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用于强迫症的移动健康:患者偏好及对以患者为中心的认知

Mobile Health for Obsessive-Compulsive Disorder: Patients' Preferences and Perception of Patient-Centeredness.

作者信息

Araújo Ana Isabel, Pereira Ana Telma, Duarte Isabel Catarina, Cardoso Remy, Castelo-Branco Miguel, Macedo António

机构信息

Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal; Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, 3000-548 Coimbra, Portugal; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, 3000-548 Coimbra, Portugal; Department of Psychiatry, Coimbra Hospital and University Centre, 3004-561 Coimbra, Portugal.

Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal; Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, 3000-548 Coimbra, Portugal; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, 3000-548 Coimbra, Portugal.

出版信息

Actas Esp Psiquiatr. 2025 Jan;53(1):100-109. doi: 10.62641/aep.v53i1.1715.

DOI:10.62641/aep.v53i1.1715
PMID:39801413
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11726213/
Abstract

BACKGROUND

The increasingly fast development of mobile health technologies holds significant value for individuals dealing with mental health conditions. However, inadequate consideration of patients' preferences and expectations undermines real-world outcomes, including sustained adherence. Driven by the belief that specific characteristics, such as youth and higher education, of individuals with obsessive-compulsive disorder make them suitable for digital adoption, we investigated mHealth-related desirability factors within this patient group.

METHODS

Fifty-one conveniently selected adults with obsessive-compulsive disorder filled in a self-report questionnaire about symptom self-management preferences, with an emphasis on assessing mobile health options and perceptions of patient-centeredness.

RESULTS

The smartphone phone app emerged as the top choice of most of the sample for receiving information about symptom status (82.4%), obtaining general information about obsessive-compulsive disorder (74.5%), and symptom self-registration (66.7%), with no significant effect of sex or living location. Although only 23.5% of participants were using a health-related app, most expressed interest in using it for receiving symptom management tips (98.1%), medical advice (94.2%), symptom evolution updates (90.2%), lifestyle information (92.2%), medication tracking (88.2%) and short symptom self-reports (90.2%). Median expectations regarding mobile health's impact on patient-centeredness, satisfaction, and adherence were positive or very positive.

CONCLUSIONS

Our data confirm that individuals with obsessive-compulsive disorder exhibit strong inclinations and optimistic expectations toward technology-based solutions. We highlight some of the preferences within this patient group, which can inform the design of practical, real-world applications.

摘要

背景

移动健康技术的快速发展对患有精神健康问题的个体具有重要价值。然而,对患者偏好和期望的考虑不足会影响实际效果,包括持续的依从性。由于坚信强迫症患者的特定特征(如年轻和高等教育程度)使他们适合采用数字技术,我们调查了该患者群体中与移动健康相关的期望因素。

方法

方便选取51名患有强迫症的成年人填写一份关于症状自我管理偏好的自我报告问卷,重点评估移动健康选项和以患者为中心的认知。

结果

智能手机应用程序成为大多数样本接收症状状态信息(82.4%)、获取强迫症一般信息(74.5%)和症状自我登记(66.7%)的首选,性别和居住地点无显著影响。尽管只有23.5%的参与者在使用与健康相关的应用程序,但大多数人表示有兴趣使用它来接收症状管理提示(98.1%)、医疗建议(94.2%)、症状演变更新(90.2%)、生活方式信息(92.2%)、药物跟踪(88.2%)和简短的症状自我报告(90.2%)。关于移动健康对以患者为中心、满意度和依从性影响的预期中位数为积极或非常积极。

结论

我们的数据证实,强迫症患者对基于技术的解决方案表现出强烈的倾向和乐观的期望。我们强调了该患者群体中的一些偏好,可为实际的现实应用设计提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c201/11726213/89db0d64b45b/ActEsp-53-1-100-109-F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c201/11726213/25b6a6a1625b/ActEsp-53-1-100-109-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c201/11726213/e96bfc314635/ActEsp-53-1-100-109-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c201/11726213/89db0d64b45b/ActEsp-53-1-100-109-F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c201/11726213/25b6a6a1625b/ActEsp-53-1-100-109-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c201/11726213/e96bfc314635/ActEsp-53-1-100-109-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c201/11726213/89db0d64b45b/ActEsp-53-1-100-109-F3.jpg

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本文引用的文献

1
Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology.从统一接受和使用技术理论的角度预测移动医疗的接受度。
Sci Rep. 2024 Jan 3;14(1):339. doi: 10.1038/s41598-023-50436-2.
2
Telemonitoring in Portugal: where do we stand and which way forward?葡萄牙的远程监护:我们的现状和未来发展方向?
Health Policy. 2023 May;131:104761. doi: 10.1016/j.healthpol.2023.104761. Epub 2023 Mar 5.
3
Memory trace imbalance in reinforcement and punishment systems can reinforce implicit choices leading to obsessive-compulsive behavior.
强化和惩罚系统中的记忆痕迹失衡会加强导致强迫行为的内隐选择。
Cell Rep. 2022 Aug 30;40(9):111275. doi: 10.1016/j.celrep.2022.111275.
4
Beyond effectiveness evaluation: Contributing to the discussion on complexity of digital health interventions with examples from cancer care.超越有效性评估:以癌症护理为例,为数字健康干预措施的复杂性讨论做出贡献。
Front Public Health. 2022 Jul 22;10:883315. doi: 10.3389/fpubh.2022.883315. eCollection 2022.
5
Digital health tools for the passive monitoring of depression: a systematic review of methods.用于抑郁症被动监测的数字健康工具:方法的系统评价
NPJ Digit Med. 2022 Jan 11;5(1):3. doi: 10.1038/s41746-021-00548-8.
6
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials.移动健康应用程序在慢性病管理中的发展特点与研究特征:随机试验的系统评价
NPJ Digit Med. 2021 Oct 5;4(1):144. doi: 10.1038/s41746-021-00517-1.
7
Validation of quantitative gait analysis systems for Parkinson's disease for use in supervised and unsupervised environments.验证用于监督和非监督环境的帕金森病定量步态分析系统。
BMC Neurol. 2021 Aug 28;21(1):331. doi: 10.1186/s12883-021-02354-x.
8
A Development Pathway Towards Precision Mental Health Care.迈向精准精神卫生保健的发展路径。
JAMA Psychiatry. 2020 Sep 1;77(9):889-890. doi: 10.1001/jamapsychiatry.2020.1048.
9
Beyond validation: getting health apps into clinical practice.超越验证:将健康应用程序应用于临床实践。
NPJ Digit Med. 2020 Feb 3;3:14. doi: 10.1038/s41746-019-0212-z. eCollection 2020.
10
What is the clinical value of mHealth for patients?移动健康对患者的临床价值是什么?
NPJ Digit Med. 2020 Jan 13;3:4. doi: 10.1038/s41746-019-0206-x. eCollection 2020.