Subtopic Deep Dive

Choosing Wisely Campaign Effectiveness
Research Guide

What is Choosing Wisely Campaign Effectiveness?

The Choosing Wisely Campaign Effectiveness subtopic evaluates the impact of the Choosing Wisely initiative on reducing low-value care through physician-targeted recommendations and guideline dissemination.

Launched in 2012 by the ABIM Foundation, Choosing Wisely identifies overused services across medical specialties. Studies assess its effects using population-level analyses and service utilization metrics. Over 20 papers analyze its outcomes, with Rosenberg et al. (2015) reporting modest decreases in imaging for headaches and low-risk cardiac cases (406 citations).

Curated Papers

Key Challenges

Why It Matters

Choosing Wisely informs policies to cut healthcare waste, potentially saving billions in low-value care spending. Rosenberg et al. (2015) found small reductions in targeted services among 7 recommendations, supporting campaign scaling. Colla et al. (2014) quantified prevalence of low-value services (257 citations), guiding payers and providers. Anderson et al. (2014) outlined cost/value methods in guidelines (511 citations), influencing performance measures.

Key Research Challenges

Measuring Modest Effect Sizes

Campaign impacts show marginal changes, like 2-5% reductions in targeted imaging (Rosenberg et al., 2015). Distinguishing campaign effects from secular trends requires robust controls. Cluster-randomized designs face contamination risks across regions.

Quantifying Low-Value Care Prevalence

Defining and tracking low-value services varies by specialty (Colla et al., 2014). Administrative data undercaptures clinical context. Morden et al. (2014) highlight economic disparities in service labeling (244 citations).

Sustaining Long-Term Behavior Change

Initial decreases fade without reinforcement (Rosenberg et al., 2015). Physician adherence depends on incentives and education. Anderson et al. (2014) stress integrating cost/value into guidelines for persistence.

Essential Papers

KDOQI US Commentary on the 2012 KDIGO Clinical Practice Guideline for the Evaluation and Management of CKD

Lesley A. Inker, Brad C. Astor, Chester H. Fox et al. · 2014 · American Journal of Kidney Diseases · 1.8K citations

Impact of COVID-19 pandemic on utilisation of healthcare services: a systematic review

Ray Moynihan, Sharon Sanders, Zoe A Michaleff et al. · 2021 · BMJ Open · 1.3K citations

Objectives To determine the extent and nature of changes in utilisation of healthcare services during COVID-19 pandemic. Design Systematic review. Eligibility Eligible studies compared utilisation ...

US Health Care Spending by Payer and Health Condition, 1996-2016

Joseph L. Dieleman, Jackie Cao, Abby Chapin et al. · 2020 · JAMA · 1.2K citations

Estimates of US spending on health care showed substantial increases from 1996 through 2016, with the highest increases in population-adjusted spending by public insurance. Although spending on low...

Environmental Impacts of the U.S. Health Care System and Effects on Public Health

Matthew J. Eckelman, Jodi D. Sherman · 2016 · PLoS ONE · 912 citations

The U.S. health care sector is highly interconnected with industrial activities that emit much of the nation's pollution to air, water, and soils. We estimate emissions directly and indirectly attr...

Cognitive biases associated with medical decisions: a systematic review

Gustavo Saposnik, Donald A. Redelmeier, Christian C. Ruff et al. · 2016 · BMC Medical Informatics and Decision Making · 904 citations

The current and future landscape of dialysis

Jonathan Himmelfarb, Raymond Vanholder, Rajnish Mehrotra et al. · 2020 · Nature Reviews Nephrology · 577 citations

Canada's universal health-care system: achieving its potential

Danielle Martin, Ashley Miller, Amélie Quesnel‐Vallée et al. · 2018 · The Lancet · 542 citations

Reading Guide

Foundational Papers

Start with Colla et al. (2014) for low-value care prevalence, then Morden et al. (2014) on economics, and Anderson et al. (2014) for guideline cost methods; these establish measurement baselines cited 257+511 times.

Recent Advances

Rosenberg et al. (2015) provides first effectiveness data (406 citations); extend to Dieleman et al. (2020) for spending context.

Core Methods

Claims-based utilization tracking, interrupted time series, and cost/value ratios in guidelines (Rosenberg et al., 2015; Anderson et al., 2014).

How PapersFlow Helps You Research Choosing Wisely Campaign Effectiveness

Discover & Search

Research Agent uses searchPapers('Choosing Wisely effectiveness') to find Rosenberg et al. (2015), then citationGraph reveals citing works on service reductions, and findSimilarPapers expands to Colla et al. (2014) for prevalence data.

Analyze & Verify

Analysis Agent applies readPaperContent on Rosenberg et al. (2015) to extract effect sizes, verifyResponse with CoVe checks claims against raw data, and runPythonAnalysis performs GRADE grading on trial evidence while computing statistical significance of 2-5% reductions.

Synthesize & Write

Synthesis Agent detects gaps like long-term adherence post-2015, flags contradictions between modest effects (Rosenberg et al., 2015) and guideline optimism (Anderson et al., 2014); Writing Agent uses latexEditText, latexSyncCitations for Rosenberg/Colla, and latexCompile to generate review manuscripts.

Use Cases

"Run meta-analysis on Choosing Wisely imaging reduction effect sizes from 2012-2020 papers"

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis(pandas meta-regression on extracted percentages from Rosenberg et al. 2015 and citers) → CSV export of pooled ORs and forest plots.

"Draft systematic review on Choosing Wisely cost savings with citations"

Synthesis Agent → gap detection → Writing Agent → latexEditText(structured review) → latexSyncCitations(Colla 2014, Morden 2014) → latexCompile(PDF with tables of service reductions).

"Find code for analyzing low-value care utilization trends"

Research Agent → paperExtractUrls(health spending papers) → Code Discovery → paperFindGithubRepo → githubRepoInspect → runPythonAnalysis(replicate Dieleman et al. 2020 spending trends adapted to Choosing Wisely data).

Automated Workflows

Deep Research workflow conducts systematic review: searchPapers(50+ Choosing Wisely papers) → readPaperContent → GRADE grading → structured report on effectiveness metrics. DeepScan applies 7-step analysis with CoVe checkpoints to verify Rosenberg et al. (2015) claims against utilization data. Theorizer generates hypotheses on why modest effects persist, chaining citationGraph to behavior change literature.

Try Doxa for Choosing Wisely Campaign Effectiveness Research

Frequently Asked Questions

What defines Choosing Wisely Campaign Effectiveness?

It measures reductions in low-value care from specialty society recommendations, assessed via utilization changes (Rosenberg et al., 2015).

What methods evaluate campaign impact?

Population-level analyses of claims data track service rates pre/post-campaign, with controls for trends (Rosenberg et al., 2015; Colla et al., 2014).

What are key papers on this topic?

Rosenberg et al. (2015, 406 citations) shows modest decreases in 2/7 recommendations; Colla et al. (2014, 257 citations) maps low-value service prevalence.