1
|
Nelson CD, Cornelius M, Wilson JM, Meints SM, Edwards RR, Jamison RN. Underestimating or Overestimating Improvement in Pain on a Smartphone Pain App: Role of Disability, Negative Affect, and Pain App Engagement. THE JOURNAL OF PAIN 2024; 25:104613. [PMID: 38909832 DOI: 10.1016/j.jpain.2024.104613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 06/12/2024] [Accepted: 06/18/2024] [Indexed: 06/25/2024]
Abstract
Clinicians often ask people with chronic pain about their perceived benefit from interventions designed to improve their pain. The aim of this study is to identify factors that contribute to underestimating or overestimating perceived changes in daily pain intensity over a month of daily assessments. We examined data from individuals with chronic pain who provided at least 28 daily assessments using a pain app as secondary analyses. Participants provided baseline demographic information and completed questionnaires assessing pain, activity interference, mood, pain disability, and catastrophizing. Using the pain app, they entered daily ratings of pain (0 = none, 10 = worst pain possible) and impressions of perceived day-to-day change (0 = better, 5 = same, and 10 = worse). Two hundred fifty-two (N = 252) subjects with chronic pain met the inclusion criteria of completing at least 28 daily assessments. Those who underestimated their improvement tended to have higher pain intensity at baseline (P < .001), reported greater activity interference and disability (P < .001), and were prone to greater catastrophizing and anxiety and depression (P < .01). People who were more accurate in assessing their improvement engaged less with the app with fewer 2-way messages compared with those who either underestimated or overestimated their improvement and who had more 2-way messaging (P < .05). This longitudinal study suggests that those who report greater levels of catastrophizing and anxiety and depression are more likely to underestimate any improvements in their pain over time but seem to engage more with a pain app. Future research will help in our understanding of what magnitude of perceived change in pain ratings is clinically meaningful. PERSPECTIVE: Those who report greater levels of pain, disability, anxiety, depression, and catastrophizing are most prone to underestimate improvements of their pain over time.
Collapse
Affiliation(s)
- Carlicia D Nelson
- Department of Anesthesiology Perioperative and Pain Medicine, Boston, Massachusetts
| | - Marise Cornelius
- Department of Anesthesiology Perioperative and Pain Medicine, Boston, Massachusetts
| | - Jenna M Wilson
- Department of Anesthesiology Perioperative and Pain Medicine, Boston, Massachusetts
| | - Samantha M Meints
- Department of Anesthesiology Perioperative and Pain Medicine, Boston, Massachusetts; Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Robert R Edwards
- Department of Anesthesiology Perioperative and Pain Medicine, Boston, Massachusetts; Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Robert N Jamison
- Department of Anesthesiology Perioperative and Pain Medicine, Boston, Massachusetts; Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
| |
Collapse
|
2
|
Shi JLH, Sit RWS. Impact of 25 Years of Mobile Health Tools for Pain Management in Patients With Chronic Musculoskeletal Pain: Systematic Review. J Med Internet Res 2024; 26:e59358. [PMID: 39150748 PMCID: PMC11364951 DOI: 10.2196/59358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/18/2024] [Accepted: 07/16/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Mobile technologies are increasingly being used in health care and public health practice for patient communication, monitoring, and education. Mobile health (mHealth) tools have also been used to facilitate adherence to chronic musculoskeletal pain (CMP) management, which is critical to achieving improved pain outcomes, quality of life, and cost-effective health care. OBJECTIVE The aim of this systematic review was to evaluate the 25-year trend of the literature on the adherence, usability, feasibility, and acceptability of mHealth interventions in CMP management among patients and health care providers. METHODS We searched the PubMed, Cochrane CENTRAL, MEDLINE, EMBASE, and Web of Science databases for studies assessing the role of mHealth in CMP management from January 1999 to December 2023. Outcomes of interest included the effect of mHealth interventions on patient adherence; pain-specific clinical outcomes after the intervention; and the usability, feasibility, and acceptability of mHealth tools and platforms in chronic pain management among target end users. RESULTS A total of 89 articles (26,429 participants) were included in the systematic review. Mobile apps were the most commonly used mHealth tools (78/89, 88%) among the included studies, followed by mobile app plus monitor (5/89, 6%), mobile app plus wearable sensor (4/89, 4%), and web-based mobile app plus monitor (1/89, 1%). Usability, feasibility, and acceptability or patient preferences for mHealth interventions were assessed in 26% (23/89) of the studies and observed to be generally high. Overall, 30% (27/89) of the studies used a randomized controlled trial (RCT), cohort, or pilot design to assess the impact of the mHealth intervention on patients' adherence, with significant improvements (all P<.05) observed in 93% (25/27) of these studies. Significant (judged at P<.05) between-group differences were reported in 27 of the 29 (93%) RCTs that measured the effect of mHealth on CMP-specific clinical outcomes. CONCLUSIONS There is great potential for mHealth tools to better facilitate adherence to CMP management, and the current evidence supporting their effectiveness is generally high. Further research should focus on the cost-effectiveness of mHealth interventions for better incorporating these tools into health care practices. TRIAL REGISTRATION International Prospective Register of Systematic Reviews (PROSPERO) CRD42024524634; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=524634.
Collapse
Affiliation(s)
- Jenny Lin-Hong Shi
- Department of Medicine, Jockey Club School of Public Health and Primary Care, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Regina Wing-Shan Sit
- Department of Medicine, Jockey Club School of Public Health and Primary Care, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| |
Collapse
|
3
|
An J, Fan W, Mittal A, Zhang Y, Chen AT. Mobile App Use among Persons with Fibromyalgia: A Cross-sectional Survey. THE JOURNAL OF PAIN 2024; 25:104515. [PMID: 38522593 DOI: 10.1016/j.jpain.2024.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 03/12/2024] [Accepted: 03/18/2024] [Indexed: 03/26/2024]
Abstract
Persons with fibromyalgia experience a diverse set of symptoms. Recommendations for management generally focus on multidisciplinary approaches involving multiple modalities. Mobile apps can be an essential component for self-management, yet little is known about how persons with fibromyalgia use mobile apps for health-related purposes. A cross-sectional survey (N = 663) was conducted to understand the real-world use of apps among persons with fibromyalgia. The survey included 2 main foci: 1) eHealth literacy and use of information sources, and 2) mobile app use patterns and preferences for health-related purposes, including the types of apps used and usage characteristics of apps currently in use, as well as those that had been discontinued. Respondents' average eHealth literacy as measured by eHealth Literacy Scale (eHEALS) was 31.4 (SD = 7.1), and they utilized diverse information sources. Approximately two-thirds of the sample used mobile apps; the remaining one-third did not. Diverse health management needs were represented in the apps reported, including scheduling/time management, notetaking, fitness, and wellness. Compared to apps that had been discontinued, participants rated apps that they still used higher in terms of ease of use and used them more frequently. Reasons for discontinuing app use included issues with privacy, the effort required, lack of interest, and lack of perceived quality. Other reasons for app nonuse were lack of awareness and how-to knowledge, indicating that disseminating information about apps and addressing other barriers, such as providing user support, are critical to increasing uptake. These study findings can inform both app design and dissemination. PERSPECTIVE: This article presents how persons with fibromyalgia use mobile apps to manage their health. The findings could inform the development of digital interventions or programs for this population.
Collapse
Affiliation(s)
- Jiaxin An
- School of Information, University of Texas at Austin, Austin, Texas
| | - Wei Fan
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington
| | - Anant Mittal
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington
| | - Yan Zhang
- School of Information, University of Texas at Austin, Austin, Texas
| | - Annie T Chen
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington
| |
Collapse
|
4
|
Delage N, Cantagrel N, Soriot-Thomas S, Frost M, Deleens R, Ginies P, Eschalier A, Corteval A, Laveyssière A, Phalip J, Bertin C, Pereira B, Chenaf C, Doreau B, Authier N, Kerckhove N. Mobile Health App and Web Platform (eDOL) for Medical Follow-Up of Patients With Chronic Pain: Cohort Study Involving the French eDOL National Cohort After 1 Year. JMIR Mhealth Uhealth 2024; 12:e54579. [PMID: 38865173 PMCID: PMC11208841 DOI: 10.2196/54579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 03/13/2024] [Accepted: 03/27/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Chronic pain affects approximately 30% of the general population, severely degrades quality of life and professional life, and leads to additional health care costs. Moreover, the medical follow-up of patients with chronic pain remains complex and provides only fragmentary data on painful daily experiences. This situation makes the management of patients with chronic pain less than optimal and may partly explain the lack of effectiveness of current therapies. Real-life monitoring of subjective and objective markers of chronic pain using mobile health (mHealth) programs could better characterize patients, chronic pain, pain medications, and daily impact to help medical management. OBJECTIVE This cohort study aimed to assess the ability of our mHealth tool (eDOL) to collect extensive real-life medical data from chronic pain patients after 1 year of use. The data collected in this way would provide new epidemiological and pathophysiological data on chronic pain. METHODS A French national cohort of patients with chronic pain treated at 18 pain clinics has been established and followed up using mHealth tools. This cohort makes it possible to collect the determinants and repercussions of chronic pain and their evolutions in a real-life context, taking into account all environmental events likely to influence chronic pain. The patients were asked to complete several questionnaires, body schemes, and weekly meters, and were able to interact with a chatbot and use educational modules on chronic pain. Physicians could monitor their patients' progress in real time via an online platform. RESULTS The cohort study included 1427 patients and analyzed 1178 patients. The eDOL tool was able to collect various sociodemographic data; specific data for characterizing pain disorders, including body scheme; data on comorbidities related to chronic pain and its psychological and overall impact on patients' quality of life; data on drug and nondrug therapeutics and their benefit-to-risk ratio; and medical or treatment history. Among the patients completing weekly meters, 49.4% (497/1007) continued to complete them after 3 months of follow-up, and the proportion stabilized at 39.3% (108/275) after 12 months of follow-up. Overall, despite a fairly high attrition rate over the follow-up period, the eDOL tool collected extensive data. This amount of data will increase over time and provide a significant volume of health data of interest for future research involving the epidemiology, care pathways, trajectories, medical management, sociodemographic characteristics, and other aspects of patients with chronic pain. CONCLUSIONS This work demonstrates that the mHealth tool eDOL is able to generate a considerable volume of data concerning the determinants and repercussions of chronic pain and their evolutions in a real-life context. The eDOL tool can incorporate numerous parameters to ensure the detailed characterization of patients with chronic pain for future research and pain management. TRIAL REGISTRATION ClinicalTrials.gov NCT04880096; https://clinicaltrials.gov/ct2/show/NCT04880096.
Collapse
Affiliation(s)
- Noémie Delage
- Centre d'évaluation et de Traitement de la douleur, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Nathalie Cantagrel
- Centre d'évaluation et de Traitement de la douleur, CHU Toulouse, Toulouse, France
| | | | - Marie Frost
- Centre d'évaluation et de Traitement de la douleur, CHU Grenoble, Grenoble, France
| | - Rodrigue Deleens
- Centre d'évaluation et de Traitement de la douleur, CHU Rouen, Rouen, France
| | - Patrick Ginies
- Centre d'évaluation et de Traitement de la douleur, CHU Montpellier, Montpellier, France
| | | | | | | | - Jules Phalip
- Analgesia Institute, Clermont-Ferrand, France
- Service de pharmacologie médicale, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Célian Bertin
- Service de pharmacologie médicale, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Bruno Pereira
- Direction de la recherche clinique et de l'innovation, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Chouki Chenaf
- Service de pharmacologie médicale, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Bastien Doreau
- Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Nicolas Authier
- Service de pharmacologie médicale, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Nicolas Kerckhove
- Service de pharmacologie médicale, CHU Clermont-Ferrand, Clermont-Ferrand, France
| |
Collapse
|
5
|
Turesson C, Liedberg G, Björk M. Evaluating the Clinical Use and Utility of a Digital Support App for Employees With Chronic Pain Returning to Work (SWEPPE): Observational Study. JMIR Hum Factors 2023; 10:e52088. [PMID: 38079212 PMCID: PMC10750230 DOI: 10.2196/52088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/17/2023] [Accepted: 10/25/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The digital app SWEPPE (sustainable worker, a digital support for persons with chronic pain and their employers) was developed to improve the support of people with chronic pain in their return-to-work process after sick leave and includes functions such as the action plan, daily self-rating, self-monitoring graphs, the coach, the library, and shared information with the employer. OBJECTIVE This study aims to describe the use of the smartphone app SWEPPE among people with chronic pain who have participated in an interdisciplinary pain rehabilitation program. METHODS This is a case study including 16 people participating in a feasibility study. The analyses were based on user data collected for 3 months. Quantitative data regarding used functions were analyzed with descriptive statistics, and qualitative data of identified needs of support from the employer were grouped into 8 categories. RESULTS Self-monitoring was used by all participants (median 26, IQR 8-87 daily registrations). A total of 11 (N=16, 69%) participants set a work-related goal and performed weekly evaluations of goal fulfillment and ratings of their work ability. In total, 9 (56%) participants shared information with their employer and 2 contacted the coach. A total of 15 (94%) participants identified a total of 51 support interventions from their employer. Support to adapt to work assignments and support to adapt to work posture were the 2 biggest categories. The most common type of support identified by 53% (8/15) of the participants was the opportunity to take breaks and short rests. CONCLUSIONS Participants used multiple SWEPPE functions, such as daily self-registration, goal setting, self-monitoring, and employer support identification. This shows the flexible nature of SWEPPE, enabling individuals to select functions that align with their needs. Additional research is required to investigate the extended use of SWEPPE and how employers use shared employee information.
Collapse
Affiliation(s)
- Christina Turesson
- Division of Prevention, Rehabilitation and Community Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Gunilla Liedberg
- Division of Prevention, Rehabilitation and Community Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Mathilda Björk
- Pain and Rehabilitation Centre, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| |
Collapse
|
6
|
Kerckhove N, Bornier N, Mulliez A, Elyn A, Teixeira S, Authier N, Bertin C, Chenaf C. Prevalence of Chronic Pain Among People with Dementia: A Nationwide Study Using French Administrative Data. Am J Geriatr Psychiatry 2023; 31:1149-1163. [PMID: 37468390 DOI: 10.1016/j.jagp.2023.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/02/2023] [Accepted: 06/24/2023] [Indexed: 07/21/2023]
Abstract
OBJECTIVE Alzheimer's disease or Related Dementia (ADRD) is known to disturb pain perception and reduce the ability to report it, resulting in underestimation by practitioners and sub-optimal medical management. The aim of this study was to estimate the prevalence of all types of CP among people with ADRD. DESIGN Nationwide cross-sectional study. SETTINGS French community-dwelling and nursing home residents. PARTICIPANTS People with ADRD, >40 years old, treated with cholinesterase inhibitors or memantine, or with a diagnosis/long-term illness of ADRD and matched with a comparison sample. SETTINGS French community-dwelling and nursing home residents. PARTICIPANTS People with ADRD, >40 years old, treated with cognitive stimulants (cholinesterase inhibitors and memantine) or with a diagnosis/long-term illness of ADRD and matched with a comparison sample (non-ADRD). MEASUREMENTS The capture-recapture method was performed to provide estimates of the prevalence of CP. People treated with analgesic drugs for ≥6 months consecutively or with a medical diagnosis of CP (ICD-10 codes) or referred to a pain center were considered as having CP. RESULTS A total of 48,288 individuals were included, of which 16,096 had ADRD and 32,192 without ADRD. The estimated prevalence of CP in people with ADRD was from 57.7% [52.9;63.3] to 57.9%[53.0;63.9], and slightly higher than the non-ADRD sample (from 49.9%[47.0;53.2] to 50.4%[47.3;53.9], p <0.001). CONCLUSIONS The prevalence of CP among people living with ADRD was at least the same as or better than individuals without ADRD. This result should alert practitioners' attention to the need for effective pain assessment and management in this population who has difficulties to express and feel pain.
Collapse
Affiliation(s)
- Nicolas Kerckhove
- Service de Pharmacologie médicale (NK, NB, ST, NA, CB, CC), Centres Addictovigilance et Pharmacovigilance, Centre d'Evaluation et de Traitement de la Douleur, Université Clermont Auvergne, CHU Clermont-Ferrand, INSERM, NEURO-DOL, F-63000 Clermont-Ferrand, France; Université Clermont Auvergne (NK, NA, CB, CC), Institut Analgesia, Clermont-Ferrand, France.
| | - Nadège Bornier
- Service de Pharmacologie médicale (NK, NB, ST, NA, CB, CC), Centres Addictovigilance et Pharmacovigilance, Centre d'Evaluation et de Traitement de la Douleur, Université Clermont Auvergne, CHU Clermont-Ferrand, INSERM, NEURO-DOL, F-63000 Clermont-Ferrand, France
| | - Aurélien Mulliez
- Direction de la recherche clinique et de l'innovation (AM), Clermont-Ferrand, France
| | - Antoine Elyn
- Centre d'Évaluation et de Traitement de la Douleur (AE), Service de Neurochirurgie, Pôle Neuroscience, Hôpital Purpan, Pierre Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place du Dr Joseph Baylac, Toulouse, France; RECaP F-CRIN, Groupe « Soins Primaires » (AE), Réseau national de Recherche en Épidémiologie Clinique et en Santé Publique, Inserm, France
| | - Sarah Teixeira
- Service de Pharmacologie médicale (NK, NB, ST, NA, CB, CC), Centres Addictovigilance et Pharmacovigilance, Centre d'Evaluation et de Traitement de la Douleur, Université Clermont Auvergne, CHU Clermont-Ferrand, INSERM, NEURO-DOL, F-63000 Clermont-Ferrand, France
| | - Nicolas Authier
- Service de Pharmacologie médicale (NK, NB, ST, NA, CB, CC), Centres Addictovigilance et Pharmacovigilance, Centre d'Evaluation et de Traitement de la Douleur, Université Clermont Auvergne, CHU Clermont-Ferrand, INSERM, NEURO-DOL, F-63000 Clermont-Ferrand, France; Université Clermont Auvergne (NK, NA, CB, CC), Institut Analgesia, Clermont-Ferrand, France; Observatoire Français des Médicaments Antalgiques (OFMA) (NA, CB, CC), Université Clermont Auvergne, Clermont-Ferrand, France
| | - Célian Bertin
- Service de Pharmacologie médicale (NK, NB, ST, NA, CB, CC), Centres Addictovigilance et Pharmacovigilance, Centre d'Evaluation et de Traitement de la Douleur, Université Clermont Auvergne, CHU Clermont-Ferrand, INSERM, NEURO-DOL, F-63000 Clermont-Ferrand, France; Université Clermont Auvergne (NK, NA, CB, CC), Institut Analgesia, Clermont-Ferrand, France; Observatoire Français des Médicaments Antalgiques (OFMA) (NA, CB, CC), Université Clermont Auvergne, Clermont-Ferrand, France
| | - Chouki Chenaf
- Service de Pharmacologie médicale (NK, NB, ST, NA, CB, CC), Centres Addictovigilance et Pharmacovigilance, Centre d'Evaluation et de Traitement de la Douleur, Université Clermont Auvergne, CHU Clermont-Ferrand, INSERM, NEURO-DOL, F-63000 Clermont-Ferrand, France; Université Clermont Auvergne (NK, NA, CB, CC), Institut Analgesia, Clermont-Ferrand, France; Observatoire Français des Médicaments Antalgiques (OFMA) (NA, CB, CC), Université Clermont Auvergne, Clermont-Ferrand, France
| |
Collapse
|
7
|
Bornier N, Mulliez A, Chenaf C, Elyn A, Teixeira S, Authier N, Bertin C, Kerckhove N. Chronic pain is a risk factor for incident Alzheimer's disease: a nationwide propensity-matched cohort using administrative data. Front Aging Neurosci 2023; 15:1193108. [PMID: 37842123 PMCID: PMC10575742 DOI: 10.3389/fnagi.2023.1193108] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 08/29/2023] [Indexed: 10/17/2023] Open
Abstract
Introduction Chronic pain (CP) is one of the most disabling conditions in the elderly and seems to be a risk factor for the development of Alzheimer's disease and related dementias (ADRD). Only one study, using national administrative health databases, assessed and demonstrated that chronic pain (all types of pain) was a risk factor for dementia, but without assessing the impact of pain medications. Method To assess the impact of all types of chronic pain and the long-term use of pain medications on the person-years incidence of ADRD, a retrospective nationwide healthcare administrative data study was performed using the national inter-regime health insurance information system (SNIIRAM) to the French national health data system (SNDS). Incident people >50 years old with chronic pain, defined by at least 6-months duration analgesics treatment or by a diagnosis/long-term illness of chronic pain between 2006 and 2010, were included. Chronic pain individuals were matched with non-CP individuals by a propensity score. Individuals were followed up from 9 to 13 years to identify occurrences of ADRD from 2006. Results Among 64,496 French individuals, the incidence of ADRD was higher in the chronic pain population than control (1.13% vs. 0.95%, p <0.001). Chronic pain increases the risk of ADRD (HR = 1.23) and the incidence of ADRD was higher for women and increased significantly with age. Discussion Our study highlights the importance of prevention, diagnosis, and management of chronic pain in elderly to reduce the risk of development and/or worsening of dementia.
Collapse
Affiliation(s)
- Nadège Bornier
- Service de Pharmacologie Médicale, Direction de la Recherche Clinique et de L’Innovation, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Aurélien Mulliez
- Service de Pharmacologie Médicale, Direction de la Recherche Clinique et de L’Innovation, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Chouki Chenaf
- Service de Pharmacologie Médicale, Direction de la Recherche Clinique et de L’Innovation, Université Clermont Auvergne, Clermont-Ferrand, France
- Institut Analgesia, Clermont-Ferrand, France
| | - Antoine Elyn
- Centre D’Évaluation et de Traitement de la Douleur, Service de Neurochirurgie, Pôle Neuroscience, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Sarah Teixeira
- Service de Pharmacologie Médicale, Direction de la Recherche Clinique et de L’Innovation, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Nicolas Authier
- Service de Pharmacologie Médicale, Direction de la Recherche Clinique et de L’Innovation, Université Clermont Auvergne, Clermont-Ferrand, France
- Institut Analgesia, Clermont-Ferrand, France
| | - Célian Bertin
- Service de Pharmacologie Médicale, Direction de la Recherche Clinique et de L’Innovation, Université Clermont Auvergne, Clermont-Ferrand, France
- Institut Analgesia, Clermont-Ferrand, France
| | - Nicolas Kerckhove
- Service de Pharmacologie Médicale, Direction de la Recherche Clinique et de L’Innovation, Université Clermont Auvergne, Clermont-Ferrand, France
- Institut Analgesia, Clermont-Ferrand, France
| |
Collapse
|
8
|
Cheng Y, Xie D, Han Y, Guo S, Sun Z, Jing L, Man W, Liu D, Yang K, Lei D, Meng Z, Zhang H, Wang G, Wu W, Wang G, Lu Y. Precise management system for chronic intractable pain patients implanted with spinal cord stimulation based on a remote programming platform: study protocol for a randomized controlled trial (PreMaSy study). Trials 2023; 24:580. [PMID: 37691092 PMCID: PMC10494385 DOI: 10.1186/s13063-023-07595-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/18/2023] [Indexed: 09/12/2023] Open
Abstract
BACKGROUND Spinal cord stimulation (SCS) is a surgical technique used in patients with chronic intractable pain, and its effectiveness and safety have been validated by multiple studies. However, to maintain an optimal and steady long-term effect is still challenging. Here, we report a new management paradigm integrating smartphone application and remote programming. Chronic pain patients with SCS implants can monitor their pain status on the phone and change stimulation parameters accordingly. The PreMaSy study is a randomized controlled trial to evaluate the clinical effectiveness and safety of this precise management system. METHODS Patients with chronic intractable pain will be screened for eligibility, and 82 participants are anticipated to be enrolled in this trial. After the electrode implantation, the stimulation effectiveness will be tested. Participants with a reduction of more than 50% in the visual analog scale (VAS) will receive implantation of an implantable pulse generator and randomized (1:1) into the experimental group or control group. All participants will be asked to take online follow-ups and complete assessments using a smartphone application. Daily pain characteristic assessments and monthly quality of life questionnaires are integrated into the App, and participants will be required to complete these assessments. The daily VAS for pain intensity will be monitored and a threshold will be set based on baseline VAS score. The interventional appointment will be scheduled once the threshold is reached. The primary outcome is the health condition and quality of life assessed by the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L). Utility values of EQ-5D-5L will be assessed at baseline and 1, 3, and 6 months post-operative. DISCUSSION The PreMaSy study aims to evaluate the effectiveness and safety of a novel App-based, patient-centered, self-assessment management system for chronic intractable pain. A randomized controlled trial is designed to test the non-inferiority of this precise management system compared to the monthly online follow-ups. It is also expected to yield valuable experiences regarding precision medicine. TRIAL REGISTRATION ClinicalTrials.gov NCT05761392. Registered on March 07, 2023.
Collapse
Affiliation(s)
| | - Duo Xie
- Air Force Medical Center PLA, Beijing, China
| | - Yan Han
- Department of Neurology Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Siying Guo
- School of Medicine, Tsinghua University, Beijing, China
| | - Zhenxing Sun
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Linkai Jing
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Weitao Man
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Dongkang Liu
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Kaiyuan Yang
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Dan Lei
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Zhe Meng
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Huifang Zhang
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Guoqin Wang
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Weiwei Wu
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
| | - Guihuai Wang
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
| | - Yang Lu
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
- Institute for Precision Medicine, Tsinghua University, Beijing, China.
| |
Collapse
|
9
|
Kheirinejad S, Visuri A, Suryanarayana SA, Hosio S. Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits. Heliyon 2023; 9:e16586. [PMID: 37346357 PMCID: PMC10279785 DOI: 10.1016/j.heliyon.2023.e16586] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/23/2023] Open
Abstract
The adoption of Mobile Health (mHealth) for self-management is growing. mHealth solutions are commonly used in public healthcare and health services, where they are appreciated for their ease of use, broad reach, and wide acceptance. Chronic Low Back Pain (CLBP) is one of the most common health problems and a leading cause of disability. As such, it imposes a tremendous burden on patients and society. Studies have proposed that mHealth self-management solutions, such as mobile applications, can supplement traditional care methods and benefit patients, particularly in self-managing CLBP easier. To this end, the number of available mobile applications for CLBP has increased. This paper i) provides an overview of scientific studies on mobile applications for CLBP management from three different viewpoints: researchers, health professionals, and patients, ii) uncovers the application features that were seen as beneficial in the studies, and iii) contrasts the currently available applications for CLBP in Google Play Store and Apple App Store against the discovered features. The findings show that "Personalization and customization" is the most significant feature as it is beneficial from stakeholders' viewpoint and is represented by most applications. In contrast, "Gamification" and "Artificial intelligence" are the least significant features, indicating a lack of attention from application creators and researchers in this area.
Collapse
|