Self-care: A concept analysis.
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ABSTRACT: Objectives
There is extensive literature from various disciplines on self-care, an important aspect of nursing intervention via evaluation and education, but its meaning remains unprecise due to the difficulty integrating the diverse definitions developed over time across disciplines. Therefore, it is vital to clarify the meaning of self-care and formulate the defining attributes, antecedents, and consequences to self-care.Methods
Walker and Avant's concept analysis approach was used to analyze the concept of self-care. A search of the literature was completed using the databases CINAHL, PubMed, and EBSCOhost for years 1975-2020; literature search included peer-review articles, full-text publications, and available in English. A total of 31 articles were reviewed, and saturation was reached.Results
An extensive review of the literature revealed salient characteristics that reflected the most frequently used terms associated with the concept. Guided by Walker and Avant's method, three defining attributes emerged as common themes: awareness, self-control, and self-reliance.Conclusions
A clarified definition was identified: the ability to care for oneself through awareness, self-control, and self-reliance in order to achieve, maintain, or promote optimal health and well-being.
SUBMITTER: Martinez N
PROVIDER: S-EPMC8488814 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundWorking with eHealth requires health care organizations to make structural changes in the way they work. Organizational structure and process must be adjusted to provide high-quality care. This study is a follow-up study of a systematic literature review on optimally organizing hybrid health care (eHealth and face to face) using the Donabedian Structure-Process-Outcome (SPO) framework to translate the findings into a modus operandi for health care organizations.ObjectiveThis study aimed to develop an SPO-based quality assessment model for organizing hybrid health care using an accompanying self-assessment questionnaire. Health care organizations can use this model and a questionnaire to manage and improve their hybrid health care.MethodsConcept mapping was used to enrich and validate evidence-based knowledge from a literature review using practice-based knowledge from experts. First, brainstorming was conducted. The participants listed all the factors that contributed to the effective organization of hybrid health care and the associated outcomes. Data from the brainstorming phase were combined with data from the literature study, and duplicates were removed. Next, the participants rated the factors on importance and measurability and grouped them into clusters. Finally, using multivariate statistical analysis (multidimensional scaling and hierarchical cluster analysis) and group interpretation, an SPO-based quality management model and an accompanying questionnaire were constructed.ResultsAll participants (n=39) were familiar with eHealth and were health care professionals, managers, researchers, patients, or eHealth suppliers. The brainstorming and literature review resulted in a list of 314 factors. After removing the duplicates, 78 factors remained. Using multivariate statistical analyses and group interpretations, a quality management model and questionnaire incorporating 8 clusters and 33 factors were developed. The 8 clusters included the following: Vision, strategy, and organization; Quality information technology infrastructure and systems; Quality eHealth application; Providing support to health care professionals; Skills, knowledge, and attitude of health care professionals; Attentiveness to the patient; Patient outcomes; and Learning system. The SPO categories were positioned as overarching themes to emphasize the interrelations between the clusters. Finally, a proposal was made to use the self-assessment questionnaire in practice, allowing measurement of the quality of each factor.ConclusionsThe quality of hybrid care is determined by organizational, technological, process, and personal factors. The 33 most important factors were clustered in a quality management model and self-assessment questionnaire called the Hybrid Health Care Quality Assessment. The model visualizes the interrelations between the factors. Using a questionnaire, each factor can be assessed to determine how effectively it is organized and developed over time. Health care organizations can use the Hybrid Health Care Quality Assessment to identify improvement opportunities for solid and sustainable hybrid health care.
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