Evidence mapPaperPMID 39386945Full record

ArticleFrontiers in public health2024

Economic evaluation of acupuncture in treating patients with pain and mental health concerns: the results of the Alberta Complementary Health Integration Project.

Mingshan Lu, Sumaiya Sharmin, Yong Tao, Xin Xia, Gongliang Yang, Yingying Cong, Guanhu Yang, Negar Razavilar, Riffat Aziz, Jing Jiang and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

13 authors.

Mingshan LuDepartment of Economics, University of Calgary, Calgary, AB, Canada.
Sumaiya SharminDepartment of Economics, University of Calgary, Calgary, AB, Canada.
Yong TaoHealing Point Acupuncture Clinic/Classic Acupuncture & Herbal Clinic, Los Altos, CA, United States.
Xin XiaDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Gongliang YangDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Yingying CongAlberta College of Acupuncture and Traditional Chinese Medicine, Calgary, AB, Canada.
Guanhu YangDepartment of Specialty Medicine, Ohio University, Athens, OH, United States.
Negar RazavilarInstitute of Health Economics, Edmonton, AB, Canada.
Riffat AzizGovernment of Alberta, Edmonton, AB, Canada.
Jing JiangDepartment of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada.
Yun XiaoDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Laura PengDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Bentong XuAlberta College of Acupuncture and Traditional Chinese Medicine, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic and its economic impact have heightened the risk of mental health and pain-related issues. The integration of acupuncture with conventional medicine shows promise in improving treatment outcomes for these conditions. The Alberta Complementary Health Integration Project (ABCHIP) aimed to provide acupuncture to youth (aged 24 and under) and seniors (aged 55 and above) experiencing chronic pain, pain management issues, mental health issues, and/or related conditions. The program aimed to promote integrative care, assess the effectiveness and cost-effectiveness of these therapies, and deliver patient-centered care. Design: ABCHIP provided acupuncture to address pain, mental health, and addiction issues at no cost to two vulnerable populations in Alberta: youth and the older adult. A total of 606 patients aged 14-65 received 5,424 acupuncture treatments. Outcome measures included pain interference, pain severity, sleep quality, depression, anxiety, fatigue, anger, and quality of life. Short-term outcomes were assessed through questionnaires completed at the beginning and completion of the treatments, while long-term benefits were estimated using these outcome indicators and existing literature on the economic cost of illnesses. Result: The cost-effectiveness analysis revealed the following ratios per Quality-Adjusted Life Year (QALY): CND12,171 for the overall sample, CND10,766 for patients with pain, CND9,331 for individuals with depression, and CND9,030 for those with anxiety. The cost-benefit analysis demonstrated annual cost savings ranging from CND1,487 to CND5,255, with an average of CND3,371. Conclusion: The study findings indicate that ABCHIP's treatment for pain, depression, anxiety, and sleep issues is cost-effective, leading to substantial cost savings and improved quality of life for patients. The program's cost per Quality-Adjusted Life Year (QALY) is significantly lower than benchmarks used in other countries, demonstrating high cost-effectiveness and value. Patients receiving 12 treatments experienced significant improvements across all measures, with estimated economic benefits surpassing treatment costs. In summary, ABCHIP offers a cost-effective and economically efficient therapy choice for individuals dealing with pain and mental health issues.

Indexed as

Acupuncture TherapyCost-Benefit AnalysisCOVID-19AdolescentAdultAgedAlbertaChronic PainFemaleHumansMaleMental HealthMiddle AgedPain ManagementQuality-Adjusted Life YearsQuality of Lifeacupunctureeconomic evaluationintegrative medicinemental healthpain

Identifiers

PMID39386945
PMCPMC11461202

What Socratic 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 Socratic graph.