Behavioral engagement with mHealth for improved well-being among chronically ill patients: the role of human-related and app-related factors (Preprint)

2021 ◽  
Author(s):  
Freek Van Baelen ◽  
Melissa De Regge ◽  
Bart Larivière ◽  
Katrien Verleye ◽  
Sam Schelfout ◽  
...  
Keyword(s):  
Chronic Condition ◽  
Chronically Ill ◽  
Well Being ◽  
Behavioral Engagement ◽  
Related Factors ◽  
Design Factor ◽  
Mobile Health Applications ◽  
Chronically Ill Patients ◽  
The Relationship ◽  
Mhealth Apps

BACKGROUND Last decade has shown a considerable increase in the amount of mobile health applications (mHealth apps) in everyday life. These mHealth apps have the potential to significantly improve well-being for chronically ill patients. However, behavioral engagement with mHealth apps remains low. OBJECTIVE The aim of this study is to provide insight into the behavioral engagement of adults with chronic conditions with mHealth apps by investigating (1) how it is affected by human-related factors (here, physician motivation) and app-related factors (here, app integration) and (2) how it affects their well-being. Supplementary, this study considers the moderating effect of preference for traditional visits to the physician (habit) and experience in app use (app experience) by the patients. METHODS A scenario based experiment among patients with a chronic condition (n= 521) was carried out. A Bayesian SEM model with mediation and moderation analysis was conducted in MPlus. RESULTS Both physician motivation for mHealth app use and mHealth app integration have a positive effect on the behavioral engagement of chronically ill patients towards mHealth apps. Higher behavioral engagement positively influences the hedonic and eudaimonic well-being of chronically ill patients. App experience positively moderates the relationship between app integration and behavioral engagement. A patients’ habit with receiving traditional care does not moderate the relationship between physician motivation and behavioral engagement. CONCLUSIONS The human and design factor play a key role in behavioral engagement and well-being among patients with a chronic condition. During and after the development of a mHealth app, app integration and physician motivation should be a point of attention.

scholarly journals Relationship between Spiritual Well-being and Quality of Life among Chronically Ill Individuals

2015 ◽  
Vol 2 (4) ◽  
Author(s):  
Kanwal Shahbaz ◽  
Dr. Kiran Shahbaz
Keyword(s):  
Quality Of Life ◽  
Economic Status ◽  
Chronically Ill ◽  
Well Being ◽  
Life Questionnaire ◽  
Spiritual Wellbeing ◽  
Socio Economic Status ◽  
Spiritual Well Being ◽  
Chronically Ill Patients

The study was aimed to find the relationship between Spiritual Wellbeing and Quality of Life among chronically ill individuals. Likewise, relationship between demographic variables with Quality of Life and Spiritual Wellbeing were also reconnoitered. Non probability purposive sampling technique was used with chronically ill patients of 15yrs to 80yrs. For measuring spiritual wellbeing Urdu version of “Spiritual Wellness Inventory” (SWI-URDU) (Hanif, 2010) was used. Alternatively, for the measurement of Quality of life WHO Quality of Life Questionnaire (WHO-QOL-BREF) was used. A sample of 200 chronically ill patients were taken from four different hospitals of Rawalpindi and Islamabad. Reliabilities of both the instruments were computed as 0.90 for SWI and 0.74 for WHO-QOL-BREF. Findings show that quality of life and Spiritual wellbeing is positively related among chronically ill individuals. Males found to score high on spiritual wellbeing than females. Individuals with less education are more spiritually inclined as compared to individuals with high education. Quality of life was scored high by individuals with higher education as compared to less education. Married individuals were having better quality of life than unmarried, separated widow and divorced. Patients with middle socio-economic status were having better quality of life than higher and lower. Quality of life was high among individuals with better monthly income than those who have low and middle monthly incomes. Spiritual well being is higher in middle adolescents (15-17) than in late (18-20) adolescents. The current research can be implemented in designing the intervention plans for the betterment of chronically ill patients. It may also help us to develop an insight that each patient with same disease but in different age group and socio-economic status has different needs and plans of treatment and care.

Tele-Health Monitoring of Patient Wellness

2016 ◽  
Vol 25 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Ross Stewart Sparks ◽  
Chris Okugami
Keyword(s):  
Machine Learning ◽  
Vital Sign ◽  
Vital Signs ◽  
Regression Tree ◽  
Chronically Ill ◽  
Well Being ◽  
Machine Learning Techniques ◽  
Care Plans ◽  
Tree Methods ◽  
Chronically Ill Patients

AbstractThe vital signs of chronically ill patients are monitored daily. The record flags when a specific vital sign is stable or when it trends into dangerous territory. Patients also self-assess their current state of well-being, i.e. whether they are feeling worse than usual, neither unwell nor very well compared to usual, or are feeling better than usual. This paper examines whether past vital sign data can be used to forecast how well a patient is going to feel the next day. Reliable forecasting of a chronically sick patient’s likely state of health would be useful in regulating the care provided by a community nurse, scheduling care when the patient needs it most. The hypothesis is that the vital signs indicate a trend before a person feels unwell and, therefore, are lead indicators of a patient going to feel unwell. Time series and classification or regression tree methods are used to simplify the process of observing multiple measurements such as body temperature, heart rate, etc., by selecting the vital sign measures, which best forecast well-being. We use machine learning techniques to automatically find the best combination of these vital sign measurements and their rules that forecast the wellness of individual patients. The machine learning models provide rules that can be used to monitor the future wellness of a patient and regulate their care plans.

scholarly journals Assessment of the relationship between depression and treatment compliance in chronically-ill patients in Jeddah, Saudi Arabia

2021 ◽  
Vol 20 (1) ◽  
pp. 177-182
Author(s):  
Ameen Mosleh Almohammadi ◽  
Somayah Saeed Bawazeer ◽  
Joud Jamal Balkhair ◽  
Aroub Adel Rajab
Keyword(s):  
Medication Compliance ◽  
Treatment Compliance ◽  
Chronically Ill ◽  
Lifestyle Changes ◽  
Inverse Association ◽  
Mild Depression ◽  
Cross Sectional ◽  
Adherence To Medication ◽  
Chronically Ill Patients ◽  
The Relationship

Purpose: To find the relationship between depression, treatment adherence and lifestyle changes inchronically-ill patients residing in Jeddah, Saudi Arabia.Methods: A cross-sectional study was conducted. A self-administered questionnaire was used tocollect data from patients of multi-healthcare centers located in Jeddah. The questionnaire aimed tocollect the information regarding patients’ levels of medication compliance, patients’ capacity to copewith the disease and adherence to medication, along with their depression level.Results: Of the overall sample size of 439 patients, 43.1 % were suffering from hypertension, 37.8 %were diabetic and 33.7 % had hyperlipidemia. Besides, total scores of Patient Health Questionnaire-9(PHQ-9) showed that approximately 5 % patients were severely depressed, 8 % had moderately severedepression, 27 % had moderate depression, and 60 % had mild depression. Compliance scale datarevealed that 38 % patients showed low compliance, 51 % showed partial compliance, and 11 %showed high compliance. Also, a significant inverse relationship between depression and compliancescales (rs = -0.221, p = 0.004) was observed.Conclusion: The results show an inverse association between depression and medication adherencein patients with chronic disease in Jeddah. Therefore, clinicians are advised to assess the level ofdepression in chronically-ill patients in order to improve their adherence to medicine.Keywords: Chronic illness, Depression, Medication adherence, Treatment compliance

Adaptation of the Questionnaire of Hahn, Cella, Bode, and Hanrahan in Spanish Patients Affected by Asbestos Poisoning

2013 ◽  
Vol 16 ◽  
Author(s):  
Miguel Clemente ◽  
Adela Reig-Botella
Keyword(s):  
High Reliability ◽  
Chronically Ill ◽  
Well Being ◽  
Chronic Illnesses ◽  
Future Directions ◽  
The Social ◽  
Male Patients ◽  
Chronically Ill Patients ◽  
Social Companionship ◽  
Very High

AbstractThe purpose of this study was to assess whether or not the questionnaire developed by Hahn, Cella, Bode, and Hanharan (2010) for use with cancer patients accurately measures the social well-being of individuals suffering from chronic illnesses associated with asbestos poisoning. One hundred ten male patients with asbestos poisoning were age-matched in blocks to a comparison group of 70 “healthy” controls, all of whom were current or retired employees of the largest naval company in Spain. The results indicate very high reliability of the Hahn et al. (2010) test to assess social well-being in these chronically ill patients, and a high concurrent validity of the measured outcomes with regard to results of the SCL-90 Derogatis questionnaire, especially on the social well-being dimensions of negative emotional support, negative social companionship, and satisfaction. Limitations of the study and possible future directions are discussed.

Patterns of Utilization of Medical Care and Perceptions of the Relationship between Doctor and Patient with Chronic Illness Including Chronic Fatigue Syndrome

1997 ◽  
Vol 80 (2) ◽  
pp. 643-658 ◽  
Author(s):  
Stuart W. Twemlow ◽  
Lolafaye Coyne ◽  
Samuel L. Bradshaw ◽  
Barbara H. Lerma
Keyword(s):  
Chronic Illness ◽  
Chronic Fatigue Syndrome ◽  
Chronically Ill ◽  
Chronic Fatigue ◽  
Medical Patients ◽  
Fatigue Syndrome ◽  
Health And Illness ◽  
Patterns Of Utilization ◽  
Chronically Ill Patients ◽  
The Relationship

To what extent do personal constructs affect the relationship between doctor and patient when the ill patient does not readily recover with treatment? Questionnaires were returned anonymously by 609 patients with a self-reported diagnosis of chronic fatigue syndrome, who were considered chronically ill. Findings were compared with those of an earlier study of a population of 397 general medical patients. The chronically ill patients lost an average of 65 days of work per year due to illness compared to general medical patients who missed six or fewer days per year because they were ill. The chronically ill patients also reported a 66% higher frequency of iatrogenic illness, spent more money on health care, took more medication, saw more specialists, and were more litigious than the general medical population. Research suggested several patterns of relationships between doctors and patients, and attitudes to health and illness, which may alert doctors to patients' perceptions, beliefs, encoded constructs, and patterns of relating that affect responses to treatment. More attention by doctors to patients who are experiencing the stress of chronic illness is indicated.

scholarly journals Older adults rate their mental health better than their general health

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Elena M. Magwene ◽  
Ana R. Quiñones ◽  
Gillian L. Marshall ◽  
Lena K. Makaroun ◽  
Stephen Thielke
Keyword(s):  
Mental Health ◽  
Joint Probability ◽  
Well Being ◽  
Joint Probability Distribution ◽  
Medicare Advantage ◽  
Related Factors ◽  
Health Related ◽  
Design And Methods ◽  
The Relationship ◽  
Better Than

<em>Background</em>. Self-rated health (SRH) shows strong associations with measures of health and well-being. Increasingly, studies have used self-rated mental health (SRMH) as a predictor of various outcomes, independently or together with SRH. Research has not firmly established if and how these two constructs differ. We sought to characterize the relationship between SRH and SRMH, and to determine how this relationship differed across subgroups defined by sociodemographic and health-related characteristics.<br /><em>Design and methods.</em> We analyzed data from the 2012 CAHPS Medicare Advantage Survey. SRH and SRMH ratings were crosstabulated to determine the distribution of responses across response categories. The expected joint probability distribution was computed and compared to the observed distribution. A constructed variable indicated whether SRMH was better, the same, or worse than SRH. We analyzed the distribution of this variable across various subgroups defined by sociodemographic and health-related factors. <br /><em>Results</em>. A total of 114,905 Medicare Advantage beneficiaries responded to both the SRH and SRMH questions. Both in general and within all subgroups, SRMH was usually rated as better than SRH, and rarely as worse. <br /><em>Conclusions</em>. Within a large group of Medicare recipients, the overwhelming trend was for recipients to rate their mental health as at least as good as their overall health, regardless of any sociodemographic and health-related factors. This finding of a shifted distribution encourages caution in the analytic use of selfrated mental health, particularly the use of both SRH and SRMH for adjustment. Additional research is needed to help clarify the complex relationship between these variables.

scholarly journals Well-being and College Success of Undergraduate Students

2019 ◽  
Vol 3 (2) ◽  
pp. 59
Author(s):  
Melissa K. Kovich ◽  
Vicki L. Simpson
Keyword(s):  
Academic Success ◽  
Undergraduate Students ◽  
Research University ◽  
Well Being ◽  
Chi Square ◽  
Related Factors ◽  
Post Secondary ◽  
Using Data ◽  
Chi Square Analysis ◽  
The Relationship

Background:  In order to build a culture of well-being among students in post-secondary academic communities, an assessment of current well-being and related factors is necessary. Common barriers to optimal well-being may include stress, anxiety, and depression in college students. Low levels of well-being have been associated with higher levels of impaired academic performance. Aim: Explore the relationship between academic success and time spent performing well-being activities. Methods:  Seligman’s Well-Being Theory was used to guide this study. The relationship between well-being and academic success of undergraduate students at a large Midwestern university (N = 5008) was evaluated using data from a 278 item 2018 Student Experience at a Research University (SERU) survey. Measures of academic success included late assignments, going to class unprepared, and skipping class. Measures of well-being included time spent in: physical exercise, spiritual practice, community service, and club participation; time with family and friends were also included. Results: Pearson Chi-Square analysis revealed a total of five significant relationships between well-being activities and late assignments, being unprepared for class, and skipping class at α=.05. Conclusions:  Further research is needed to understand the relationship between well-being and academic success to guide development of strategies to support well-being in university students.

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