Combining Standard Conventional Measures and Ecological Momentary Assessment of Depression, Anxiety and Coping Using Smartphone Application in Minor Stroke Population: A Longitudinal Study Protocol
Open accessAbstract
Context: Stroke has several consequences on survivors’ daily life even for those who experience short-lasting neurological symptoms with no functional disability. Depression and anxiety are common psychological disorders occurring after a stroke. They affect long-term outcomes and quality of life but they are difficult to diagnose because of the neurobiological consequences of brain lesions. Current research priority is given to the improvement of the detection and prevention of those post-stroke psychological disorders. Although previous studies have brought promising perspectives, their designs based on retrospective tools involve some limits regarding their ecological validity. Ecological Momentary Assessment (EMA) is an alternative to conventional instruments that could be a key in research for understanding processes that underlined post-stroke depression and anxiety onset. We aim to evaluate the feasibility and validity of anxiety, depression and coping EMA for minor stroke patients. Methods: Patients hospitalized in an Intensive Neuro-vascular Care Unit between April 2016 and January 2017 for a minor stroke are involved in a study based on an EMA methodology. We use a smartphone application in order to assess anxiety and depression symptoms and coping strategies four times a day during one week at three different times after stroke (hospital discharge, two months and four months). Participants’ self-reports and clinician-rates of anxiety, depression and coping are collected simultaneously using conventional and standard instruments. Feasibility of the EMA method will be assessed considering the participation and compliance rate. Validity will be the assessed by comparing EMA and conventional self-report and clinician-rated measures. Discussion: We expect this study to contribute to the development of EMA using smartphone in minor stroke population. EMA method offers promising research perspective in the assessment and understanding of post-stroke psychological disorders. The development of EMA in stroke population could lead to clinical implications such as remotely psychological follow-ups during early supported discharge. Trial registration: European Clinical Trials Database Number 2014-A01937-40
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A range of reviewed studies measured the number of outcome surveys completed from those assigned.
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From A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review (2019) · cites this paper as [45]
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McGinnes, A. (2009) · British Journal of Neuroscience Nursing · doi:10.12968/bjnn.2009.5.12.45648 · Cited by 6 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
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Cited by
Sorted by citations
Pham, Q., Graham, G., Carrion, C., Morita, P. P., Seto, E., Stinson, J. N., & Cafazzo, J. A. (2019) · JMIR mHealth and uHealth · doi:10.2196/11941 · Cited by 131 · see citing works
Jaso, B. A., Kraus, N. I., & Heller, A. S. (2021) · Psychological Methods · doi:10.1037/met0000312 · Cited by 58 · see citing works
Risk Factors for Symptoms of Depression and Anxiety One Year Poststroke: A Longitudinal Study
Kootker, J. A., van Mierlo, M. L., Hendriks, J. C. M., Sparidans, J., Rasquin, S. M. C., de Kort, P. L. M., Visser‐Meily, J. M. A., & Geurts, A. C. H. (2016) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2016.01.019 · Cited by 44 · see citing works
Khazaal, W., Taliani, M., Boutros, C., Abou-Abbas, L., Hosseini, H., Salameh, P., & Sadier, N. S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.663267 · Cited by 31 · see citing works
Demers, M., & Winstein, C. J. (2020) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2020.1856557 · Cited by 23 · see citing works
Boutros, C. F., Khazaal, W., Taliani, M., Sadier, N. S., Salameh, P., & Hosseini, H. (2022) · Brain and Behavior · doi:10.1002/brb3.2837 · Cited by 17 · see citing works
Apps in der Sekundärprävention nach Schlaganfall
Fruhwirth, V., Enzinger, C., Weiss, E. M., Schwerdtfeger, A. R., Gattringer, T., & Pinter, D. (2019) · Wiener Medizinische Wochenschrift · doi:10.1007/s10354-019-00707-3 · Cited by 14 · see citing works
Tadayon, H., Farzandipour, M., Nabovati, E., Akbari, H., & Masoud, S. A. (2022) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-022-02033-y · Cited by 8 · see citing works
Goal-oriented action: New perspectives with special emphasis on neurorehabilitation
Winstein, C. J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23987-8.00002-x · Cited by 4 · see citing works
Demers, M., & Winstein, C. J. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2026.1707789 · Cited by 2 · see citing works
Modèle en réseau et troubles mentaux : application et intérêts dans la dépression post-AVC
Vansimaeys, C., Zuber, M., Pitrat, B., Farhat, W. H., Join-Lambert, C., Tamazyan, R., & Bungener, C. (2020) · L Encéphale · doi:10.1016/j.encep.2020.08.007 · Cited by 1 · see citing works
Self-citationBoutros, C. F., Khazaal, W., Taliani, M., Sadier, N. S., Salameh, P., & Hosseini, H. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06997-9 · Cited by 1 · see citing works
Tadayon, H., Farzandipour, M., Nabovati, E., Akbari, H., & Masoud, S. A. (2021) · Research Square · doi:10.21203/rs.3.rs-284523/v1
Gilchrist, L. S., Kocian, A., Carroll, G. L., Sturm, K., Castro‐Pearson, S., Cooper, C., & Radomski, M. V. (2025) · Rehabilitation Oncology · doi:10.1097/01.reo.0000000000000399
Ranucci, L., Gorini, A., Parati, M., Marcelli, A. C., Zingale, L. C., MARIA, B. D., Gino, C., Zulueta, A., Sideri, R., Senter, R., et al. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1799040
Neuropsychiatric risk stratification in post-stroke anxiety and depression
Fang-ling, Y., Chen, J.-X., & Gong, Y. (2026) · World Journal of Psychiatry · doi:10.5498/wjp.117870
Meier, E. L., Hester, J., Le, H., Fletcher, V., Phan, H.-D., Ugent, L., & Intille, S. S. (2026) · American Journal of Speech-Language Pathology · doi:10.1044/2026_ajslp-25-00580
- Authors
- Vansimaeys, C., Zuber, M., Pitrat, B., Join-Lambert, C., Tamazyan, R., Farhat, W., & Bungener, C.
- Affiliations
- Université Paris Cité (FR)
- Hôpital Paris Saint-Joseph (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Corresponding author
- Vansimaeys, Camille
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2017-07-12
- Volume
- 8
- Pages
- 1172-1172
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC5506189
- OpenAlex
- W2724500434
- Cited by
- 18
- References
- 94
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 1 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 2 · 2016: 1
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- minor stroke, post-stroke depression, post-stroke anxiety, coping strategies, ecological momentary assessment, mobile application, feasibility, validity, early discharge
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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