123 Hispanics/Latinos with chronic spine pain will be identified through consecutive sampling of patients at a local FQHC who were referred by their primary care physician to physical therapy (PT) for neck or low back pain. Participants who are deemed eligible and enroll in the study will be scheduled for the first study assessment, where they will provide written informed consent for participation. Participation includes 4 study assessments and 8-weeks of treatment with either GOALS or Usual Care PT. Participants will be stratified by sex (male/female) and diagnosis (low back pain/neck pain) and randomized into either the GOALS or the Usual Care group following completion of the Baseline assessment. Study assessments will be conducted 1-week before (Baseline) and 1-week (Post), 3-months (3-mo Post), and 6-months (6-mo Post) after completing 8 weeks of GOALS or Usual Care PT.

The projected sample size for GOALS changed from N=138 to N=123 after adding an eligibility criterion requiring participants to attend the PT evaluation. Our power analysis indicated N=98 participants is the smallest sample size needed to detect the effect of the GOALS intervention. Before beginning the trial, we estimated a 41% attrition rate given data from the partnering clinic, suggesting we needed to recruit N=138 to meet our N=98 sample size. However, we added an inclusion criterion that participants need to attend the initial PT evaluation in order to be enrolled in the study. We retained an estimated attrition rate of 20% of enrolled participants, requiring an initial sample size of N=123 to meet the N=98 minimum sample size.

The primary aim of the study is to determine the efficacy of a culturally adapted cognitive behavioral based PT tele-rehabilitation program compared to usual care in Hispanics/Latinos with chronic spine pain, based on improvement in the pain interference scale in the Brief Pain Inventory after treatment (primary outcome). The 1-week post-intervention assessment will be analyzed using a linear regression model. The time by condition (GOALS vs. Usual Care) interaction term will be added to the models to assess for intervention effects. If the interaction is not significant, the main effect for time and condition will be assessed. For all outcomes, the models will be adjusted for sociodemographic and clinical characteristics that may affect treatment response. Secondary outcomes of pain interference at other time-points (3- and 6-mo Post) and patient reported outcomes and physical performance measures at all time points will be evaluated in the same manner. It is hypothesize that participation in the GOALS intervention compared to Usual Care will result in greater improvements in pain interference (primary outcome), as well as secondary patient reported outcomes and physical performance measures.

Pre-planned secondary analyses will explore biological/physical, psychological, and environmental moderators and mediators of treatment response. The dependent variable for this analysis will be treatment response, whereby participants will be dichotomized into responder and non-responder groups based on a ≥30% reduction in pain interference as recommended by IMMPACT guidelines. An exploratory, backward selection approach using separate multivariate logistic regression models will be used to identify predictors that are most strongly related to treatment response. These variables will then be entered into a single combined multivariate logistic regression model adjusted for sociodemographic covariates of treatment response. The study will also explore potential mediators of treatment response with structural equation modeling (SEM) using maximum likelihood estimation methods. Parameter estimates will be evaluated and indirect effects, reflecting mediation, will be calculated and examined for statistical significance and clinical meaningfulness. It is hypothesized that baseline indicators for high fear of movement and sedentary behavior will predict a positive response to the GOALS intervention. However, the study will also collect and analyze other candidate predictors of treatment response based on a conceptual model of the pain experience in Hispanics/Latinos.