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1.
JMIR Hum Factors ; 11: e55716, 2024 Jul 09.
Article in English | MEDLINE | ID: mdl-38980710

ABSTRACT

BACKGROUND: Self-management is endorsed in clinical practice guidelines for the care of musculoskeletal pain. In a randomized clinical trial, we tested the effectiveness of an artificial intelligence-based self-management app (selfBACK) as an adjunct to usual care for patients with low back and neck pain referred to specialist care. OBJECTIVE: This study is a process evaluation aiming to explore patients' engagement and experiences with the selfBACK app and specialist health care practitioners' views on adopting digital self-management tools in their clinical practice. METHODS: App usage analytics in the first 12 weeks were used to explore patients' engagement with the SELFBACK app. Among the 99 patients allocated to the SELFBACK interventions, a purposive sample of 11 patients (aged 27-75 years, 8 female) was selected for semistructured individual interviews based on app usage. Two focus group interviews were conducted with specialist health care practitioners (n=9). Interviews were analyzed using thematic analysis. RESULTS: Nearly one-third of patients never accessed the app, and one-third were low users. Three themes were identified from interviews with patients and health care practitioners: (1) overall impression of the app, where patients discussed the interface and content of the app, reported on usability issues, and described their app usage; (2) perceived value of the app, where patients and health care practitioners described the primary value of the app and its potential to supplement usual care; and (3) suggestions for future use, where patients and health care practitioners addressed aspects they believed would determine acceptance. CONCLUSIONS: Although the app's uptake was relatively low, both patients and health care practitioners had a positive opinion about adopting an app-based self-management intervention for low back and neck pain as an add-on to usual care. Both described that the app could reassure patients by providing trustworthy information, thus empowering them to take actions on their own. Factors influencing app acceptance and engagement, such as content relevance, tailoring, trust, and usability properties, were identified. TRIAL REGISTRATION: ClinicalTrials.gov NCT04463043; https://clinicaltrials.gov/study/NCT04463043.


Subject(s)
Artificial Intelligence , Low Back Pain , Mobile Applications , Neck Pain , Self-Management , Humans , Female , Self-Management/methods , Middle Aged , Male , Low Back Pain/therapy , Adult , Neck Pain/therapy , Aged , Qualitative Research , Focus Groups
2.
BMC Med Inform Decis Mak ; 23(1): 293, 2023 12 19.
Article in English | MEDLINE | ID: mdl-38114970

ABSTRACT

BACKGROUND: We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) pain disorders in primary care. The CDSS finds the most similar successful patients from the past to give treatment recommendations for a new patient. Using previous similar patients with successful outcomes to advise treatment moves management of MSK pain patients from one-size fits all recommendations to more individually tailored treatment. This study aimed to summarise the development and explore the acceptance and use of the CDSS for MSK pain patients. METHODS: This qualitative study was carried out in the Norwegian physiotherapy primary healthcare sector between October and November 2020, ahead of a randomised controlled trial. We included four physiotherapists and three of their patients, in total 12 patients, with musculoskeletal pain in the neck, shoulder, back, hip, knee or complex pain. We conducted semi-structured telephone interviews with all participants. The interviews were analysed using the Framework Method. RESULTS: Overall, both the physiotherapists and patients found the system acceptable and usable. Important findings from the analysis of the interviews were that the CDSS was valued as a preparatory and exploratory tool, facilitating the therapeutic relationship. However, the physiotherapists used the system mainly to support their previous and current practice rather than involving patients to a greater extent in decisions and learning from previous successful patients. CONCLUSIONS: The CDSS was acceptable and usable to both the patients and physiotherapists. However, the system appeared not to considerably influence the physiotherapists' clinical reasoning and choice of treatment based on information from most similar successful patients. This could be due to a smaller than optimal number of previous patients in the CDSS or insufficient clinical implementation. Extensive training of physiotherapists should not be underestimated to build understanding and trust in CDSSs.


Subject(s)
Decision Support Systems, Clinical , Musculoskeletal Pain , Humans , Artificial Intelligence , Musculoskeletal Pain/therapy , Physical Therapy Modalities
3.
Nat Sci Sleep ; 15: 799-809, 2023.
Article in English | MEDLINE | ID: mdl-37850197

ABSTRACT

Background: Insomnia is prevalent among patients receiving treatment for long-term musculoskeletal complaints in inpatient rehabilitation settings. Cognitive-behavioral therapy for insomnia (CBT-I) is effective for improving sleep quality in patients with pain, but a lack of therapists often limits the capacity to use this therapy in rehabilitation programs. The aim of this randomized clinical trial (RCT) is to evaluate the effectiveness of app-delivered CBT-I adjunct to inpatient multimodal rehabilitation for individuals with comorbid musculoskeletal complaints and insomnia, compared with rehabilitation (usual care) only. Methods: This RCT has two parallel arms: 1) inpatient multimodal rehabilitation and 2) app-delivered CBT-I adjunct to inpatient multimodal rehabilitation. Patients referred to Unicare Helsefort (Norway) with long-term chronic musculoskeletal complaints are invited to the study. Eligible and consenting participants will be randomized to the intervention and usual care at a ratio of 2:1. Assessments will be carried out at baseline (prior to randomization), 6 weeks (at the end of rehabilitation), 3 months (primary outcome), as well as 6 and 12 months after the rehabilitation. The primary outcome is insomnia severity measured at 3 months. Secondary outcomes include pain intensity, health-related quality of life, fatigue, physical function, work ability, expectations about sick leave length, sick leave, and prescribed medication. Exploratory analyses are planned to identify moderators and mediators of the effect of the app-delivered intervention. Discussion: This RCT will provide novel knowledge about the effectiveness of app-delivered CBT-I as an adjunct to usual care among patients participating in inpatient multimodal pain rehabilitation. Regardless of the results from this trial, the results will improve our understanding of the utility of dCBT-I in the field of rehabilitation and the importance of adding sleep therapy to this patient group. Trial Registration: This trial was prospectively registered in ClinicalTrials.gov October 10, 2022 (ClinicalTrials.gov identifier: NCT05572697).

4.
PLoS One ; 18(4): e0284369, 2023.
Article in English | MEDLINE | ID: mdl-37058510

ABSTRACT

BACKGROUND: Supervisors play a pivotal role in the sick leave process. Although responsibility for sick leave and return to work follow-up is increasingly placed on the workplace in Norway, few studies have explored supervisors' experiences. This study aims to explore supervisors´ experiences with attending to employees' sick leave and return to work process. METHODS: This study consists of individual interviews with 11 supervisors from diverse workplaces that was analysed thematically. RESULTS: The supervisors emphasised the value of presence at the workplace, the need for them to obtain information and uphold dialogue, considering individual and environmental influences on return-to-work and allocating responsibility. Investing time and money was crucial to prevent or reduce the negative impact of sick leave. CONCLUSIONS: The supervisors' perception of attending to sick leave and return-to-work largely reflect Norwegian legislation. However, they find obtaining information and managing responsibility challenging, suggesting that their responsibilities for return-to-work are perhaps disproportionate to their knowledge on attending this process. Individualised support and guidance on how to develop accommodations based on the employee´s workability should be made available. The reciprocal nature of follow-up described also reveals how the return-to-work process is enmeshed with (inter)personal considerations possibly resulting in unequal treatment.


Subject(s)
Return to Work , Sick Leave , Humans , Employment , Workplace , Norway
5.
Int J Qual Stud Health Well-being ; 16(1): 1946927, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34278973

ABSTRACT

Purpose: Although it is believed that involving the workplace and stakeholders in return-to-work interventions is beneficial, Norwegian occupational rehabilitation programmes rarely do. During 2015-2016, Hysnes Rehabilitation Centre provided inpatient multimodal occupational rehabilitation, including workplace meetings with employees, supervisors, and rehabilitation therapists. This study aims to explore the meetings´ content and stakeholders´ experiences.Methods: This was a multiple case study including non-participant observation of workplace meetings and interviews with participantsResults: Essential features of meetings included revealing and aligning the employee's and supervisor's understandings. Three components seemed instrumental in developing shared understandings leading to appropriate adjustments: 1) disclosing causes of absence, 2) validating difficulties, attitudes, and efforts, and 3) delimiting responsibility. Therapists played a vital role in addressing these components, supporting employees, and ensuring planning of appropriate solutions.Conclusion: Developing shared understandings by addressing and aligning illness- and return-to-work representations appears important for return-to-work interventions. Although pivotal to developing appropriate adjustments, disclosure depends upon supervisors' display of understanding and should not be encouraged without knowledge of the employee´s work situation. How supervisors relate to employees and implement adjustments may be as important as the types of adjustments. The therapist's support and validation of employees in vulnerable situations also seem valuable.Trial registration: The trial is registered at clinicaltrials.gov (NCT02541890), 4 September 2015. https://clinicaltrials.gov/ct2/show/NCT02541890.


Subject(s)
Return to Work , Workplace , Humans , Inpatients , Qualitative Research , Sick Leave
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