Evidence map›Paper›PMID 37776567›Full record

ArticleTranslational behavioral medicine2024

Budget impact analysis for implementation decision making, planning, and financing.

Natalie Riva Smith, Douglas E Levy

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

2 authors.

Natalie Riva SmithDepartment of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA.
Douglas E LevyMongan Institute Health Policy Research Center, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0001-9446-7899

Funding

Research Diversity Supplement Assessing the Integration of Tobacco Cessation Treatment into Lung Cancer ScreeningR01CA218123 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HAAS, JENNIFER S, PARK, ELYSE R. · 2018 to 2022
$4.4M
The Harvard Chan Education Program in Cancer Prevention and ControlT32CA057711 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Karen M. Emmons, ANNE LINDSAY FRAZIER · 2019 to 2026
$3.3M
Developing and evaluating a decision support tool to disseminate tobacco control research and inform policy implementationK99CA277135 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SMITH, NATALIE RIVA · 2023 to 2024
$254k
NCI NIH HHS K99 CA277135NCI NIH HHS R01 CA218123Patient-Centered Outcomes Research Institute DI-2017C3-9005
6 · The paper itself

Abstract

Shelley et al. (in Accelerating integration of tobacco use treatment in the context of lung cancer screening: relevance and application of implementation science to achieving policy and practice. Transl Behav Med 2022;12:1076-1083) laid out how implementation science frameworks and methods can advance the delivery of tobacco use treatment services during lung cancer screening services, which until recently was mandated by the Centers for Medicare and Medicaid Services. Their discussion provides an important overview of the full process of implementation and highlights the vast number of decisions that must be made when planning for implementation of an evidence-based practice such as tobacco use treatment: what specific tobacco use treatment services to deliver, when to deliver those services within the lung cancer screening process, and what implementation strategies to use. The costs of implementation play a major role in decision making and are a key implementation determinant discussed in major implementation frameworks. When making decisions about what and how to implement, budget impact analyses (BIAs) can play an important role in informing decision making by helping practitioners understand the overall affordability of a given implementation effort. BIAs can also inform the development of financing strategies to support the ongoing sustainment of tobacco use treatment service provision. More attention is needed by the research community to produce high-quality, user-friendly, and flexible BIAs to inform implementation decision making in health system and community settings. The application of BIA can help ensure that the considerable time and effort spent to develop and evaluate evidence-based programs has the best chance to inform implementation practice.

Indexed as

Early Detection of CancerLung NeoplasmsAgedDecision MakingEvidence-Based PracticeHumansMedicareUnited Statesbudgetscosts and cost analysisevidence-based practiceimplementation sciencetobacco cessationtobacco use treatment

Identifiers

PMID37776567
PMCPMC11491932

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.