scholarly journals Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps

10.2196/10173 ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. e10173 ◽  
Author(s):  
Ying-Li Lee ◽  
Yan-Yan Cui ◽  
Ming-Hsiang Tu ◽  
Yu-Chi Chen ◽  
Polun Chang
Keyword(s):  
Chronic Kidney Disease ◽  
Content Analysis ◽  
Kidney Disease ◽  
Mobile Health ◽  
Patient Centered Care ◽  
Patient Centered ◽  
Centered Care

scholarly journals Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps (Preprint)

2018 ◽  
Author(s):  
Ying-Li Lee ◽  
Yan-Yan Cui ◽  
Ming-Hsiang Tu ◽  
Yu-Chi Chen ◽  
Polun Chang
Keyword(s):  
Health Care ◽  
Kidney Disease ◽  
Mobile Health ◽  
Health Care Professionals ◽  
Patient Centered Care ◽  
Self Management ◽  
Patient Centered ◽  
Health Apps ◽  
Centered Care ◽  
Mobile Health Apps

BACKGROUND Chronic kidney disease (CKD) is a global health problem with a high economic burden, which is particularly prevalent in Taiwan. Mobile health apps have been widely used to maintain continuity of patient care for various chronic diseases. To slow the progression of CKD, continuity of care is vital for patients’ self-management and cooperation with health care professionals. However, the literature provides a limited understanding of the use of mobile health apps to maintain continuity of patient-centered care for CKD. OBJECTIVE This study identified apps related to the continuity of patient-centered care for CKD on the App Store, Google Play, and 360 Mobile Assistant, and explored the information and frequency of changes in these apps available to the public on different platforms. App functionalities, like patient self-management and patient management support for health care professionals, were also examined. METHODS We used the CKD-related keywords “kidney,” “renal,” “nephro,” “chronic kidney disease,” “CKD,” and “kidney disease” in traditional Chinese, simplified Chinese, and English to search 3 app platforms: App Store, Google Play, and 360 Mobile Assistant. A total of 2 reviewers reached consensus on coding guidelines and coded the contents and functionalities of the apps through content analysis. After coding, Microsoft Office Excel 2016 was used to calculate Cohen kappa coefficients and analyze the contents and functionalities of the apps. RESULTS A total of 177 apps related to patient-centered care for CKD in any language were included. On the basis of their functionality and content, 67 apps were recommended for patients. Among them, the most common functionalities were CKD information and CKD self-management (38/67, 57%), e-consultation (17/67, 25%), CKD nutrition education (16/67, 24%), and estimated glomerular filtration rate (eGFR) calculators (13/67, 19%). In addition, 67 apps were recommended for health care professionals. The most common functionalities of these apps were comprehensive clinical calculators (including eGFR; 30/67; 45%), CKD medical professional information (16/67, 24%), stand-alone eGFR calculators (14/67, 21%), and CKD clinical decision support (14/67, 21%). A total of 43 apps with single- or multiple-indicator calculators were found to be suitable for health care professionals and patients. The aspects of patient care apps intended to support self-management of CKD patients were encouraging patients to actively participate in health care (92/110, 83.6%), recognizing and effectively responding to symptoms (56/110, 50.9%), and disease-specific knowledge (53/110, 48.2%). Only 13 apps contained consulting management functions, patient management functions or teleconsultation functions designed to support health care professionals in CKD patient management. CONCLUSIONS This study revealed that the continuity of patient-centered care for CKD provided by mobile health apps is inadequate for both CKD self-management by patients and patient care support for health care professionals. More comprehensive solutions are required to enhance the continuity of patient-centered care for CKD.

Active Medical Management Without Dialysis for Patients With Advanced Chronic Kidney Disease

2020 ◽  
pp. 136-147
Author(s):  
Kelly Li ◽  
Mark Brown
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Medical Management ◽  
Symptom Management ◽  
Symptom Control ◽  
Shared Decision ◽  
Patient Centered ◽  
Advanced Chronic Kidney Disease ◽  
Centered Care

This chapter outlines the management of patients with advanced chronic kidney disease for whom dialysis may not be beneficial or desired. Active medical management without dialysis should be offered to patients through a shared-decision making process as a viable alternative to dialysis. This is important as patients and families wish to consider not only survival, but also symptom control and QoL in their decision to pursue a dialysis or nondialysis pathway. A multidisciplinary team delivering good quality, active, and patient-centered care that combines chronic kidney disease management with the principles of palliative care can help patients achieve good symptom management and quality of life. Active and early planning for the end-of-life phase facilitates appropriate care for patients in acute and/or unexpected deterioration and helps achieve patient and family goals.

scholarly journals Inducing a sense of worthiness in patients: the basis of patient-centered palliative care for cancer patients in Iran

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mir Hossein Aghaei ◽  
Zohreh Vanaki ◽  
Eesa Mohammadi
Keyword(s):  
Palliative Care ◽  
Content Analysis ◽  
Cancer Patients ◽  
Patient Centered Care ◽  
Care Providers ◽  
Patient Centered ◽  
Centered Care ◽  
Recorded Data ◽  
Main Components ◽  
Perception Of Care

Abstract Background Patient-centered care is one of the main components in providing palliative care for cancer patients. This issue has been the subject of numerous studies and practices in nursing for many years. Few studies, however, have explored the perception of nurses about patient-centered treatments. This study aimed at exploring the perception of care-providers about offering patient-centered care to cancer patients. Method For attaining that aim, 18 care-providers were purposefully selected for an interview which allowed the researchers to explore the enriched experiences of these participants about offering patient-centered palliative care to cancer patients. After transcribing the recorded data, analysis was carried out based on Graneheim and Lundman’s method of content analysis. The research was qualitative in nature and conducted in 2019 in Iran. Results From content analysis, 3 main categories; considering patient’s spirituality, maintaining patient’s dignity during care, and reducing patient’s suffering, were found. The essence of these categories reflect on the care-providers’ consideration and effort in “inducing a sense of worthiness” in patients by providing patient-centered care. These categories also reflect on the perspective of care-providers about nurse- patient relationship for providing high qualified palliative care. Conclusion For providing patient-centered care inducing a sense of worthiness in patients, is the most fundamental component in providing palliative care to cancer patients. Therefore, by considering the structures and settings where the care is to be provided in the healthcare system, it is possible to direct the necessary educational, research, and administrative programs related to inducing a sense of worthiness in patients towards providing a more effective palliative care.

scholarly journals A Systematic Framework for Analyzing Patient-Generated Narrative Data: Protocol for a Content Analysis

10.2196/13914 ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 13914
Author(s):  
Maryam Zolnoori ◽  
Joyce E Balls-Berry ◽  
Tabetha A Brockman ◽  
Christi A Patten ◽  
Ming Huang ◽  
...  
Keyword(s):  
Health Care ◽  
Content Analysis ◽  
Data Collection ◽  
Qualitative Analysis ◽  
Patient Centered Care ◽  
Data Preparation ◽  
Patient Centered ◽  
Patient Narratives ◽  
Centered Care ◽  
Systematic Framework

Background Patient narrative data in online health care forums (communities) are receiving increasing attention from the scientific community for implementing patient-centered care. Natural language processing (NLP) methods are gaining more and more attention because of the enormous data volume. However, state-of-the-art NLP still cannot meet the need of high-resolution analysis of patients’ narratives. Manual qualitative analysis still plays a pivotal role in answering complicated research questions from analyzing patient narratives. Objective This study aimed to develop a systematic framework for qualitative analysis of patient-generated narratives in online health care forums. Methods Our systematic framework consists of 4 phases: (1) data collection, (2) data preparation, (3) content analysis, and (4) interpretation of the results. Data collection and data preparation phases are constructed based on text mining methods for identifying appropriate online health forums for data collection, differentiating posts of patients from other stakeholders, protecting patients’ privacy, sampling, and choosing the unit of analysis. Content analysis phase is built on the framework method, which facilitates and accelerates the identification of patterns and themes by an interdisciplinary research team. In the end, the focus of interpretation of the results phase is to measure the data quality and interpret the findings regarding the dimensions and aspects of patients’ experiences and concerns in their original contexts. Results We demonstrated the usability of the proposed systematic framework using 2 case studies: one on determining factors affecting patients’ attitudes toward antidepressants and another on identifying the disease management strategies in patient with diabetes facing financial difficulties. The framework provides a clear step-by-step process for systematic content analysis of patient narratives and produces high-quality structured results that can be used for describing patterns or regularities in patients’ experiences, generating and testing hypotheses, and identifying areas of improvement in the health care systems. Conclusions The systematic framework is a rigorous and standardized method for qualitative analysis of patient narratives. Findings obtained through such a process indicate authentic dimensions and aspects of patient experiences and shed light on patients’ concerns, needs, preferences, and values, which are the core of patient-centered care. International Registered Report Identifier (IRRID) RR1-10.2196/13914

scholarly journals Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes

10.2196/17577 ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. e17577
Author(s):  
Courtenay Bruce ◽  
Patricia Harrison ◽  
Charlie Giammattei ◽  
Shetal-Nicholas Desai ◽  
Joshua R Sol ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Mobile Health ◽  
Interdisciplinary Approach ◽  
Patient Centered Care ◽  
Patient Centered ◽  
Health Technologies ◽  
Consensus Statements ◽  
Centered Care ◽  
Care Outcomes ◽  
Improve Patient

Several recently published studies and consensus statements have demonstrated that there is only modest (and in many cases, low-quality) evidence that mobile health (mHealth) can improve patient clinical outcomes such as the length of stay or reduction of readmissions. There is also uncertainty as to whether mHealth can improve patient-centered outcomes such as patient engagement or patient satisfaction. One principal challenge behind the “effectiveness” research in this field is a lack of common understanding about what it means to be effective in the digital space (ie, what should constitute a relevant outcome and how best to measure it). In this viewpoint, we call for interdisciplinary, conceptual clarity on the definitions, methodologies, and patient-centered outcomes frequently used in mHealth research. To formulate our recommendations, we used a snowballing approach to identify relevant definitions, outcomes, and methodologies related to mHealth. To begin, we drew heavily upon previously published detailed frameworks that enumerate definitions and measurements of engagement. We built upon these frameworks by extracting other relevant measures of patient-centered care, such as patient satisfaction, patient experience, and patient activation. We describe several definitional inconsistencies for key constructs in the mHealth literature. In an effort to achieve clarity, we tease apart several patient-centered care outcomes, and outline methodologies appropriate to measure each of these patient-care outcomes. By creating a common pathway linking definitions with outcomes and methodologies, we provide a possible interdisciplinary approach to evaluating mHealth technologies. With the broader goal of creating an interdisciplinary approach, we also provide several recommendations that we believe can advance mHealth research and implementation.

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