scholarly journals Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study

10.2196/13808 ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. e13808
Author(s):  
Jun-Hao Lim ◽  
Cordelia-Kheng-May Lim ◽  
Imliya Ibrahim ◽  
Jazlina Syahrul ◽  
Mohd Hazli Mohamed Zabil ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Behavior ◽  
Self Management ◽  
Technical Quality ◽  
Dialysis Patients ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Quantitative Content ◽  
The Mean

Background With the unprecedented growth of mobile technology, a plethora of dialysis diet apps have been developed to promote patient dietary self-management. Nevertheless, the utility of such apps remains questionable. Objective This study aimed to evaluate the content, features, and quality of commercial dialysis diet apps for adult dialysis patients. Methods This study consisted of a quantitative content analysis of commercial dialysis diet apps downloaded from Google Play and the Apple App Store available in the Asian marketplace, searched for using the following keywords in English: dialysis diet and diet for kidney disease. Free and paid apps available in English that provide nutrition information for adult dialysis patients were included. Apps that were not relevant to the dialysis diet, not meant for patient self-management, or redundant were excluded. Apps were evaluated for language medium (subscore=1), credibility (subscore=1), food database (subscore=1), valuable features (subscore=12), health-behavior theory constructs (subscore=60), and technical quality (subscore=25). The relationships among the variables of interest were determined by Pearson correlation. Stepwise multiple linear regression analysis was performed to identify the features that contribute to greater technical quality of dialysis diet apps. Statistical significance was defined as P<.05. Results A total of 22 out of 253 apps (8.7%) were eligible for evaluation. Based on a 100-point scale, the mean overall score of the apps was 31.30 (SD 14.28). Only 5% (1/22) of the apps offered relevant language options, and 46% (10/22) contained food databases. In addition, 54% (12/22) of the apps were not credible. The mean score for valuable features was 3.45 (SD 1.63) out of 12, in which general education (16/22, 73%), free download (15/22, 68%), and usability (13/22, 59%) were the three most popular features. However, the apps scored a mean of 13.41 (SD 11.56) out of 60 for health-behavior theory constructs. The overall app technical quality was considered poor, with a mean score of 2.70 (SD 0.41) out of 5. The scores of valuable features (r=.65, P=.001) and health-behavior theory constructs (r=.55, P=.009) were positively correlated with the overall technical quality of the commercial dialysis diet apps. Features such as free download (β=.43, P=.03) and usability (β=.41, P=.03) could significantly determine the functional quality of the apps. Health-behavior theory constructs such as self-monitoring could significantly predict both the subjective quality (β=.55, P=.008) and the engagement quality (β=.66, P=.001) of the apps, whereas the information quality domain could be determined by plan or orders (β=.48, P=.007) and knowledge (β=.45, P=.01). Conclusions Although most of the available commercial dialysis diet apps are free and easy to use, they are subject to theory deficiency, limited language options, and a lack of food databases, credibility, tailored education, and overall technical quality.

scholarly journals Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study (Preprint)

2019 ◽  
Author(s):  
Jun-Hao Lim ◽  
Cordelia-Kheng-May Lim ◽  
Imliya Ibrahim ◽  
Jazlina Syahrul ◽  
Mohd Hazli Mohamed Zabil ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Behavior ◽  
Self Management ◽  
Technical Quality ◽  
Dialysis Patients ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Quantitative Content ◽  
The Mean

BACKGROUND With the unprecedented growth of mobile technology, a plethora of dialysis diet apps have been developed to promote patient dietary self-management. Nevertheless, the utility of such apps remains questionable. OBJECTIVE This study aimed to evaluate the content, features, and quality of commercial dialysis diet apps for adult dialysis patients. METHODS This study consisted of a quantitative content analysis of commercial dialysis diet apps downloaded from Google Play and the Apple App Store available in the Asian marketplace, searched for using the following keywords in English: <i>dialysis diet</i> and <i>diet for kidney disease</i>. Free and paid apps available in English that provide nutrition information for adult dialysis patients were included. Apps that were not relevant to the dialysis diet, not meant for patient self-management, or redundant were excluded. Apps were evaluated for language medium (subscore=1), credibility (subscore=1), food database (subscore=1), valuable features (subscore=12), health-behavior theory constructs (subscore=60), and technical quality (subscore=25). The relationships among the variables of interest were determined by Pearson correlation. Stepwise multiple linear regression analysis was performed to identify the features that contribute to greater technical quality of dialysis diet apps. Statistical significance was defined as <i>P</i>&lt;.05. RESULTS A total of 22 out of 253 apps (8.7%) were eligible for evaluation. Based on a 100-point scale, the mean overall score of the apps was 31.30 (SD 14.28). Only 5% (1/22) of the apps offered relevant language options, and 46% (10/22) contained food databases. In addition, 54% (12/22) of the apps were not credible. The mean score for valuable features was 3.45 (SD 1.63) out of 12, in which general education (16/22, 73%), free download (15/22, 68%), and usability (13/22, 59%) were the three most popular features. However, the apps scored a mean of 13.41 (SD 11.56) out of 60 for health-behavior theory constructs. The overall app technical quality was considered poor, with a mean score of 2.70 (SD 0.41) out of 5. The scores of valuable features (<i>r</i>=.65, <i>P</i>=.001) and health-behavior theory constructs (<i>r</i>=.55, <i>P</i>=.009) were positively correlated with the overall technical quality of the commercial dialysis diet apps. Features such as free download (β=.43, <i>P</i>=.03) and usability (β=.41, <i>P</i>=.03) could significantly determine the functional quality of the apps. Health-behavior theory constructs such as self-monitoring could significantly predict both the subjective quality (β=.55, <i>P</i>=.008) and the engagement quality (β=.66, <i>P</i>=.001) of the apps, whereas the information quality domain could be determined by plan or orders (β=.48, <i>P</i>=.007) and knowledge (β=.45, <i>P</i>=.01). CONCLUSIONS Although most of the available commercial dialysis diet apps are free and easy to use, they are subject to theory deficiency, limited language options, and a lack of food databases, credibility, tailored education, and overall technical quality.

scholarly journals Health Behavior Theory in Popular Calorie Counting Apps: A Content Analysis

2016 ◽  
Vol 4 (1) ◽  
pp. e19 ◽  
Author(s):  
Siena F Davis ◽  
Marisa A Ellsworth ◽  
Hannah E Payne ◽  
Shelby M Hall ◽  
Joshua H West ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Behavior ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Calorie Counting

scholarly journals It Gets Better: A Content Analysis of Health Behavior Theory in Anti-Bullying YouTube Videos

2013 ◽  
Vol 1 (2) ◽  
Author(s):  
Cameron E Lister ◽  
Elizabeth Brutsch ◽  
Amanda Johnson ◽  
Caitlin Boyer ◽  
P. Cougar Hall ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Behavior ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Youtube Videos

scholarly journals Health Behavior Theory in Physical Activity Game Apps: A Content Analysis

2015 ◽  
Vol 3 (2) ◽  
pp. e4 ◽  
Author(s):  
Hannah E Payne ◽  
Victor BA Moxley ◽  
Elizabeth MacDonald
Keyword(s):  
Physical Activity ◽  
Content Analysis ◽  
Health Behavior ◽  
Health Behavior Theory ◽  
Behavior Theory

MO822POLYPHARMACY NEGATIVELY AFFECTS HEALTH-RELATED QUALITY OF LIFE IN DIALYSIS PATIENTS

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Julia Colombijn ◽  
Anna Bonenkamp ◽  
Anita Van Eck van der Sluijs ◽  
Alferso C Abrahams ◽  
Joost Bijlsma ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Related Quality ◽  
Dialysis Patients ◽  
Self Rated Health ◽  
Therapeutic Benefits ◽  
Significant Difference ◽  
Related Quality ◽  
Health Related ◽  
The Mean

Abstract Background and Aims Dialysis patients are often prescribed a large number of medications to improve metabolic control and manage co-existing comorbidities. However, several studies suggest that a large number of medications can also detrimentally affect their health-related quality of life (HRQoL). Therefore, this study aims to provide insight in the association between the number of medications and various aspects of HRQoL in dialysis patients. Method A multicentre study was conducted among dialysis patients from Dutch dialysis centres three months after initiation of dialysis as part of the ongoing prospective DOMESTICO study. The number of medications, defined as the number of concomitantly prescribed types of drugs, was obtained from electronic patient records. Primary outcome was HRQoL measured with the Physical Component Summary (PCS) score and Mental Component Summary (MCS) score (range 0-100) of the Short Form 12. Secondary outcomes were number of symptoms (range 0-30) measured with the Dialysis Symptoms Index and self-rated health (range 0-100) measured with the visual analogue scale of the EuroQol-5D-5L. Data were analysed using linear regression and adjusted for possible confounders, including age, sex, dialysis modality, and comorbidity. Analyses for MCS and number of symptoms were performed after categorising patients in tertiles according to their number of medications because assumptions of linearity were violated for these outcomes. Results A total of 162 patients were included. Mean age of patients was 58 ± 17 years, 35% were female, and 80% underwent haemodialysis. The mean number of medications was 12.2 ± 4.5. Mean PCS and MCS were 36.6 ± 10.2 and 46.8 ± 10.0, respectively. The mean number of symptoms was 12.3 ± 6.9 and mean self-rated health 60.1 ± 20.6. In adjusted analyses, PCS was 0.6 point lower for each additional medication (95%CI -0.9 – -0.2; p=0.002). MCS was 4.9 point lower (95%CI -8.8 – -1.0; p=0.01) and 1.0 point lower (95%CI -5.1 – 3.1; p=0.63) for the highest and middle tertiles of medications, respectively, compared to the lowest tertile. Patients in the highest tertile of medications reported 4.1 more symptoms compared to the lowest tertile (95%CI 1.5 – 6.6; p=0.002) but no significant difference in the number of symptoms was observed between the middle and lowest tertile. Self-rated health was 1.5 point lower for each medication (95%CI -2.2 – -0.7; p&lt;0.001). Conclusion After adjustment for comorbidity and other confounders, a higher number of medications was associated with a lower PCS, MCS, and self-rated health in dialysis patients and with more symptoms. This suggests that it may be relevant to weigh expected therapeutic benefits of medication against their possible harmful effects on HRQoL. An unfavourable balance between expected benefits and impact on HRQoL might be ground to deviate from clinical guidelines, especially for patients with a limited life-expectancy and for whom a kidney transplant is unattainable.

scholarly journals Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review

2018 ◽  
Vol 15 (6) ◽  
pp. 423-430 ◽  
Author(s):  
Jane M. Simoni ◽  
Keshet Ronen ◽  
Frances M. Aunon
Keyword(s):  
Health Behavior ◽  
Intervention Research ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Ehealth Intervention

scholarly journals Predictors of Diabetes Self-Management Behaviors in Type 2 Diabetes Patients

2021 ◽  
Author(s):  
Golnaz Azami ◽  
Soh Kim Lam ◽  
Sazlina Shariff-Ghazali ◽  
Salmiah Mohd Said ◽  
Sanaz Aazami ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Linear Regression Analysis ◽  
Self Management ◽  
P Value ◽  
Efficacy Expectation ◽  
The Mean ◽  
Management Behaviors

Objective: Type 2 diabetes mellitus (T2DM) is a chronic condition that requires consistent medical care to help control glycemic indices. Diabetes self-management is found to be essential for optimal glycemic control. This study aimed to investigate the predictors of diabetes self-management in adult with T2DM. Materials and Methods: A cross-sectional study was conducted. A purposive sample of 142 adults with T2DM attended an outpatient endocrine clinic in an academic hospital in Ilam, Iran was invited to participate in this study from September to October 2016. The data were collected using a combination of validated questionnaires and the blood sample. IBM SPSS software version 22 used to conduct the analysis. Hierarchical linear regression analysis with the stepwise method was used to explore the predictors of diabetes self-management.  Results: The mean age of participants was 54.2 ± (11.8) years. The mean duration of diabetes was 8.9 ± (7.4). Hierarchical linear regression analysis determined that self-management behaviors had positive relationship with efficacy expectation (B= 0.445, P-value< 0.01), quality of life (B= 0.222, P-value= 0.02), and has a negative relationship with HbA1c (B= -0.194, P-value= 0.01).  Conclusion: The result of our study indicate that better diabetes self-management behaviors can be predicted by higher efficacy expectation, the better quality of life and lower HbA1c levels. Future interventions should focus on enhancing efficacy expectation, quality of life and optimizing glycemic control to improve self-management of diabetes.

Abstract 12926: Transition Readiness Assessment in Adolescents and Young Adults With Heart Disease: Can We Improve the Outcome?

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Karen Uzark ◽  
Cynthia Smith ◽  
Sunkyung Yu ◽  
Janet Donohue ◽  
Katherine Afton ◽  
...  
Keyword(s):  
Young Adults ◽  
Heart Disease ◽  
Self Efficacy ◽  
Self Management ◽  
Transition Readiness ◽  
Knowledge Deficit ◽  
The Mean ◽  
Knowledge Deficits ◽  
The Relationship

Objective: Transition is defined as “the process by which adolescents and young adults with chronic childhood illnesses are prepared to take charge of their lives and their health in adulthood”. We previously reported common knowledge deficits and lack of transition readiness (TR) in 13-25 year olds with congenital or acquired heart disease. The aims of this study were to re-evaluate TR in these patients at follow-up (F/U) and to examine the relationship between changes in TR and quality of life (QOL). Methods: Patients (n=106) completed the TR Assessment and Pediatric Quality of Life Inventory (PedsQL) utilizing an e-tablet, web-based format at a routine F/U clinic visit. Changes from initial to F/U scores were evaluated. Results: Median patient age was 18.7 yrs at a median F/U time of 1.02 yrs. Average perceived knowledge deficit score (% of items with no knowledge) at F/U was 18.0 ± 15.2%, decreased from 24.7 ± 16.5%, p<.0001. On a 100-point scale, the mean score for self-efficacy increased from 71.4 ± 17.0 to 76.7 ± 18.2 (p=.004) and for self-management increased from 47.9 ± 18.4 to 52.0 ± 20.7 (p=.0004). While physical QOL did not change, the mean psychosocial QOL score increased significantly from 80.2 ± 13.3 to 82.5 ± 12.0, p=.02. A decrease in knowledge deficit score at F/U was significantly associated with an increased psychosocial QOL score, p=.03. An increase in self-efficacy score was associated with an increase in psychosocial QOL score (p=.04), especially social QOL (p=.02). Among patients who reported receiving specific information after initial TR assessment, knowledge deficits decreased related to medication (p=.002), symptoms to call for (p=.02), how to contact heart doctor (p=.02), and health insurance (p=.10). Self-efficacy scores improved in patients reporting receipt of information regarding how to contact the heart doctor (p=.06) and how to communicate with healthcare team (p=.05). Conclusion: While deficits in knowledge and self-management skills persist, TR assessment and recognition of deficits can improve transition readiness with improved psychosocial QOL. Routine TR assessment is important to identify transition needs. Further studies are needed to examine the relationship between TR and outcomes in young adults with heart disease.

A Conceptual Application of Health Behavior Theory in the Design and Implementation of a Successful Surgical Weight Loss Program

2004 ◽  
Vol 14 (6) ◽  
pp. 849-856 ◽  
Author(s):  
Dale S. Bond ◽  
Ronald K. Evans ◽  
Eric J. DeMaria ◽  
Jill G. Meador ◽  
Beverly J. Warren ◽  
...  
Keyword(s):  
Weight Loss ◽  
Health Behavior ◽  
Weight Loss Program ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Design And Implementation ◽  
Surgical Weight Loss

scholarly journals P1547THE EFFECT OF INTERNET-BASED CLOSED-LOOP MANAGEMENT ON QUALITY OF LIFE IN PATIENTS ON PERITONEAL DIALYSIS, A SELF-CONTROL STUDY

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Fang Cao
Keyword(s):  
Quality Of Life ◽  
Peritoneal Dialysis ◽  
Management System ◽  
Closed Loop ◽  
Health Management ◽  
Management Model ◽  
Self Management ◽  
Dialysis Patients

Abstract Background and Aims With the continuous advancement of information technology, mobile Internet has entered every family and shown its unique advantages. The development of hospital's information construction on the management of chronic disease, the continuous improvement of hospital APP and Wechat public number functions have provided intelligent services for patients throughout the process. Along with this process, the way of hospital patient follow-up has gradually expanded and improved, and the automation and intellectualization of follow-up work has become a reality. However, The establishment of peritoneal dialysis health management professional team and the implementation of closed-loop health management model, which is based on the Internet closed-loop management model has no clear impact on the self-management ability, quality of life and treatment effect of peritoneal dialysis patients. To explore the effectiveness of Internet based in-hospital and out of hospital closed loop management on the quality of life of patients with peritoneal dialysis, it is necessary to establish a set of closed loop management system for chronic diseases patients with promotion and practical significance. Method From July 2017 to July 2018, 214 patients with continuous peritoneal dialysis were followed up regularly in the Department of Nephrology of our hospital, and voluntarily participated in this study. The mean follow-up time was 12.6 ± 1.5 months. The differences of blood electrolytes, quality control indexes, self-management ability, quality of life of renal disease and hospital satisfaction were observed before and after closed-loop management. Results Ability of self-management behavior (p &lt; 0.001), quality of life (p &lt; 0.001), satisfaction (p &lt; 0.001), the incidence of infection (p &lt; 0.05), serum albumin (p &lt; 0.05), hemoglobin (p &lt; 0.05)were improved after participating in the closed-loop management. Conclusion The closed-loop management system based on Internet closed-loop management model is effective for the quality of life and treatment effect of peritoneal dialysis patients, which integrates the core functions of follow-up records, intelligent early warning, doctor-patient communication and health education. Through this closed-loop management, medical staff can digitally collect, store, transmit and process the information of in-hospital and out-of-hospital conditions through follow-up analysis, health guidance and remote assistance to achieve the purpose of patient health management. This study shows that this closed-loop management system can effectively manage the health of peritoneal dialysis patients, and provides a replicable model for the management of chronic diseases. Therefore, a comprehensive closed-loop management system based on mobile Internet and information technology, with clinical care as the leading factor and peritoneal dialysis patients as the terminal is a feasible and acceptable follow-up management method for peritoneal dialysis patients and hospitals.

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