Dataset Information

Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods.

ABSTRACT: Objectives:To examine the treatment effectiveness of complementary and integrative health approaches (CIH) on chronic pain using Propensity Score (PS) methods. Design, Settings, and Participants:A retrospective cohort of 309,277 veterans with chronic musculoskeletal pain assessed over three years after initial diagnosis. Methods:CIH exposure was defined as one or more clinical visits for massage, acupuncture, or chiropractic care. The treatment effect of CIH on self-rated pain intensity was examined using a longitudinal model. PS-matching and inverse probability of treatment weighting (IPTW) were used to account for potential selection and confounding biases. Results:At baseline, veterans with (7,621) and without (301,656) CIH exposure differed significantly in 21 out of 35 covariates. During the follow-up period, on average CIH recipients had 0.83 (95% confidence interval [CI] = 0.77 to 0.89) points higher pain intensity ratings (range = 0-10) than nonrecipients. This apparent unfavorable effect size was reduced to 0.37 (95% CI = 0.28 to 0.45) after PS matching, 0.36 (95% CI = 0.29 to 0.44) with IPTW on the treated (IPTW-T) weighting, and diminished to null when integrating IPTW-T with PS matching (0.004, 95% CI = -0.09 to 0.10). An alternative IPTW model and conventional covariate adjustment appeared least powerful in terms of potential bias reduction. Sensitivity analyses restricting the follow-up period to one year after CIH initiation derived consistent results. Conclusions:PS-based causal methods successfully eliminated baseline difference between exposure groups in all measured covariates, yet they did not detect a significant difference in the self-rated pain intensity outcome between veterans who received CIHs and those who did not during the follow-up period.

SUBMITTER: Han L

PROVIDER: S-EPMC6329442 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods.

Han Ling L Goulet Joseph L JL Skanderson Melissa M Bathulapalli Harini H Luther Stephen L SL Kerns Robert D RD Brandt Cynthia A CA

Pain medicine (Malden, Mass.) 20190101 1

<h4>Objectives</h4>To examine the treatment effectiveness of complementary and integrative health approaches (CIH) on chronic pain using Propensity Score (PS) methods.<h4>Design, settings, and participants</h4>A retrospective cohort of 309,277 veterans with chronic musculoskeletal pain assessed over three years after initial diagnosis.<h4>Methods</h4>CIH exposure was defined as one or more clinical visits for massage, acupuncture, or chiropractic care. The treatment effect of CIH on self-rated p ...[more]

PMID: 29584926

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Project description:BackgroundOpioid prescriptions for Veterans with low back pain (LBP) persist despite the availability of PT, a lower medical risk treatment option. Patterns of treatment and subsequent healthcare utilization for Veterans with LBP are unknown. The purpose of this study was to evaluate the association of physical therapy (PT) and opioids and outcomes of spinal surgery and chronic opioid use for Veterans with incident LBP.MethodsWe conducted a retrospective cohort study identifying Veterans with a new diagnosis of LBP using ICD codes from the Veterans Administration national database from 2012 to 2017. Veterans were classified into three treatment groups based on the first treatment received within 30 days of incident LBP: receipt of PT, opioids, or neither PT nor opioids. Outcomes, events of spinal surgery and chronic opioid use, were identified beginning on day 31 up to one year following initial treatment. We used propensity score matching to account for the potential selection bias in evaluating the associations between initial treatment and outcomes.ResultsThere were 373,717 incident cases of LBP between 2012 and 2017. Of those 28,850 (7.7%) received PT, 48,978 (13.1%) received opioids, and 295,889 (79.2%) received neither PT or opioids. Pain, marital status and the presence of cardiovascular, pulmonary, or metabolic chronic conditions had the strongest statistically significant differences between treatment groups. Veterans receiving opioids compared to no treatment had higher odds of having a spinal surgery (2.04, 99% CI: 1.67, 2.49) and progressing to chronic opioid use (11.8, 99% CI: 11.3, 12.3). Compared to Veterans receiving PT those receiving opioids had higher odds (1.69, 99% CI: 1.21, 2.37) of having spinal surgery and progressing to chronic opioid use (17.8, 99% CI: 16.0, 19.9).ConclusionInitiating treatment with opioids compared to PT was associated with higher odds of spinal surgery and chronic opioid use for Veterans with incident LBP. More Veterans received opioids compared to PT as an initial treatment for incident LBP. Our findings can inform rehabilitation care practices for Veterans with incident LBP.

Project description:Objective: Suicide is a major public health problem, specifically among U.S. veterans, who do not consistently engage in mental health services, often citing stigma as a barrier. Complementary and Integrative Health (CIH) interventions are promising alternatives in promoting patient engagement and further, they may play a critical role in transitioning people into mental health care. Toward this goal, the Resilience and Wellness Center (RWC) was developed to break through the stigma barrier by addressing risk factors of suicide through multimodal CIH interventions via cohort design, promoting social connectedness and accountability among participants. Design: This is a program evaluation study at a large urban VA medical center, where assessments were evaluated from pre- to post-program completion to determine the effectiveness of an intensive multimodal CIH 4-week group outpatient intervention for suicide prevention. Outcome measures: Primary outcomes measured included group connectedness, severity of depression and hopelessness symptoms, suicidal ideation, sleep quality, and diet. Secondary outcomes included measures of post-traumatic stress disorder (PTSD), generalized anxiety severity stress/coping skills, pain, and fatigue. Results: The RWC showed high participant engagement, with an 84%-95% attendance engagement rate depending on suicide risk history. Data from 15 cohorts (N = 126) demonstrate favorable outcomes associated with participation in this comprehensive program, as evidenced by a reduction in suicidal ideation, depression, and hopelessness, but not sleep quality and diet. In addition, in a subset of veterans with a history of suicidal ideation or attempt, significant improvements were noted in pain, PTSD/anxiety symptoms, and stress coping measures. Conclusions: The RWC shows that an intensive complement of CIH interventions is associated with a significant improvement with high veteran engagement. Findings from this program evaluation study can be used to aid health care systems and their providers in determining whether or not to utilize such multimodal CIH integrated interventions as an effective treatment for at-risk populations as a part of suicide prevention efforts.

Project description:BackgroundAn external control arm is a cohort of control patients that are collected from data external to a single-arm trial. To provide an unbiased estimation of efficacy, the clinical profiles of patients from single and external arms should be aligned, typically using propensity score approaches. There are alternative approaches to infer efficacy based on comparisons between outcomes of single-arm patients and machine-learning predictions of control patient outcomes. These methods include G-computation and Doubly Debiased Machine Learning (DDML) and their evaluation for External Control Arms (ECA) analysis is insufficient.MethodsWe consider both numerical simulations and a trial replication procedure to evaluate the different statistical approaches: propensity score matching, Inverse Probability of Treatment Weighting (IPTW), G-computation, and DDML. The replication study relies on five type 2 diabetes randomized clinical trials granted by the Yale University Open Data Access (YODA) project. From the pool of five trials, observational experiments are artificially built by replacing a control arm from one trial by an arm originating from another trial and containing similarly-treated patients.ResultsAmong the different statistical approaches, numerical simulations show that DDML has the smallest bias followed by G-computation. In terms of mean squared error, G-computation usually minimizes mean squared error. Compared to other methods, DDML has varying Mean Squared Error performances that improves with increasing sample sizes. For hypothesis testing, all methods control type I error and DDML is the most conservative. G-computation is the best method in terms of statistical power, and DDML has comparable power at [Formula: see text] but inferior ones for smaller sample sizes. The replication procedure also indicates that G-computation minimizes mean squared error whereas DDML has intermediate performances in between G-computation and propensity score approaches. The confidence intervals of G-computation are the narrowest whereas confidence intervals obtained with DDML are the widest for small sample sizes, which confirms its conservative nature.ConclusionsFor external control arm analyses, methods based on outcome prediction models can reduce estimation error and increase statistical power compared to propensity score approaches.

Dataset Information

Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods.

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Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods.

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