Evidence map›Paper›PMID 28125363›Full record

ArticleJournal of managed care & specialty pharmacy2017

Evaluation of the ASCO Value Framework for Anticancer Drugs at an Academic Medical Center.

Leslie Wilson, Tracy Lin, Ling Wang, Tanuja Patel, Denise Tran, Sarah Kim, Katie Dacey, Courtney Yuen, Lisa Kroon, Bret Brodowy and 1 more

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Advancing the conversation: 30 years of scholarship in managed care pharmacy.Journal of managed care & specialty pharmacy · 2025
    Article
  3. Observational
  4. Value Frameworks: Adaptation of Korean Versions of Value Frameworks for Oncology.International journal of environmental research and public health · 2021
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. 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

11 authors.

Leslie Wilson1 Department of Clinical Pharmacy, School of Pharmacy, University California, San Francisco.
Tracy Lin2 Medication Outcomes Center, Department of Clinical Pharmacy, School of Pharmacy, University of California, San Francisco.
Ling Wang1 Department of Clinical Pharmacy, School of Pharmacy, University California, San Francisco.
Tanuja Patel1 Department of Clinical Pharmacy, School of Pharmacy, University California, San Francisco.
Denise Tran3 Oncology, Department of Clinical Pharmacy, School of Pharmacy, University of California, San Francisco.
Sarah Kim3 Oncology, Department of Clinical Pharmacy, School of Pharmacy, University of California, San Francisco.
Katie Dacey3 Oncology, Department of Clinical Pharmacy, School of Pharmacy, University of California, San Francisco.
Courtney Yuen4 Department of Pharmaceutical Services, University of California, San Francisco, Health.
Lisa Kroon1 Department of Clinical Pharmacy, School of Pharmacy, University California, San Francisco.
Bret Brodowy2 Medication Outcomes Center, Department of Clinical Pharmacy, School of Pharmacy, University of California, San Francisco.
Kevin Rodondi5 School of Pharmacy and Leadership Strategy Center for Health Professions, University of California, San Francisco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnticancer drug prices have increased by an average of 12% each year from 1996 to 2014. A major concern is that the increasing cost and responsibility of evaluating treatment options are being shifted to patients. This research compared 2 value-based pricing models that were being considered for use at the University of California, San Francisco (UCSF) Medical Center to address the growing burden of high-cost cancer drugs while improving patient-centered care. PROGRAM DESCRIPTION: The Medication Outcomes Center (MOC) in the Department of Clinical Pharmacy, University of California, San Francisco (UCSF), School of Pharmacy focuses on assessing the value of medication-related health care interventions and disseminating findings to the UCSF Medical Center. The High Cost Oncology Drug Initiative at the MOC aims to assess and adopt tools for the critical assessment and amelioration of high-cost cancer drugs. The American Society of Clinical Oncology (ASCO) Value Framework (2016 update) and a cost-effectiveness analysis (CEA) framework were identified as potential tools for adoption. To assess 1 prominent value framework, the study investigators (a) asked 8 clinicians to complete the ASCO Value Framework for 11 anticancer medications selected by the MOC; (b) reviewed CEAs assessing the drugs; (c) generated descriptive statistics; and (d) analyzed inter-rater reliability, convergence validity, and ranking consistency. OBSERVATIONS: On the scale of -20 to 180, the mean ASCO net health benefit (NHB) total score across 11 drugs ranged from 7.6 (SD = 7.8) to 53 (SD = 9.8). The Kappa coefficient (κ) for NHB scores across raters was 0.11, which is categorized as "slightly reliable." The combined κ score was 0.22, which is interpreted as low to fair inter-rater reliability. Convergent validity indicates that the correlation between NHB scores and CEA-based incremental cost-effectiveness ratios (ICERs) was low (-0.215). Ranking of ICERs, ASCO scores, and wholesale acquisition costs indicated different results between frameworks. IMPLICATIONS: The ASCO Value Framework requires further specificity before use in a clinical setting, since it currently results in low inter-rater reliability and validity. Furthermore, ASCO scores were unable to discriminate between drugs providing the most and least value. RECOMMENDATIONS: The evaluation provides specific areas of weakness that can be addressed in future updates of the ASCO framework to improve usability. Meanwhile, the UCSF Medical Center should rely on CEAs, which are highly accessible for the highlighted cancer drugs. The MOC role can include summarizing and disseminating available CEA studies for interpretation by clinicians and financial counselors around drug value. DISCLOSURES: Funding for this research was contributed by the University of California, San Francisco, Medical Center Campus Strategic Initiative Program. The authors have no conflicts of interest to disclose. Study concept and design were contributed primarily by Wilson, along with Wang and Patel. Kim, Dacey, and Yuen collected the data, and data interpretation was performed by Wilson and Lin. The manuscript was written by Wilson, Lin, Wang, and Tran and revised by Lin, Redondi, Brodowy, and Kroon.

Indexed as

Academic Medical CentersAntineoplastic AgentsCost-Benefit AnalysisDrug CostsHumansMedical OncologyNeoplasmsPatient-Centered CareReproducibility of ResultsAntineoplastic Agents

Identifiers

PMID28125363
PMCPMC10397867

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.