institute · NLUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApart from cost-effectiveness, considerations like equity and acceptability may affect health-care priority setting. Preferably, priority setting combines evidence evaluation with an appraisal procedure, to elicit and weigh these considerations.

objectiveTo demonstrate a structured approach for eliciting and evaluating a broad range of assessment criteria, including key stakeholders' values, aiming to support decision makers in priority setting.

methodsFor a set of cost-effective substitute interventions for depression care, the appraisal criteria were adopted from the Australian Assessing Cost-Effectiveness initiative. All substitute interventions were assessed in an appraisal, using focus group discussions and semi-structured interviews conducted among key stakeholders.

resultsAppraisal of the substitute cost-effective interventions yielded an overview of considerations and an overall recommendation for decision makers. Two out of the thirteen pairs were deemed acceptable and realistic, that is investment in therapist-guided and Internet-based cognitive behavioural therapy instead of cognitive behavioural therapy in mild depression, and investment in combination therapy rather than individual psychotherapy in severe depression. In the remaining substitution pairs, substantive issues affected acceptability. The key issues identified were as follows: workforce capacity, lack of stakeholder support and the need for change in clinicians' attitude.

conclusionsSystematic identification of stakeholders' considerations allows decision makers to prioritize among cost-effective policy options. Moreover, this approach entails an explicit and transparent priority-setting procedure and provides insights into the intended and unintended consequences of using a certain health technology. PATIENT CONTRIBUTION: Patients were involved in the conduct of the study for instance, by sharing their values regarding considerations relevant for priority setting.

Indexed as

PolicyPolicy MakingAustraliaCost-Benefit AnalysisDecision MakingHumanscost-effectiveness analysisdecision makinghealth technology assessmentmajor depressive disorderpatient participationpriority setting

Identifiers

PMID34061430
PMCPMC8369110
OpenAlexW3164498210

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.