Academic Journal
Associations between smartphone GPS data and changes in psychological health and burden outcomes among family caregivers and patients with advanced cancer: an exploratory longitudinal cohort study.
| Τίτλος: | Associations between smartphone GPS data and changes in psychological health and burden outcomes among family caregivers and patients with advanced cancer: an exploratory longitudinal cohort study. |
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| Συγγραφείς: | Odom JN; School of Nursing, University of Alabama at Birmingham, 1720 2nd Avenue South, NB 485J, Birmingham, AL, 35294-1210, USA. dionneod@uab.edu.; Division of Gerontology, Geriatrics, and Palliative Care, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA. dionneod@uab.edu.; Center for Palliative and Supportive Care, University of Alabama at Birmingham, Birmingham, AL, USA. dionneod@uab.edu., Lee K; Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, USA., Harrell ER; National Institute on Aging, National Institutes of Health, Bethesda, MD, USA., Watts KA; Division of General Internal Medicine and Population Science, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA., Bechthold AC; School of Nursing, University of Alabama at Birmingham, 1720 2nd Avenue South, NB 485J, Birmingham, AL, 35294-1210, USA., Engler S; School of Nursing, University of Alabama at Birmingham, 1720 2nd Avenue South, NB 485J, Birmingham, AL, 35294-1210, USA., Puga F; School of Nursing, University of Alabama at Birmingham, 1720 2nd Avenue South, NB 485J, Birmingham, AL, 35294-1210, USA., Bibriescas N; School of Nursing, University of Alabama at Birmingham, 1720 2nd Avenue South, NB 485J, Birmingham, AL, 35294-1210, USA., Kamal AH; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.; American Cancer Society, Kennesaw, GA, USA., Ritchie CS; Division of Palliative Care and Geriatric Medicine, Mongan Institute Center for Aging and Serious Illness, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA., Demiris G; Department of Biobehavioral Health Sciences, School of Nursing & Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Wright AA; Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medicine School, Boston, MA, USA., Bakitas MA; School of Nursing, University of Alabama at Birmingham, 1720 2nd Avenue South, NB 485J, Birmingham, AL, 35294-1210, USA.; Division of Gerontology, Geriatrics, and Palliative Care, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.; Center for Palliative and Supportive Care, University of Alabama at Birmingham, Birmingham, AL, USA., Azuero A; School of Nursing, University of Alabama at Birmingham, 1720 2nd Avenue South, NB 485J, Birmingham, AL, 35294-1210, USA. |
| Πηγή: | BMC cancer [BMC Cancer] 2025 Apr 04; Vol. 25 (1), pp. 614. Date of Electronic Publication: 2025 Apr 04. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, [2001- |
| Ιατρικοί όροι (MeSH): | Caregivers*/psychology , Smartphone*/statistics & numerical data , Neoplasms*/psychology , Neoplasms*/therapy , Geographic Information Systems*, Anxiety/psychology ; Anxiety/epidemiology ; Depression/epidemiology ; Depression/psychology ; Humans ; Longitudinal Studies ; Male ; Female ; Middle Aged ; Aged ; Adult ; Mental Health ; Cost of Illness ; Stress, Psychological ; Self Report |
| Περίληψη: | Background: Managing advanced cancer can be psychologically distressing and burdensome for family caregivers and their care recipients. Innovations in the collection and modelling of passive data from personally-owned smartphones (e.g., GPS), called digital phenotyping, may afford the possibility of remotely monitoring and detecting distress and burden. We explored the potential of using passively-collected GPS data from smartphones to assess and predict caregiver and patient distress and burden. Methods: This exploratory longitudinal cohort study enrolled smartphone-owning family caregiver and patient participants with advanced cancer (August 2021-July 2023) recruited via an oncology clinic or self-referral through Facebook. Participants downloaded a digital phenotyping research app, called Beiwe, that passively collected GPS data for 24 weeks. Participants completed self-report measures (PROs) of anxiety and depressive symptoms (Hospital Anxiety and Depression Scale [HADS]), mental health (PROMIS Mental Health), and caregiver burden (Montgomery-Borgatta Caregiver Burden scale) at baseline and every 6 weeks for 24 weeks. After pre-processing raw GPS data into daily GPS features (e.g., time spent at home, distance traveled/day), computing biweekly moving averages and standard deviations, and conducting a principal components analysis (PCA) of the resulting variables, within-person regression models were used to assess associations between changes in PRO measures and changes in PCA scores, with adjusted-R2 as the measure of effect size (small = 0.02, medium = 0.13, large = 0.26). Results: Evaluable data were collected from 48 participants (family caregivers = 32; patients = 16). Caregiver smartphone data explained small-to-medium variance in caregiver anxiety (0.06), depression (0.15), and mental health (0.07). Patient smartphone data predicted small to medium variance in caregiver depressive symptoms (0.12) and burden (0.05). Combined caregiver and patient smartphone data explained small variance in caregiver depressive (0.02) and anxiety symptoms (0.10) and large variance for PROMIS-mental health (0.36) and burden (0.50). For patient outcomes, caregiver smartphone data accounted for small variance in anxiety symptoms (0.07); patient smartphone data predicted large variance in anxiety symptoms (0.24). Combined data explained medium variance in patient depressive symptoms (0.18). Conclusions: The exploratory study demonstrates the potential predictive utility of using passive smartphone data to detect changes in caregiver and patient psychological distress and burden. A larger study is needed to validate these findings and further explore the clinical application of digital phenotyping in cancer. (© 2025. The Author(s).) |
| Competing Interests: | Declarations. Ethics approval and consent to participate: This study was approved by the University of Alabama at Birmingham Institutional Review Board (IRB-300006575). All caregiver and patient participants completed informed consent. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests. |
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| Grant Information: | P30 CA013148 United States CA NCI NIH HHS; no grant number Cambia Health Foundation |
| Contributed Indexing: | Keywords: Advanced cancer; Digital phenotyping; Family caregivers; Remote monitoring |
| Entry Date(s): | Date Created: 20250404 Date Completed: 20250515 Latest Revision: 20260307 |
| Update Code: | 20260307 |
| PubMed Central ID: | PMC11971861 |
| DOI: | 10.1186/s12885-025-14009-y |
| PMID: | 40186196 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1471-2407 |
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| DOI: | 10.1186/s12885-025-14009-y |