scholarly journals Towards Value Sensitive Design of eHealth Technologies to Support Self-Management of Cardiovascular Diseases: Content Analysis (Preprint)

JMIR Cardio ◽  
10.2196/31985 ◽  
2021 ◽  
Author(s):  
Roberto Rafael Cruz-Martínez ◽  
Jobke Wentzel ◽  
Britt Elise Bente ◽  
Robbert Sanderman ◽  
Julia EWC van Gemert-Pijnen
Keyword(s):  
Content Analysis ◽  
Cardiovascular Diseases ◽  
Self Management ◽  
Value Sensitive Design

Towards Value Sensitive Design of eHealth Technologies to Support Self-Management of Cardiovascular Diseases: Content Analysis (Preprint)

2021 ◽  
Author(s):  
Roberto Rafael Cruz-Martínez ◽  
Jobke Wentzel ◽  
Britt Elise Bente ◽  
Robbert Sanderman ◽  
Julia EWC van Gemert-Pijnen
Keyword(s):  
Content Analysis ◽  
Healthy Lifestyle ◽  
General System ◽  
Chronically Ill ◽  
Self Management ◽  
Value Sensitive Design ◽  
Management Support ◽  
Design Features ◽  
Personalized Care ◽  
Health Related

BACKGROUND eHealth can revolutionize the way self-management support is offered to chronically-ill individuals such as those with a cardiovascular disease (CVD). However, the patients’ fluctuating motivation to actually perform self-management is an important factor to account for. Tailoring and personalizing eHealth to fit with the values of individuals promises to be an effective motivational strategy. There is already empirical knowledge about the values of importance for patients with a CVD, and there are also numerous examples of eHealth technologies. Nevertheless, how specific eHealth technologies and design features could potentially contribute to values of individuals with a CVD has not been explicitly studied before. OBJECTIVE The present study seeks to connect a set of empirically-validated health related values of individuals with a CVD with existing eHealth technologies and their design features. The study searches for potential connections between design features and values with the goal to advance knowledge about how eHealth technologies can actually be more meaningful and motivating for end users. METHODS Undertaking a technical investigation that fits with the value sensitive design framework, a content analysis of existing eHealth technologies was conducted. Eleven empirically-validated values of CVD patients were matched to 70 design features from 10 eHealth technologies that were previously identified in a systematic review. The analysis consisted mainly of a deductive coding stage performed independently by three members of the study team. In addition, researchers and developers of 6 out of the 10 reviewed technologies were contacted and provided input about potential feature-value connections. RESULTS In total, 98 connections were made between eHealth design features and patient values. This meant that some design features could contribute to multiple values. Importantly, some values were more often addressed than others. CVD patients’ values most often addressed were related to 1) having or maintaining a healthy lifestyle, 2) having an overview of personal health data, 3) having reliable information and advice, 4) having extrinsic motivators to accomplish goals or health-related activities, and 5) receiving personalized care. In contrast, values that were less often addressed concerned 6) perceiving low thresholds to access health care, 7) receiving social support, 8) preserving a sense of autonomy over life, and 9) not feeling fear, anxiety, or insecurity about health. Lastly, two largely unaddressed values were related to 10) having confidence and self-efficacy in the treatment or ability to achieve goals and 11) desiring to be seen as a person rather than a patient. CONCLUSIONS Positively, existing eHealth technologies could be connected to CVD patients’ values, largely through design features that relate to educational support, self-monitoring support, behavior change support, feedback, and motivational incentives. Other design features such as reminders, prompts or cues, peer-based and expert-based human support, and general system personalization were also connected to values but in more narrow ways. The present study advanced knowledge about the potential of value sensitive eHealth technologies and design features. In future studies, the inferred feature-value connections must be validated with empirical data, which could contribute to formal theories that explain how eHealth can support the values of individuals with a CVD or similar chronic conditions.

Social support for self-management behaviors among people with epilepsy: A content analysis of the WebEase program

2012 ◽  
Vol 23 (3) ◽  
pp. 285-290 ◽  
Author(s):  
Elizabeth Reisinger Walker ◽  
Yvan Bamps ◽  
Andrea Burdett ◽  
Jennifer Rothkopf ◽  
Colleen DiIorio
Keyword(s):  
Social Support ◽  
Content Analysis ◽  
Self Management ◽  
Management Behaviors

scholarly journals Self‐Management Recommendations for Sickle Cell Disease: A Content Analysis of Websites

2020 ◽  
Author(s):  
Druye A Andrews ◽  
Nelson Katherine ◽  
Robinson Brian
Keyword(s):  
Content Analysis ◽  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Qualitative Content Analysis ◽  
Preventive Health ◽  
Self Management ◽  
Cell Disease ◽  
Self Monitoring ◽  
Management Actions ◽  
Management Recommendations

This paper reports on the findings of a study designed to establish website-based self-management recommendations for sickle cell disease. Google and Yahoo search engines were used to search the World-Wide-Web. Purposive sampling was utilized to select 28 websites that met the inclusion criteria. Data were manually collected from health education materials and subjected to qualitative content analysis. Self-management was conceptualized as actions involving preventive health, self-monitoring, self-diagnosing, and self-treatment. The results show that the websites recommend more self-management actions for preventive health and self-treatment than for self-monitoring and self-diagnosis. Frequent oral fluid intake, limitation of overactivity, eating a healthy diet, avoiding extreme temperatures, and infections were the commonest preventive health recommendations. Daily pain monitoring and general bodily inspections were the most frequent self-monitoring recommendations. Commonly cited self-diagnostic indicators were fever, persistent pain, enlarged spleen, and leg ulcers. The use of analgesics and non-pharmacological measures were regularly cited for self-treatment. Most recommendations were assessed as clinically safe as they align with standards for sickle cell management. Nurses and other professionals should teach patients how to assess the credibility of websites. This article is protected by copyright. All rights reserved.

A cross-sectional content analysis of Android applications for asthma

2016 ◽  
Vol 23 (2) ◽  
pp. 83-95 ◽  
Author(s):  
Mowafa Househ ◽  
Nassif Hossain ◽  
Amr Jamal ◽  
Nasriah Zakaria ◽  
Ashraf Elmetwally ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Information ◽  
Information Quality ◽  
Self Management ◽  
Future Research ◽  
Positive Health ◽  
Cross Sectional ◽  
Self Monitoring ◽  
Android Platform ◽  
Search Feature

Providing patients opportunities for self-management and education about their disease, asthma applications designed for use on an Android operating system can have positive health outcomes across the range of demographics who use mHealth applications. This study provides a content analysis of freely available Google Android Platform Mobile Applications for Asthma. A list of applications was collected on 26 October 2014, using the search feature of the Google Play Android platform and using the words and phrases “Asthma,” “Lung Function” and “Peak Flow.” Each application was coded for its approach to asthma self-management, based on categories adapted by Huckvale et al., which are based on the Global Initiative for Asthma and the National Asthma Education and Prevention Program. The characteristics of the 15 asthma applications are described. Most of the asthma applications’ primary function focused on patient self-monitoring and self-assessment. Using the HON Code, we found low health information quality across all asthma applications. Android asthma applications can have positive outcomes in helping patients as they provide opportunities for self-management and education about their disease. Future research should continue to monitor and evaluate the development and use of mHealth Asthma Applications. Based on these findings, and their indication of a gap in existing research, subsequent studies can continue to evaluate the development and use of mHealth Asthma Applications with increasing methodological consistency to improve the quality of in-app health information.

scholarly journals Assessment of Clinical Pharmacists' Assistance for Patients With Established Cardiovascular Diseases During the COVID-19 Pandemic: Insights From Southern India

2020 ◽  
Vol 7 ◽  
Author(s):  
Oliver Joel Gona ◽  
Ramesh Madhan ◽  
Sunil Kumar Shambu
Keyword(s):  
Cardiovascular Diseases ◽  
Clinical Pharmacist ◽  
Southern India ◽  
World Health ◽  
Self Management ◽  
Sign Test ◽  
Care Hospital ◽  
Post Intervention ◽  
Clinical Pharmacists ◽  
Coronary Syndrome

Objectives: We aimed to assess the clinical pharmacist-initiated telephone-based patient education and self-management support for patients with cardiovascular disease during the nationwide lockdown during COVID-19 pandemic.Methods: A prospective single-center telephone-based cross-sectional study was conducted among patients at the Cardiology Department and its speciality clinic at a 1,800-bed tertiary care hospital in Southern India. A validated 8-item clinical pharmacist aided on-call questionnaire with two Domains was administered during and after lockdown (15 March and 8 June 2020). Clinical pharmacist-provided educational assistance on self-management practices were in accordance with the guidelines of Indian Council of Medical Research (ICMR) and World Health Organization. Comparisons was performed using sign test and association of responses were analyzed using the Goodman and Kruskal's gamma test. All the tests were two-tailed, p < 0.05 was considered to be statistically significant.Results: Of the 1,080 patients, 907 consented with a response rate of (83.9%) and 574 (96.36%) patients were analyzed post-intervention. Majority of the patients were male (54.7%) and had Acute Coronary Syndrome [NSTEMI (42.10%), STEMI (33.92%) and Unstable Angina (9.86)]. The majority of subjects had at least two co-morbid conditions [(Type II Diabetes (48.33%), Hypertension (50.11%)] and were rural population (82.5%) as self-employed (43.1%) with a middle-class economy (31.6%). In the Domain-1 of checklist the awareness toward complications caused by COVID-19 in cardiovascular diseases (Z = −19.698, p = 0.000) and the importance of universal safety precautions enhanced after clinical pharmacist assistance [(Z = −8.603, p = 0.000) and (Z = −21.795, p = 0.000)]. In Domain-II of checklist there was a significant improvement in patients awareness toward fatal complications caused by COVID-19 (Z = −20.543, p = 0.000), maintenance of self-hygiene (Z = −19.287, p = 0.000), practice of universal safety precautions (Z = −16.912, p = 0.000) and self-isolation (Z = −19.545, p = 0.000). The results of our study population varied from baseline evaluation (41.7%, n = 907) to post-intervention (95%, n = 574) based on Literacy, employment status and economic status.Conclusions: The proactive role of clinical pharmacists in providing instructional services in collaboration with cardiologist during the pandemic circumstances increased patients understanding and mitigated infection exposure among patients, health care professionals and also assuring the continuity of care in patients with established cardiovascular diseases.

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 Self Management Pasien Diabetes Melitus dengan Komplikasi Kardiovaskular dan Implikasinya terhadap Indikator Klinik

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Titis Kurniawan ◽  
Citra Windani Mambang Sari ◽  
Iis Aisyah
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
Blood Glucose ◽  
Coronary Artery ◽  
Cardiovascular Diseases ◽  
Self Management ◽  
Diabetic Patients ◽  
Coronary Artery Diseases ◽  
Clinical Indicators ◽  
Diabetes Melitus

 ABSTRAKPenyakit kardiovaskular merupakan salah satu komplikasi utama diabetes melitus (DM) dan berisiko memperburuk prognosis, kualitas hidup serta meningkatkan risiko kematian. Self-management merupakan kunci utama dalam pengelolaan penyakit maupun pencegahan komplikasi dan dampak negatif yang diakibatkanya. Penelitian deskriptif ini bertujuan untuk mengidentifikasi self-management pada pasien DM dengan komplikasi kardiovaskular beserta dampaknya terhadap indikator klinik. Seluruh pasien (123 orang) diabetes mellitus yang didiagnosa menderita penyakit kardiovaskular (hipertensi, dislipidemia, dan/atau coronary artery diseases) dilibatkan dari unit rawat jalan salah satu rumah sakit swasta di Kota Bandung, Jawa Barat secara total sampling. Data self-management dikumpulkan menggunakan kuesioner yang dikembangkan oleh peneliti yang mencakup 6 domain (pemantauan, aktivitas fisik, pencegahan komplikasi, diet, pengobatan, dan merokok) dan mencakup 28 item pernyataan dengan skor Alpha Chronbach 0,738 dan validitas (r 0,377-0,760). Adapun data tentang indikator klinik dikumpulkan berdasarkan data sekunder dari rekam medik yang mencakup tekanan darah, kadar gula darah sewaktu, dan kadar kolesterol. Data yang terkumpul dianalisis menggunakan analisis deskriptif dan uji beda. Hasil penelitian menunjukkan lebih dari setengah responden (54,5%) berada pada kategori self-management rendah dimana domain pemantauan merupakan domain dengan persentase kategori rendah paling besar (62,6%). Rerata skor self-management yang lebih tinggi ditemukan pada pasien yang mencapai target indikator klinik; tekanan darah sistolik 140mmHg, kolesterol darah 200mg%, dan gula darah sewaktu 200mg%. Namun, perbedaan skor self-management yang signifikan hanya ditemukan pada indikator gula darah (p = 0,05). Hasil penelitian ini menunjukkan bahwa pasien DM dengan komplikasi kardiovaskular di tempat penelitian ini perlu meningkatkan perilaku self-management terutama dalam aspek pemantauan. Penting juga bagi pihak rumah sakit untuk mengintensifkan upaya yang sudah dijalankan guna memfasilitasi kebutuhan tersebut. ABSTRACTCardiovascular problem is one of the main diabetes mellitus complications that potentially worsen patients’ prognosis, quality of life as well as increase the patient mortality rate. Self-management in the other hand is a key success of diseases management and complication prevention. This descriptive study aimed to identify self-management of diabetic patients who diagnosed with cardiovascular diseases and its impact on clinical indicators. All 123 diabetic patients with cardiovascular diseases (hypertension, dyslipidaemia, dan coronary artery diseases) were involved in this study (total sampling) and recruited from an outpatient clinic of a private hospital in Bandung Municipality, West-Java. Data self-management were collected using questionnaire developed by the researcher covering 6 domains (monitoring, Physical exercise, complication management and prevention, diet, medication and smoking) consisted of 28 items with Alpha Chronbach 0,738 and inter-item correlation r 0.377 - 0.760. Data regarding clinical indicators were secondarily collected from patients’ medical record including current blood pressure, blood sugar level and cholesterol level. Collected data were analysed descriptively and comparatively with significance at p 0.05. The results suggested that more than half patients (54.5%) report low level of self-management where monitoring domain found as the domain with the biggest percentage of low self-management category (62.6%). In addition, respondents with higher mean score of self-management was found in patient who achieved the clinical outcomes; blood pressure 140mmHg, cholesterol 200mg%, and blood glucose 200mg%. However, statistically significant finding only identified in blood glucose indicator (p = 0.05). These results indicated that diabetic patients with cardiovascular problem in this setting need program or strategy to improve their capability in performing self-management particularly in the monitoring aspect. It also is significance for hospital to address those issues.  

scholarly journals Apps to Support Self-Management for People With Hypertension: Content Analysis

10.2196/13257 ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. e13257 ◽  
Author(s):  
Chi Yan Hui ◽  
Emily Creamer ◽  
Hilary Pinnock ◽  
Brian McKinstry
Keyword(s):  
Content Analysis ◽  
Self Management
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