Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
Abstract Background Epilepsy, multiple sclerosis (MS) and depression are long term, central nervous system disorders which have a significant impact on everyday life. Evaluating symptoms of these conditions is problematic and typically involves repeated visits to a clinic. Remote measurement technol...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-05-01
|
| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-022-01856-z |
| _version_ | 1811304845693419520 |
|---|---|
| author | J. A. Andrews M. P. Craven A. R. Lang B. Guo R. Morriss C. Hollis The RADAR-CNS Consortium |
| author_facet | J. A. Andrews M. P. Craven A. R. Lang B. Guo R. Morriss C. Hollis The RADAR-CNS Consortium |
| author_sort | J. A. Andrews |
| collection | DOAJ |
| description | Abstract Background Epilepsy, multiple sclerosis (MS) and depression are long term, central nervous system disorders which have a significant impact on everyday life. Evaluating symptoms of these conditions is problematic and typically involves repeated visits to a clinic. Remote measurement technology (RMT), consisting of smartphone apps and wearables, may offer a way to improve upon existing methods of managing these conditions. The present study aimed to establish the practical requirements that would enable clinical integration of data from patients’ RMT, according to healthcare professionals. Methods This paper reports findings from an online survey of 1006 healthcare professionals currently working in the care of people with epilepsy, MS or depression. The survey included questions on types of data considered useful, how often data should be collected, the value of RMT data, preferred methods of accessing the data, benefits and challenges to RMT implementation, impact of RMT data on clinical practice, and requirement for technical support. The survey was presented on the JISC online surveys platform. Results Among this sample of 1006 healthcare professionals, respondents were positive about the benefits of RMT, with 73.2% indicating their service would be likely or highly likely to benefit from the implementation of RMT in patient care plans. The data from patients’ RMT devices should be made available to all nursing and medical team members and could be reviewed between consultations where flagged by the system. However, results suggest it is also likely that RMT data would be reviewed in preparation for and during a consultation with a patient. Time to review information is likely to be one of the greatest barriers to successful implementation of RMT in clinical practice. Conclusions While further work would be required to quantify the benefits of RMT in clinical practice, the findings from this survey suggest that a wide array of clinical team members treating epilepsy, MS and depression would find benefit from RMT data in the care of their patients. Findings presented could inform the implementation of RMT and other digital interventions in the clinical management of a range of neurological and mental health conditions. |
| first_indexed | 2024-04-13T08:14:39Z |
| format | Article |
| id | doaj.art-55d383416f3e492c802712b8656dfdaa |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-04-13T08:14:39Z |
| publishDate | 2022-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-55d383416f3e492c802712b8656dfdaa2022-12-22T02:54:50ZengBMCBMC Medical Informatics and Decision Making1472-69472022-05-0122111310.1186/s12911-022-01856-zMaking remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionalsJ. A. Andrews0M. P. Craven1A. R. Lang2B. Guo3R. Morriss4C. Hollis5The RADAR-CNS Consortium6NIHR MindTech MedTech Co-operative, Institute of Mental Health, University of NottinghamNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of NottinghamHuman Factors Research Group, Faculty of Engineering, University of NottinghamARC-EM, School of Medicine, University of NottinghamNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of NottinghamNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of NottinghamKings College LondonAbstract Background Epilepsy, multiple sclerosis (MS) and depression are long term, central nervous system disorders which have a significant impact on everyday life. Evaluating symptoms of these conditions is problematic and typically involves repeated visits to a clinic. Remote measurement technology (RMT), consisting of smartphone apps and wearables, may offer a way to improve upon existing methods of managing these conditions. The present study aimed to establish the practical requirements that would enable clinical integration of data from patients’ RMT, according to healthcare professionals. Methods This paper reports findings from an online survey of 1006 healthcare professionals currently working in the care of people with epilepsy, MS or depression. The survey included questions on types of data considered useful, how often data should be collected, the value of RMT data, preferred methods of accessing the data, benefits and challenges to RMT implementation, impact of RMT data on clinical practice, and requirement for technical support. The survey was presented on the JISC online surveys platform. Results Among this sample of 1006 healthcare professionals, respondents were positive about the benefits of RMT, with 73.2% indicating their service would be likely or highly likely to benefit from the implementation of RMT in patient care plans. The data from patients’ RMT devices should be made available to all nursing and medical team members and could be reviewed between consultations where flagged by the system. However, results suggest it is also likely that RMT data would be reviewed in preparation for and during a consultation with a patient. Time to review information is likely to be one of the greatest barriers to successful implementation of RMT in clinical practice. Conclusions While further work would be required to quantify the benefits of RMT in clinical practice, the findings from this survey suggest that a wide array of clinical team members treating epilepsy, MS and depression would find benefit from RMT data in the care of their patients. Findings presented could inform the implementation of RMT and other digital interventions in the clinical management of a range of neurological and mental health conditions.https://doi.org/10.1186/s12911-022-01856-zRemote measurement technologyMultiple sclerosisEpilepsyDepressionHealthcare professionalsSurvey |
| spellingShingle | J. A. Andrews M. P. Craven A. R. Lang B. Guo R. Morriss C. Hollis The RADAR-CNS Consortium Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals BMC Medical Informatics and Decision Making Remote measurement technology Multiple sclerosis Epilepsy Depression Healthcare professionals Survey |
| title | Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals |
| title_full | Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals |
| title_fullStr | Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals |
| title_full_unstemmed | Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals |
| title_short | Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals |
| title_sort | making remote measurement technology work in multiple sclerosis epilepsy and depression survey of healthcare professionals |
| topic | Remote measurement technology Multiple sclerosis Epilepsy Depression Healthcare professionals Survey |
| url | https://doi.org/10.1186/s12911-022-01856-z |
| work_keys_str_mv | AT jaandrews makingremotemeasurementtechnologyworkinmultiplesclerosisepilepsyanddepressionsurveyofhealthcareprofessionals AT mpcraven makingremotemeasurementtechnologyworkinmultiplesclerosisepilepsyanddepressionsurveyofhealthcareprofessionals AT arlang makingremotemeasurementtechnologyworkinmultiplesclerosisepilepsyanddepressionsurveyofhealthcareprofessionals AT bguo makingremotemeasurementtechnologyworkinmultiplesclerosisepilepsyanddepressionsurveyofhealthcareprofessionals AT rmorriss makingremotemeasurementtechnologyworkinmultiplesclerosisepilepsyanddepressionsurveyofhealthcareprofessionals AT chollis makingremotemeasurementtechnologyworkinmultiplesclerosisepilepsyanddepressionsurveyofhealthcareprofessionals AT theradarcnsconsortium makingremotemeasurementtechnologyworkinmultiplesclerosisepilepsyanddepressionsurveyofhealthcareprofessionals |