scholarly journals Exploring and Characterizing Patient Multi-Behavior Engagement Trails and Patient Behavior Preference Patterns in the Pathway-Based mHealth Hypertension Self-Management: Analysis of Usage Data (Preprint)

10.2196/33189 ◽  
2021 ◽  
Author(s):  
Dan Wu ◽  
Xiaoyuan Huyan ◽  
Yutong She ◽  
Junbin Hu ◽  
Huilong Duan ◽  
...  
Keyword(s):  
Self Management ◽  
Patient Behavior ◽  
Preference Patterns ◽  
Behavior Preference ◽  
Usage Data

Exploring and Characterizing Patient Multi-Behavior Engagement Trails and Patient Behavior Preference Patterns in the Pathway-Based mHealth Hypertension Self-Management: Analysis of Usage Data (Preprint)

2021 ◽  
Author(s):  
Dan Wu ◽  
Xiaoyuan Huyan ◽  
Yutong She ◽  
Junbin Hu ◽  
Huilong Duan ◽  
...  
Keyword(s):  
Markov Chain ◽  
High Probability ◽  
Transition Probability ◽  
Education Level ◽  
Self Management ◽  
Patient Behavior ◽  
Health Report ◽  
Preference Patterns ◽  
Behavior Preference ◽  
And Task

BACKGROUND Hypertension is a long-term medical condition. Mobile health services can help out-of-hospital patients to self-manage. However, not all management is effective, which may be because the behavior mechanism and behavior preferences of patients with various characteristics in hypertension management were unclear. OBJECTIVE The purpose of this study was to (1) explore patient multi-behavior engagement trails in the pathway-based hypertension self-management; (2) discover patient behavior preference patterns; (3) identify the characteristics of patients with different behavior preferences. METHODS This study included 863 hypertensive patients who generated 295,855 usage records in the mHealth app from December 28, 2016 to July 2, 2020. Markov Chain was used to infer the patient multi-behavior engagement trails, which contained the type, quantity, time spent, sequence, and transition probability of patient behavior. K-means algorithm was used to group patients by the normalized behavior preference features: the number of behavioral states that a patient performed in each trail. The pages in the app represented the behavior states. Chi-square tests, Z-test, analysis of variances, and Bonferroni multiple comparisons were conducted to characterize the patient behavior preference patterns. RESULTS Markov Chain analysis revealed 3 types of behavior transition (one-way transition, cycle-transition, and self-transition) and 4 trails of patient multi-behavior engagement. In perform task trail (PT-T), Patients preferred to start self-management from the states of Task BP (0.29), Task Drug (0.18), and Task Weight (0.20), and spent more time on the Task Food state (35.87s). Some patients entered the states of Task BP (0.20) and Task Drug (0.25) from the Reminder Item state. In result-oriented trail (RO-T), patients spent more energy on the Ranking state (19.66s) compared the Health Report state (13.52s). In knowledge learning trail (KL-T), there was a high probability of cycle-transition (0.47, 0.31) between the states of Knowledge List and Knowledge Content. In support acquisition trail (SA-T), there was a high probability of self-transition in the Questionnaire (0.29) state. K-means analysis discovered 3 patient behavior preference patterns: only PT-T, PT-T and KL-T, and PT-T and SA-T. There were statistically significant associations between the behavior preference pattern and gender, education level, and blood pressure (BP). CONCLUSIONS This study identified the dynamic, longitudinal, and multi-dimension characteristics of patient behavior. Patients preferred to focus on BP, medications, and weight conditions, and pay attention to BP and medications using reminders. The diet management and questionnaires were complicated and difficult to implement and record. Competitive methods such as ranking were more likely to attract patients to pay attention to their own self-management states. Female patients with lower education level and poor-controlled BP were more likely to be highly involved in hypertension health education.

scholarly journals Crossing the Digital Divide in Online Self-Management Support: Analysis of Usage Data From HeLP-Diabetes

JMIR Diabetes ◽  
10.2196/10925 ◽  
2018 ◽  
Vol 3 (4) ◽  
pp. e10925 ◽  
Author(s):  
Shoba Poduval ◽  
Saddif Ahmed ◽  
Louise Marston ◽  
Fiona Hamilton ◽  
Elizabeth Murray
Keyword(s):  
Digital Divide ◽  
Self Management ◽  
Management Support ◽  
Usage Data

Behavioral self-management of oral hygiene activities for student dentists

1985 ◽  
Vol 49 (10) ◽  
pp. 718-720
Author(s):  
FD McGlynn ◽  
EL Mings ◽  
GS Marks ◽  
G Goebel
Keyword(s):  
Oral Hygiene ◽  
Self Management

The Relationship Between Hearing Loss Self-Management and Hearing Aid Benefit and Satisfaction

2019 ◽  
Vol 28 (2) ◽  
pp. 274-284 ◽  
Author(s):  
Elizabeth Convery ◽  
Gitte Keidser ◽  
Louise Hickson ◽  
Carly Meyer
Keyword(s):  
Decision Making ◽  
Hearing Loss ◽  
Hearing Aids ◽  
Clinical Decision Making ◽  
Hearing Aid ◽  
Well Being ◽  
Self Report ◽  
Self Management ◽  
Hearing Aid Benefit ◽  
The Relationship

Purpose Hearing loss self-management refers to the knowledge and skills people use to manage the effects of hearing loss on all aspects of their daily lives. The purpose of this study was to investigate the relationship between self-reported hearing loss self-management and hearing aid benefit and satisfaction. Method Thirty-seven adults with hearing loss, all of whom were current users of bilateral hearing aids, participated in this observational study. The participants completed self-report inventories probing their hearing loss self-management and hearing aid benefit and satisfaction. Correlation analysis was used to investigate the relationship between individual domains of hearing loss self-management and hearing aid benefit and satisfaction. Results Participants who reported better self-management of the effects of their hearing loss on their emotional well-being and social participation were more likely to report less aided listening difficulty in noisy and reverberant environments and greater satisfaction with the effect of their hearing aids on their self-image. Participants who reported better self-management in the areas of adhering to treatment, participating in shared decision making, accessing services and resources, attending appointments, and monitoring for changes in their hearing and functional status were more likely to report greater satisfaction with the sound quality and performance of their hearing aids. Conclusion Study findings highlight the potential for using information about a patient's hearing loss self-management in different domains as part of clinical decision making and management planning.

A Case Study: Unique Challenges of an Adolescent Female With Autism Spectrum Disorder

2020 ◽  
Vol 5 (1) ◽  
pp. 314-325
Author(s):  
Kimberly F. Frazier ◽  
Jessica Collier ◽  
Rachel Glade
Keyword(s):  
Autism Spectrum Disorder ◽  
Cognitive Abilities ◽  
Social Cognitive ◽  
Social Performance ◽  
Management Strategies ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Self Management ◽  
Adolescent Female ◽  
Social Thinking

Background The aim of this study was to determine the clinical efficacy of combining self-management strategies and a social thinking approach to address the social performance and executive function of an adolescent female with autism spectrum disorder. Method This research examined the effects of a social knowledge training program, “Think Social,” as well as strategies to improve higher order cognitive abilities. Results and Conclusion Although quantitative improvement was not found, several qualitative gains in behavior were noted for the participants of this study, suggesting a benefit from using structured environmental cues of self-management strategies, as well as improved social understanding through social cognitive training.

Self-Management Key to Beating Obesity in Youth

2006 ◽  
Vol 39 (5) ◽  
pp. 35
Author(s):  
DOUG BRUNK
Keyword(s):  
Self Management

Abstract #70: Supervised Autonomy with Diabetes Self-Management by Using Telemedicine Allows Better Glycemic Control in Patients with Diabetes

2003 ◽  
Vol 9 ◽  
pp. 27
Author(s):  
M. Rigla ◽  
E. Brugués ◽  
E. Gómez ◽  
E. Hernando ◽  
A. García ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Self Management ◽  
Patients With Diabetes ◽  
Supervised Autonomy

Self-Management of Depression

2009 ◽  
Author(s):  
Albert Yeung ◽  
Greg Feldman ◽  
Maurizio Fava
Keyword(s):  
Self Management

Knowledge, Attitude, and Self-Efficacy in Asthma Self-Management and Quality of Life

2010 ◽  
pp. 1-6
Author(s):  
Carol A. Mancuso ◽  
Wendy Sayles ◽  
John P. Allegrante
Keyword(s):  
Quality Of Life ◽  
Self Efficacy ◽  
Self Management

Pulmonale Rehabilitation

2019 ◽  
Vol 76 (6) ◽  
pp. 323-327
Author(s):  
Martin Frey
Keyword(s):  
Körperliche Aktivität ◽  
Self Efficacy ◽  
Self Management

Zusammenfassung. Die pulmonale Rehabilitation ist eine komprehensive Behandlungsform, die bei fortgeschrittenen chronischen Lungenerkrankungen eine Abnahme der Dyspnoe, eine Verbesserung der Anstrengungstoleranz und eine Zunahme der Lebensqualität erreicht. Sie senkt im Weitern die Hospitalisationsfrequenzen und kann vor allem unter Einbezug einer Selbstmanagementschulung nachhaltig die körperliche Aktivität und damit die Prognose der Grunderkrankung verbessern. Die pulmonale Rehabilitation umfasst nach einem präzisen assessment eine individualisierte Trainingstherapie mit Fokus auf Ausdauer, Kraft und Beweglichkeit sowie im Weitern eine krankheitsspezifische Schulung, die nicht nur die «self efficacy» und das «self management» fördert, sondern auch das Ziel hat, den Lebensstil im Sinne einer Steigerung der körperlichen Aktivität zu ändern. Aufgrund der guten Evidenzlage sind akkreditierte Rehabilitationsprogramme eine Pflichtleistung der Kostenträger und können sowohl ambulant als auch stationär durchgeführt werden.

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