Health behavior change counseling in surgery for degenerative lumbar spinal stenosis. Part II: patient activation mediates the effects of health behavior change counseling on rehabilitation engagement

Prehabilitation for spine surgery: A scoping review

We aimed to identify and describe the current interventions used in preoperative programs ("prehabilitation") for spine surgery. Knowledge gaps in approaches, feasibility, timing, patient experience, clinical outcomes, and health care costs were explored while describing their potential benefits on physical and psychological outcomes. An electronic search was conducted from January 2004 to February 2022 in Ovid Medline, Embase, EBSCO CINAHL, the Cochrane Database of Systematic Reviews, and PEDro to identify studies in English evaluating adults enrolled in prehabilitation before undergoing elective spine surgeries. Studies were uploaded into DistillerSR for systematic screening after removing duplicates. Four reviewers screened nested references for inclusion based on titles and abstracts, followed by their full-text review. Two reviewers subsequently extracted data and summarized the results. The results were reported using Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines. Studies were rated for quality using National Health and Medical Research Council criteria. Out of 18,879 potential studies, a total of 23 studies (0.12%) met the eligibility criteria and were included in this scoping review. The prehabilitation programs included general education (n = 6, 26%), exercise (n = 6, 26%), cognitive behavioral therapy (n = 3, 13%), pain neuroscience education (n = 3, 13%), health behavior counseling (n = 3, 13%), and mindfulness (n = 2, 9%). Additional studies are needed to identify optimal patient characteristics, intervention dosage, and whether multimodal approaches using a combination of physical and psychological strategies lead to more favorable outcomes. Although studies on prehabilitation for spine surgery are limited, they seem to demonstrate that prehabilitation programs are feasible, reduce medical expenditures, and improve patients' postoperative pain, disability, self-efficacy, psychological behaviors, and satisfaction with surgical outcomes. The available literature suggests there is an opportunity to improve patient experience, clinical outcomes and reduce medical costs with the use of prehabilitation in spine surgery.

Worsening pain and quality of life for spine surgery patients during the COVID-19 pandemic: Roles of psychological distress and patient activation

•

Psychological distress compounds negative effects of COVID-19 on pain and HRQoL.

•

Patient activation is protective from COVID-19 effects on pain and HRQoL.

•

Providers should screen for psychological distress and patient activation.

•

Enhanced patient supports to manage pain are needed for at-risk patients.

•

Enhanced patient supports to maintain HRQoL are needed for at-risk patients.

Background

Public health measures during the COVID-19 pandemic have disrupted access to basic resources (income, food, housing, healthcare). The effects may impact patients differently based on socioeconomic status (SES), pre-existing psychological distress, and patient activation (knowledge, skills, and motivation to manage healthcare). We examined changes in access to basic resources and in pain and health-related quality of life (HRQoL) during the pandemic and determined how pre-existing psychological distress and patient activation are associated with exacerbation or mitigation of effects on pain and HRQoL.

Methods

This cross-sectional study assessed 431 patients in a longitudinal-outcomes registry who underwent or scheduled spine surgery at our institution and were surveyed about COVID-19 effects on accessing basic resources. We assessed pain (numeric rating scale) and HRQoL (PROMIS 29-Item Profile). Information on preoperative SES, psychological distress, patient activation, pain, and HRQoL was collected previously. We compared access to basic resources by SES. We compared changes from pre-COVID-19 to COVID-19 assessments of pain and HRQoL and proportions of patients reporting worsened pain and HRQoL stratified by psychological distress. We analyzed associations between patient activation and negative effects on HRQoL using multivariable linear regression. Alpha=0.05.

Results

Respondents reported minor disruptions in accessing basic resources (no difference by SES) but significant worsening of back (p=.027) and leg pain (p=.013) and HRQoL (physical function, fatigue, p<0.001; satisfaction with participation in social roles, p=0.048) during COVID-19. Psychological distress was associated with clinically relevant worsening of back, pain, leg pain, and physical function all, (p<0.05). High patient activation was associated with less impairment of physical function (p=0.03).

Conclusion

Patients with pre-existing psychological distress experienced greater worsening of pain and HRQoL. High patient activation appeared to mitigate worsening of physical function. Providers should screen for psychological distress and patient activation and enhance supports to manage pain and maintain HRQoL in at-risk patients.

Level of Evidence: III

Associations of depression and sociodemographic characteristics with patient activation among those presenting for spine surgery

Purpose

To investigate the associations of sociodemographic characteristics and PROMIS domain scores with patient activation among patients presenting for spine surgery at a university-affiliated spine center.

Methods

Patients completed a survey collecting demographic and social information. Patients also completed the Patient-Reported Outcomes Measurement Information System (PROMIS) and Patient Activation Measure questionnaires. The associations of PROMIS scores and sociodemographic characteristics with patient activation were assessed using linear and ordinal logistic regression (patient activation stage as ordinal).

Results

A total of 1018 patients were included. Most respondents were white (84%), married (73%), and female (52%). Patients were distributed among the 4 activation stages as follows: stage I, 7.7%; stage II, 12%; stage III, 26%; and stage IV, 55%. Mean (±standard deviation) patient activation score was 70 ± 17 points. Female sex (adjusted coefficient [AC] = 4.3; 95% confidence interval [CI] 2.1, 6.4) and annual household income >$80,000 (OR = 3.7; 95% CI 0.54, 6.9) were associated with higher patient activation scores. Lower patient activation scores were associated with worse PROMIS Depression (AC = -0.31; 95% CI -0.48, -0.14), Fatigue (OR = -0.19; 95% CI -0.33, -0.05), Pain (OR = 0.22; 95% CI 0.01, 0.43), and Social Satisfaction (OR = 0.33; 95% CI 0.14, 0.51) scores.

Conclusion

Depression and socioeconomic status, along with PROMIS Pain, Fatigue, and Social Satisfaction domains, were associated with patient activation. Patients with a greater burden of depressive symptoms had lower patient activation; conversely, women and those with higher income had greater patient activation.

Level of evidence

Level 1.

Usability testing of an electronic health application for patient activation on weight management

BACKGROUND

Obesity is a leading public health concern in the United States. One promising method for enhancing patient activation to engage in health promoting behaviors is with technology in the primary care setting. The primary purpose of this study was to test the usability of a patient activation tool, called mWRAPPED, for weight management during primary care wait times.

METHODS

A two-cycle approach to usability testing was followed by a pragmatic usability study in the primary care setting. The application was subsequently revised based on patient feedback. A convenience sample of patients completed usability testing in the clinical setting. Patients completed the System Usability Scale throughout all testing phases.

RESULTS

First cycle patients provided an average score of 76.5 on the System Usability Scale. After revising mWRAPPED, the average patient System Usability Scale score increased to 80.5. mWRAPPED received an average System Usability Scale score of 77.9 when tested in the clinical setting. mWRAPPED demonstrated initial usability for primary care patients in an academic outpatient family medicine clinical setting.

CONCLUSIONS

Results of the current study will help to support the use of this application in future studies as a novel approach to delivering guideline-based weight management information to patients.

The engaged patient: patient activation can predict satisfaction with surgical treatment of lumbar and cervical spine disorders

OBJECTIVE

Care satisfaction is an important metric to health systems and payers. Patient activation is a hierarchical construct following 4 stages: 1) having a belief that taking an active role in their care is important, 2) having knowledge and skills to manage their condition, 3) having the confidence to make necessary behavioral changes, and 4) having an ability to maintain those changes in times of stress. The authors hypothesized that patients with a high level of activation, measured using the Patient Activation Measure (PAM), will be more engaged in their care and, therefore, will be more likely to be satisfied with the results of their surgical treatment.

METHODS

Using a prospectively collected registry at a multiprovider university practice, the authors examined patients who underwent elective surgery (n = 257) for cervical or lumbar spinal disorders. Patients were assessed before and after surgery (6 weeks and 3, 6, and 12 months) using Patient-Reported Outcomes Measurement Information System (PROMIS) health domains and the PAM. Satisfaction was assessed using the Patient Satisfaction Index. Using repeated-measures logistic regression, the authors compared the likelihood of being satisfied across stages of patient activation after adjusting for baseline characteristics (i.e., age, sex, race, education, income, and marital status).

RESULTS

While a majority of patients endorsed the highest level of activation (56%), 51 (20%) endorsed the lower two stages (neither believing that taking an active role was important nor having the knowledge and skills to manage their condition). Preoperative patient activation was weakly correlated (r ≤ 0.2) with PROMIS health domains. The most activated patients were 3 times more likely to be satisfied with their treatment at 1 year (OR 3.23, 95% CI 1.8-5.8). Similarly, patients in the second-highest stage of activation also demonstrated significantly greater odds of being satisfied (OR 2.8, 95% CI 1.5-5.3).

CONCLUSIONS

Patients who are more engaged in their healthcare prior to elective spine surgery are significantly more likely to be satisfied with their postoperative outcome. Clinicians may want to implement previously proven techniques to increase patient activation in order to improve patient satisfaction following elective spine surgery.

Building patient capacity to participate in care during hospitalisation: a scoping review

OBJECTIVES

To map the existing literature and describe interventions aimed at building the capacity of patients to participate in care during hospitalisation by: (1) describing and categorising the aspects of care targeted by these interventions and (2) identifying the behaviour change techniques (BCTs) used in these interventions. A patient representative participated in all aspects of this project.

DESIGN

Scoping review.

DATA SOURCES

MEDLINE, Embase and CINAHL (Inception -2017).

STUDY SELECTION

Studies reporting primary research studies on building the capacity of hospitalised adult patients to participate in care which described or included one or more structured or systematic interventions and described the outcomes for at least the key stakeholder group were included.

DATA EXTRACTION

Title and abstract screening and full text screening were conducted by pairs of trained reviewers. One reviewer extracted data, which were verified by a second reviewer. Interventions were classified according to seven aspects of care relevant to hospital settings. BCTs identified in the articles were assigned through consensus of three reviewers.

RESULTS

Database searches yielded a total 9899 articles, resulting in 87 articles that met the inclusion criteria. Interventions directed at building patient capacity to participate in care while hospitalised were categorised as those related to improving: patient safety (20.9%); care coordination (5.7%); effective treatment (5.7%) and/or patient-centred care using: bedside nursing handovers (5.7%); communication (29.1%); care planning (14%) or the care environment (19.8%). The majority of studies reported one or more positive outcomes from the defined intervention. Adding new elements (objects) to the environment and restructuring the social and/or physical environment were the most frequently identified BCTs.

CONCLUSIONS

The majority of studies to build capacity for participation in care report one or more positive outcomes, although a more comprehensive analysis is warranted.

Supporting Patient Behavior Change: Approaches Used by Primary Care Clinicians Whose Patients Have an Increase in Activation Levels

PURPOSE

We aimed to identify the strategies used to support patient behavior change by clinicians whose patients had an increase in patient activation.

METHODS

This mixed methods study was conducted in collaboration with Fairview Health Services, a Pioneer Accountable Care Organization. We aggregated data on the change in patient activation measure (PAM) score for 7,144 patients to the primary care clinician level. We conducted in-depth interviews with 10 clinicians whose patients' score increases were among the highest and 10 whose patients' score changes were among the lowest. Transcripts of the interviews were analyzed to identify key strategies that differentiated the clinicians whose patients had top PAM change scores.

RESULTS

Clinicians whose patients had relatively large activation increases reported using 5 key strategies to support patient behavior change (mean = 3.9 strategies): emphasizing patient ownership; partnering with patients; identifying small steps; scheduling frequent follow-up visits to cheer successes, problem solve, or both; and showing caring and concern for patients. Clinicians whose patients had lesser change in activation were far less likely to describe using these approaches (mean = 1.3 strategies). Most clinicians, regardless of group, reported developing their own approach to support patient behavior change. Those whose patients showed high activation change reported spending more time with patients on counseling and education than did those whose patients showed less improvement in activation.

CONCLUSIONS

Clinicians vary in the strategies they use to promote behavior change and in the time spent with patients on such activities. The 5 key strategies used by clinicians with high patient activation change are promising approaches to supporting patient behavior change that should be tested in a larger sample of clinicians to validate their effectiveness.