Evidence map›Paper›PMID 35559807›Full record

ArticleJournal of cancer policy2021

Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.

Chibuzo Iloabuchi, Nilanjana Dwibedi, Traci LeMasters, Chan Shen, Amit Ladani, Usha Sambamoorthi

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. The application of artificial intelligence in health financing: a scoping review.Cost effectiveness and resource allocation : C/E · 2023
    Article
  7. Review
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

6 authors at 3 institutions in 1 country.

Chibuzo IloabuchiDepartment of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Robert C. Byrd Health Sciences Center [North], P.O. Box 9510, Morgantown, WV, 26506-9510, USA. Electronic address: coi0001@mix.wvu.edu.
Nilanjana DwibediDepartment of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Robert C. Byrd Health Sciences Center [North], P.O. Box 9510, Morgantown, WV, 26506-9510, USA. Electronic address: nidwibedi@hsc.wvu.edu.
Traci LeMastersDepartment of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Robert C. Byrd Health Sciences Center [North], P.O. Box 9510, Morgantown, WV, 26506-9510, USA. Electronic address: traci.lemasters@hsc.wvu.edu.
Chan ShenDivision of Outcomes Research and Quality, Department of Surgery, College of Medicine, Pennsylvania State University, Hershey, PA, USA. Electronic address: cshen@pennstatehealth.psu.edu.
Amit LadaniDepartment of Medicine, Division of Rheumatology, West Virginia University Medicine, Morgantown, WV, USA. Electronic address: amit.ladani@hsc.wvu.edu.
Usha SambamoorthiDepartment of Pharmacotherapy, College of Pharmacy, "Vashisht" Professor of Disparities, Health Education, Awareness & Research in Disparities (HEARD) Scholar, Texas Center for Health Disparities, University of North Texas Health Sciences Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA. Electronic address: usha.sambamoorthi@unthsc.edu.
West Virginia University · USPennsylvania State University · USUniversity of North Texas · US

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
Texas Minority Health, Research and Outreach (MiHERO)S21MD012472 · NIMHD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JAMBOOR K. VISHWANATHA · 2017 to 2026
$18.0M
NIH HHS OT2 OD032581NIMHD NIH HHS S21 MD012472
6 · The paper itself

Abstract

objectiveTo evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma.

methodsWe used a retrospective cohort study design with 12-month baseline and follow-up periods. We identified a cohort of older adults (age ≥ 66 years) diagnosed with breast, prostate, colorectal cancers, or Non-Hodgkin's lymphoma between January 2014 and December 2014. We assessed low-value care and patient out-of-pocket expenditure in the follow-up period. We identified relevant low-value services using ICD9/ICD10 and CPT/HCPCS codes from the linked health claims and patient out-of-pocket expenditure from Medicare claim files and expressed expenditure in 2016 USD.

resultsAbout 29 % of older adults received at least one low-value care procedure during the follow-up period. Low-value care differed by gender, and rates were higher in women with colorectal cancer (32.7 %) vs. (28.8 %) and NHL (40 %) vs. (39 %) compared to men. Individuals who received one or more low-value care procedures had significantly higher mean out-of-pocket expenditure ($8,726 ± $7,214) vs. ($6,802 ± $6,102). XGBOOST, a machine learning algorithm revealed that low-value care was among the five leading predictors of OOP expenditure.

conclusionOne in four older adults with incident cancer received low-value care in 12-months after a cancer diagnosis. Across all cancer populations, individuals who received low-value care had significantly higher out-of-pocket expenditure. Excess out-of-pocket expenditure was driven by low-value care, fragmentation of care, and an increasing number of pre-existing chronic conditions. POLICY STATEMENT: This study focuses on health policy issues, specifically value-based care and its findings have important clinical and policy implications for Centers for Medicare and Medicaid Services (CMS) which has issued a roadmap for states to accelerate the adoption of value-based care, with the Department of Health and Human Services (HHS) setting a goal of converting 50 % of traditional Medicare payment systems to alternative payment models tied to value-based care by 2022.

Indexed as

Colorectal NeoplasmsLymphoma, Non-HodgkinAgedFemaleHealth ExpendituresHumansLow-Value CareMachine LearningMaleMedicareRetrospective StudiesUnited StatesCancerHealthcare expenditureHealthcare utilizationLow-value careMachine learningMedicareValuebased care

Identifiers

PMID35559807
PMCPMC8916690
OpenAlexW3208668851

What OpenQuestion holds

Textmetadata
LicenceTDM
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.