Physical Therapists' Acceptance of a Wearable, Fabric-Based Sensor System (Motion Tape) for Use in Clinical Practice: Qualitative Focus Group Study

BACKGROUND

Low back pain (LBP) is a costly global health condition that affects individuals of all ages and genders. Physical therapy (PT) is a commonly used and effective intervention for the management of LBP and incorporates movement assessment and therapeutic exercise. A newly developed wearable, fabric-based sensor system, Motion Tape, uses novel sensing and data modeling to measure lumbar spine movements unobtrusively and thus offers potential benefits when used in conjunction with PT. However, physical therapists' acceptance of Motion Tape remains unexplored.

OBJECTIVE

The primary aim of this research study was to evaluate physical therapists' acceptance of Motion Tape to be used for the management of LBP. The secondary aim was to explore physical therapists' recommendations for future device development.

METHODS

Licensed physical therapists from the American Physical Therapy Association Academy of Leadership Technology Special Interest Group participated in this study. Overall, 2 focus groups (FGs; N=8) were conducted, in which participants were presented with Motion Tape samples and examples of app data output on a poster. Informed by the Technology Acceptance Model, we conducted semistructured FGs and explored the wearability, usefulness, and ease of use of and suggestions for improvements in Motion Tape for PT management of LBP. FG data were transcribed and analyzed using rapid qualitative analysis.

RESULTS

Regarding wearability, participants perceived that Motion Tape would be able to adhere for several days, with some variability owing to external factors. Feedback was positive for the low-profile and universal fit, but discomfort owing to wires and potential friction with clothing was of concern. Other concerns included difficulty with self-application and potential skin sensitivity. Regarding usefulness, participants expressed that Motion Tape would enhance the efficiency and specificity of assessments and treatment. Regarding ease of use, participants stated that the app would be easy, but data management and challenges with interpretation were of concern. Physical therapists provided several recommendations for future design improvements including having a wireless system or removable wires, customizable sizes for the tape, and output including range of motion data and summary graphs and adding app features that consider patient input and context.

CONCLUSIONS

Several themes related to Motion Tape's wearability, usefulness, and ease of use were identified. Overall, physical therapists expressed acceptance of Motion Tape's potential for assessing and monitoring low back posture and movement, both within and outside clinical settings. Participants expressed that Motion Tape would be a valuable tool for the personalized treatment of LBP but highlighted several future improvements needed for Motion Tape to be used in practice.

Voice-Enabled Response Analysis Agent (VERAA): Leveraging Large Language Models to Map Voice Responses in SDoH Survey

Social Determinants of Health (SDoH) have been shown to have profound impacts on health-related outcomes, yet this data suffers from high rates of missingness in electronic health records (EHR). Moreover, limited English proficiency in the United States can be a barrier to communication with health care providers. In this study, we have designed a multilingual conversational agent capable of conducting SDoH surveys for use in healthcare environments. The agent asks questions in the patient's native language, translates responses into English, and subsequently maps these responses via a large language model (LLM) to structured options in a SDoH survey. This tool can be extended to a variety of survey instruments in either hospital or home settings, enabling the extraction of structured insights from free-text answers. The proposed approach heralds a shift towards more inclusive and insightful data collection, marking a significant stride in SDoH data enrichment for optimizing health outcome predictions and interventions.

Process evaluation of Dulce Digital-Me: an adaptive mobile health (mHealth) intervention for underserved Hispanics with diabetes

Type 2 diabetes disproportionately impacts ethnic minorities and individuals from low socioeconomic status. Diabetes self-management education and support has been shown to improve clinical outcomes in these populations, and mobile health (mHealth) interventions can reduce barriers to access. Dulce Digital-Me (DD-Me) was developed to integrate adaptive mHealth technologies to enhance self-management and reduce disparities in the high-risk, underserved Hispanic population. The objective of the present study was to evaluate reach, adoption, and implementation of an mHealth diabetes self-management education and support intervention in this underrepresented population. The present analysis is a multimethod process evaluation using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. The study was effective in reaching a sample that was representative of the intended population; only modest but significant differences were observed in sex and age. The DD-Me health coach (HC) cited several important facilitators of intervention adoption, including outreach frequency and personalization, and the automated HC report. Implementation fidelity was high, with participants receiving >90% of intended interventions. Participants who received DD-Me with support from a HC were most engaged, suggesting utility and acceptability of integrating HCs with mHealth interventions. Perceptions of implementation among study participants were positive and consistent across study arms. This evaluation revealed the target population was successfully reached and engaged in the digital health interventions, which was implemented with high fidelity. Further studies should evaluate the efficacy and maintenance of the study following the RE-AIM model to determine whether this intervention warrants expansion to additional settings and populations.

Ascertaining Whether an Intelligent Voice Assistant Can Meet Older Adults' Health-Related Needs in the Context of a Geriatrics 5Ms Framework

The Geriatrics 5Ms: Medications, Mind, Mobility, what Matters most and Multicomplexity is a framework to address the complex needs of older adults. Intelligent Voice Assistants (IVAs) are increasingly popular and have potential to support health-related needs of older adults. We utilized previously collected qualitative data on older adults' views of how an IVA may address their health-related needs and ascertained their fit into the Geriatrics 5Ms framework. The codes describing health challenges and potential IVA solutions fit the framework: (1) Medications: difficulty remembering medications.

SOLUTION

reminders. (2) Mind: isolation, anxiety, memory loss.

SOLUTION

companionship, memory aids. (3) Mobility: barriers to exercise.

SOLUTION

incentives, exercise ideas. (4) Matters most: eating healthy foods.

SOLUTION

suggest and order nutritious foods, (5) Multicomplexity; managing multimorbidity.

SOLUTION

symptom tracking and communicating with health care professionals. Incorporating the 5Ms framework into IVA design can aid in addressing health care priorities of older adults.

Factors associated with adherence to remote patient monitoring for early detection of dehydration risk during radiation treatment for head and neck cancer

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Background: Remote patient monitoring (RPM) may improve the early detection and mitigation of cancer treatment-related complications, health-related outcomes and quality of life. RPM’s success may depend, in part, on patients’ adherence to remote monitoring protocols. However, factors that influence adherence to RPM are largely unknown. Daily blood pressure/pulse (BP/P), weight, and electronic patient-reported outcomes (ePROs) were monitored remotely in head and neck cancer (HNC) patients undergoing radiation treatment (RT) to identify dehydration risk. We evaluated potential factors associated with RPM adherence. Methods: During RT (average 6 to 7 weeks), participants were asked to take daily (Monday-Friday) measures of BP/P and weight using Bluetooth-enabled devices and to complete daily ePROs using a mobile tablet application (app). Data were provided to their physicians for daily review. The MD Anderson Symptom Inventory-Head and Neck (MDASI-HN) was completed at baseline and end of RT, and 6-8 weeks post-RT completion. The Patient Activation Measure (PAM) was completed at baseline and 6-8 weeks post-RT completion. A device usability survey measuring perceived usefulness of RPM was completed at the end of RT. Adherence to daily monitoring was recorded objectively. Longitudinal analyses compared the relationship between demographic, clinical, and PRO data and monitoring adherence. Results: Participants (n = 169) were 80% male, 87% White, and 91% married. Overall adherence to monitoring BP/P, weight, and ePROs was 83%, 82% and 74%, respectively. Greater HN-specific symptom severity and interference was associated with decreased adherence to daily monitoring of BP/P, weight, and ePROs (P< 0.021). Higher PAM scores were associated with higher adherence to daily monitoring of BP/P only (p = 0.006). Participants reported modest levels of perceived usefulness of RPM across four categories: symptom management, early problem detection, illness monitoring by healthcare provider, and feeling of security during RT. Only a single item indicating perceived feeling of security was associated with greater adherence to daily monitoring of blood pressure/pulse (p = 0.032) and weight (p = 0.007). Conclusions: A benefit of frequent RPM may be early detection and mitigation of symptoms during RT for HNC, however, increasing symptom burden experienced during treatment may interfere with adherence to daily monitoring. Better adherence may be attributed to patients perceiving a sense of security from daily monitoring and may suggest a potentially important value that patients gain from RPM. Understanding factors that impact patient adherence to RPM may help improve acceptability and clinical utility of RPM in oncology. Clinical trial information: NCT02253238.

Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention

Objectives. Remote monitoring (RM) of health-related outcomes may optimize cancer care and prevention outside of clinic settings. CYCORE is a software-based system for collection and analyses of sensor and mobile data. We evaluated CYCORE's feasibility in studies assessing: (1) physical functioning in colorectal cancer (CRC) patients; (2) swallowing exercise adherence in head and neck cancer (HNC) patients during radiation therapy; and (3) tobacco use in cancer survivors post-tobacco treatment (TTP). Methods. Participants completed RM: for CRC, blood pressure, activity, GPS; for HNC, video of swallowing exercises; for TTP, expired carbon monoxide. Patient-reported outcomes were assessed daily. Results. For CRC, HNC and TTP, respectively, 50, 37, and 50 participants achieved 96%, 84%, 96% completion rates. Also, 91-100% rated ease and self-efficacy as highly favorable, 72-100% gave equivalent ratings for overall satisfaction, 72-93% had low/no data privacy concerns. Conclusion. RM was highly feasible and acceptable for patients across diverse use cases.

Dulce Digital-Me: protocol for a randomized controlled trial of an adaptive mHealth intervention for underserved Hispanics with diabetes

BACKGROUND

By 2034, the number of US individuals with diabetes is predicted to increase from 23.7 to 44.1 million, and annual diabetes-related spending is expected to grow from $113 to $336 billion. Up to 55% of US Hispanics born in the year 2000 are expected to develop diabetes during their lifetime. Poor healthcare access and cultural barriers prevent optimal care, adherence, and clinical benefit, placing Hispanics at disproportionate risk for costly diabetes complications. Mobile technology is increasingly prevalent in all populations and can circumvent such barriers. Our group developed Dulce Digital, an educational text messaging program that improved glycemic control relative to usual care. Dulce Digital-Me (DD-Me) has been tailored to a participant's individual needs with a greater focus on health behavior change.

METHODS

This is a three-arm, parallel group, randomized trial with equal allocation ratio enrolling Hispanic adults with low income and poorly managed type 2 diabetes (N = 414) from a San Diego County Federally Qualified Health Center. Participants are randomized to receive Dulce Digital, Dulce Digital-Me-Automated, or Dulce Digital-Me-Telephonic. The DD-Me groups include Dulce Digital components plus personalized goal-setting and feedback delivered via algorithm-driven automated text messaging (DD-Me-Automated) or by the care team health coach (DD-Me-Telephonic) over a 12-month follow-up period. The study will examine the comparative effectiveness of the three groups in improving diabetes clinical control [HbA1c, primary outcome; low-density lipoprotein cholesterol (LDL-C), and systolic blood pressure (SBP)] and patient-provider communication and patient adherence (i.e., medication, self-management tasks) over 12 months and will examine cost-effectiveness of the three interventions.

DISCUSSION

Our comparative evaluation of three mHealth approaches will elucidate how technology can be integrated most effectively and efficiently within primary care-based chronic care model approaches to reduce diabetes disparities in Hispanics and will assess two modes of personalized messaging delivery (i.e., automated messaging vs. telephonic by health coach) to inform cost and acceptability.

TRIAL REGISTRATION

NCT03130699-All items from the WHO Trial Registration data set are available in https://clinicaltrials.gov/ct2/show/study/NCT03130699 .

Identifying dehydration risk in head and neck cancer patients undergoing radiation therapy using remote, sensor-based monitoring: A randomized controlled trial

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Background: Early identification and mitigation of cancer therapy-induced complications can improve quality of life and reduce complications and health care costs. We are evaluating the efficacy of a system, called CYCORE (CYberinfrastructure for Comparative effectiveness Research), to systematically and accurately collect daily weight, blood pressure, pulse and symptom data from head and neck cancer (HNC) survivors during their 6 to 7-week radiation treatment (RT) regimen using home-based biometric and other sensors integrated with a cyber-physical system. Aims include: 1) evaluate CYCORE’s efficacy in reducing hospitalization and emergency room visits related to dehydration; and, 2) evaluate related impact on costs related to treating dehydration. Methods: Remote, sensor-based monitoring via CYCORE identifies HNC survivors at increased risk for dehydration (i.e., reduced blood pressure and weight, increased pulse, and patient-reported outcomes (PROs) including decreased food and fluid intake). Upon initation of RT, HNC survivors are randomized to either: 1) standard care plus use of the CYCORE system, wherein biometric sensor data and PROs (e.g., pain, nausea, medications, food/fluid intake) are collected ; or, 2) standard care. Outcomes include hospital and emergency room admissions, and related costs. Results: To date, 113 survivors are enrolled (88.9% recruitment and 90.3% retention rates). Those randomized to CYCORE take daily home readings of weight, blood pressure and pulse via Bluetooth-enabled devices, and complete daily PRO assessments on a mobile application. Survivors’ data are available for viewing and clinical decision-making via a Web-based interface by their physicians and other providers. Previously, 59% of HNC survivors on RT showed physiologic signs of dehydration while using the CYCORE system. Worse ratings of nausea and vomiting predicted dehydration risk. Conclusions: CYCORE may serve as one model for integrating mobile and sensor technologies during critical periods of cancer care that occur outside of the clinic setting, and may improve management of treatment side effects, quality of life, and greater satisfaction with care. Clinical trial information: NCT02253238.

Identifying early dehydration risk with home-based sensors during radiation treatment: a feasibility study on patients with head and neck cancer

BACKGROUND

Systems that enable remote monitoring of patients' symptoms and other health-related outcomes may optimize cancer care outside of the clinic setting. CYCORE (CYberinfrastructure for COmparative effectiveness REsearch) is a software-based prototype for a user-friendly cyberinfrastructure supporting the comprehensive collection and analyses of data from multiple domains using a suite of home-based and mobile sensors. This study evaluated the feasibility of using CYCORE to address early at-home identification of dehydration risk in head and neck cancer patients undergoing radiation therapy.

METHODS

Head and neck cancer patients used home-based sensors to capture weight, blood pressure, pulse, and patient-reported outcomes for two 5-day periods during radiation therapy. Data were sent to the radiation oncologist of each head and neck cancer patient, who viewed them online via a Web-based interface. Feasibility outcomes included study completion rate, acceptability and perceived usefulness of the intervention, and adherence to the monitoring protocol. We also evaluated whether sensor data could identify dehydration-related events.

RESULTS

Fifty patients consented to participate, and 48 (96%) completed the study. More than 90% of patients rated their ease, self-efficacy, and satisfaction regarding use of the sensor suite as extremely favorable, with minimal concerns expressed regarding data privacy issues. Patients highly valued the ability to have immediate access to objective, self-monitoring data related to personal risk for dehydration. Clinician assessments indicated a high degree of satisfaction with the ease of using the CYCORE system and the resulting ability to monitor their patients remotely.

CONCLUSION

Implementing CYCORE in a clinical oncology care setting is feasible and highly acceptable to both patients and providers.

Use of low-dose pregabalin in patients undergoing laparoscopic cholecystectomy

BACKGROUND

The objective of this study was to examine the effects of low-dose pregabalin on the analgesic efficacy, side-effects, and recovery profile in patients undergoing laparoscopic cholecystectomy.

METHODS

One hundred and sixty-two patients aged 18-65 yr, of ASA physical status I-III, undergoing elective outpatient laparoscopic cholecystectomy were recruited and randomized in this prospective, placebo-controlled, double-blind study to receive one of the following study medications orally: pregabalin 50 mg, pregabalin 75 mg, or placebo, 1 h before surgery and then every 12 h after operation for a total of three doses. Postoperative numeric pain scores, analgesic consumption, recovery score (QoR-40), and side-effects (opioid-related symptom distress scale) were assessed in the early postoperative period (every 15 min during the first hour, at 90, 120 min, 6, and 12 h) and at days 1, 2, and 7. Data were analysed using an intention-to-treat method.

RESULTS

Compared with the placebo group, the pain scores were lower in the pregabalin 75 mg group in the first 90 min after surgery (P<0.05). Pregabalin 50 mg resulted in pain reduction at 30 and 45 min (P<0.05) relative to placebo. The analgesic consumption, side-effects, and recovery scores were similar among the three groups.

CONCLUSIONS

Perioperative administration of pregabalin 75 mg provided limited analgesic benefit in the postoperative period. An updated meta-analysis confirms this finding (see Supplementary material).