Factors influencing nurses' compliance related to the use of personal protective equipment during the COVID-19 pandemic: A descriptive cross-sectional study.

AIM: To determine how nurses' experiences with the coronavirus disease (COVID-19) pandemic affected their knowledge, awareness, and compliance related to the use of personal protective equipment (PPE) during the COVID-19 pandemic in South Korea. DESIGN: A descriptive cross-sectional study. METHODS: A total of 247 nurses in South Korea participated in this study between May 10 and 19, 2023. An online self-report questionnaire was used to collect data on demographic and occupational characteristics, COVID-19 experience, knowledge, awareness, and compliance related to the use of PPE. Factors affecting compliance were analysed using hierarchical multiple linear regression. RESULTS: Mean age of the nurses was 31.92, and 94.3% were women. Most had a bachelor's degree or higher and the mean clinical experience as a nurse was 6.45 years. Knowledge of the use of PPE was 8.45 out of 10, awareness was 3.52 out of 5, and compliance was 4.28 out of 5. Knowledge and awareness were correlated with compliance related to PPE use. Awareness (ß = 0.234, p < 0.001), knowledge (ß = 0.218, p < 0.001), experience caring for COVID-19 patients (ß = 0.234, p = 0.004), optional fourth dose vaccine (ß = 0.150, p = 0.017), clinical experience (ß = 0.140, p = 0.022), and COVID-19 infection control education (ß = 0.115, p = 0.037) were found to have a significant impact on compliance. CONCLUSION: During the COVID-19 pandemic, nurses' knowledge and awareness of PPE use was a crucial factor in compliance. factors such as clinical experience, experience in caring for COVID-19 patients, optional vaccination, and completion of COVID-19 education also influenced compliance. We hope that these factors can provide a basis for developing training programs for nurses to respond to future emerging infectious diseases.

Malnutrition and its associated factors among community-dwelling older men living alone.

BACKGROUND/OBJECTIVES: Older men who live alone are more vulnerable to poor nutrition. However, little attention has been paid to malnutrition among this population. This study aimed to examine malnutrition and its associated factors among community-dwelling older men living alone. SUBJECTS/METHODS: This cross-sectional descriptive study used cohort data of community-dwelling older adults living alone in South Korea. A total of 230 older men aged 65 and over were included in this study. Nutritional status was assessed using the Mini Nutritional Assessment-Short Form. Multidimensional factors (sociodemographic, health-related, psychosocial, and lifestyle characteristics) were evaluated. Hierarchical logistic regression analyses were conducted to identify the malnutrition-related factors. RESULTS: The prevalence of malnutrition was 32.2% in older men living alone. Low income (odds ratio [OR], 2.44; 95% confidence interval [CI], 1.01-5.90), polypharmacy (OR, 2.23; 95% CI, 1.16-4.28), suicidal ideation (OR, 2.13; 95% CI, 1.02-4.45), meal skipping (OR, 3.26; 95% CI, 1.60-6.64), and smoking (OR, 2.86; 95% CI, 1.43-5.73) were significantly associated with malnutrition. CONCLUSION: Malnutrition is a severe health problem in older men living alone. This study highlights the importance of comprehensive and tailored interventions to mitigate malnutrition among older men living alone.

A network-based approach to explore comorbidity patterns among community-dwelling older adults living alone.

The detailed comorbidity patterns of community-dwelling older adults have not yet been explored. This study employed a network-based approach to investigate the comorbidity patterns of community-dwelling older adults living alone. The sample comprised a cross-sectional cohort of adults 65 or older living alone in a Korean city (n = 1041; mean age = 77.7 years, 77.6% women). A comorbidity network analysis that estimates networks aggregated from measures of significant co-occurrence between pairs of diseases was employed to investigate comorbid associations between 31 chronic conditions. A cluster detection algorithm was employed to identify specific clusters of comorbidities. The association strength was expressed as the observed-to-expected ratio (OER). As a result, fifteen diseases were interconnected within the network (OER > 1, p-value < .05). While hypertension had a high prevalence, osteoporosis was the most central disease, co-occurring with numerous other diseases. The strongest associations among comorbidities were found between thyroid disease and urinary incontinence, chronic otitis media and osteoporosis, gastric duodenal ulcer/gastritis and anemia, and depression and gastric duodenal ulcer/gastritis (OER > 1.85). Three distinct clusters were identified as follows: (a) cataracts, osteoporosis, chronic otitis media, osteoarthritis/rheumatism, low back pain/sciatica, urinary incontinence, post-accident sequelae, and thyroid diseases; (b) hyperlipidemia, diabetes mellitus, and hypertension; and (c) depression, skin disease, gastric duodenal ulcer/gastritis, and anemia. The results may prove valuable in guiding the early diagnosis, management, and treatment of comorbidities in older adults living alone.

Leveraging network analysis to determine sex differences in factors associated with frailty among older adults living alone.

BACKGROUND: Frailty is a complex geriatric syndrome typically characterized by multiple underlying etiological factors. We determined the contributing factors, by sex, using a network analysis. METHODS: The study sample consisted of a cross-sectional cohort of community-dwelling older adults aged ≥ 65 years living alone in a Korean city (N = 1,037). Frailty was assessed via the Korean Frailty Index. Participants were assessed for sociodemographic, health-related, mental and cognitive, and social characteristics. Mixed graphical models including all variables were estimated using the R-package mgm discretely by sex. We also used the Walktrap cluster algorithm to identify differences in the network structure in terms of connectivity around frailty between the sex groups for further insights. RESULTS: In both the networks for males and females, frailty correlated most strongly with nutritional status, presence of complex chronic disease, and self-efficacy, and exhibited proximity to decreased sleep quality and loneliness. However, frailty showed an association with suicidal ideation and the number of falls per year only in males, whereas it showed an association with functional disabilities only in females. The overall network connectivity around frailty was stronger with dense interactions (more edges) in the network for females than for males. CONCLUSIONS: The results signify the need for sex-group customized multi-domain assessments and interventions for the prevention and improvement of frailty among community-dwelling older adults.

Use of Exploratory Graph Analysis in Inspecting the Dimensionality of the Revised University of California Los Angeles (R-UCLA) Loneliness Scale Among Older Adults.

Exploratory graph analysis (EGA) based on network theory has been introduced as a highly reliable and effective method to assess scales' dimensionality. We estimated the dimensional network structure of the Revised University of California Los Angeles Loneliness Scale using EGA among a cross-sectional cohort of Korean older adults living alone (N = 1,041). We also evaluated the stability of estimates using a bootstrap version of EGA (bootEGA) and verified the overall fit structure using confirmatory factor analysis (CFA). EGA revealed a two-dimensional structure of the scale initially. The bootEGA result revealed that Item 4 ("I do not feel alone") did not sufficiently load on any dimension, and Item 20 ("There are people I can turn to") was replicated in two or more dimensions. Removing these items resulted in better stability of the dimensions, leading to excellent structural consistency. CFA confirmed a satisfactory fit of the improved structure. [Research in Gerontological Nursing, 16(1), 15-20.].

Changes in the health status and health-related quality of life of community-dwelling older adults living alone: one-year follow-up from a cohort study.

Background: The percentage of older adults living alone is rapidly increasing, improving the health status and health-related quality of life (HRQoL) in this group is becoming a more significant public health issue. This study aimed to examine the changes in the HRQoL of older South Korean adults living alone and identify the factors that affect their HRQoL. Methods: A longitudinal study design was followed. Data were collected at baseline and 1-year follow-up. Participants consisting of 789 older adults living alone in S*City aged>65 years completed a cohort survey regarding health status and HRQoL from August 2018 to August 2019. Trained interviewers conducted face-to-face interviews with the participants using a validated questionnaire (physical health, mental health, social health, and HRQoL). Generalized estimating equations were used to assess the change in health status and the interaction effect of time and gender. Then, a stepwise multiple logistic regression analysis was performed to identify factors related to HRQoL. Results: Time differences were observed in the subjective evaluation of health status (SEH), IPAQ scores, frailty, nutritional status, and depression. Gender differences were observed in the SEH, IPAQ, frailty, loneliness, depression, and social support. The interaction between time and gender was observed in the IPAQ and HRQoL. At baseline, SEH, depressive symptoms, gender, frailty, and age were associated with HRQoL. After one year, HRQoL was associated with SEH, frailty, depressive symptoms, cost of living, suicidal thoughts, gender, social support, loneliness, and suicide attempts. Conclusion: Our results highlight that HRQoL is associated with physical health, mental health, and social support. Future detailed studies are needed to determine whether governments and communities can prevent depression, loneliness, and suicidal thoughts through psychological support and provide economic support to improve the quality of life of older adults living alone.

Frontline nurses' burnout and its associated factors during the COVID-19 pandemic in South Korea.

BACKGROUND: The Coronavirus disease pandemic is a global health crisis with psychological consequences for healthcare workers. PURPOSE: To identify the prevalence and potential factors influencing burnout among frontline nurses in South Korea. METHODS: This cross-sectional study comprised 161 nurses who voluntarily participated in the survey through advertisements at a general hospital. Data on sociodemographic and professional characteristics, insomnia, depression, anxiety, stress, and burnout were collected via an online questionnaire in 2021. RESULTS: Among the participants, 90 had a high level of burnout. Overall, 59.6 %, 23.0 %, 36.0 %, and 17.4 % of nurses experienced insomnia, depression, anxiety, and stress, respectively. The results showed that the assigned number of patients, insomnia, and depression were the major factors affecting burnout levels of nursing staff. CONCLUSIONS: Frontline nurses were the main force in the fight against public health emergencies. The government and medical institutions must consider professional and psychological factors in ameliorating burnout and safety for nurses.

[An Analysis of Tasks of Nurses Caring for Patients with COVID-19 in a Nationally-Designated Inpatient Treatment Unit].

PURPOSE: The purpose of this study was to provide foundational knowledge on nursing tasks performed on patients with COVID-19 in a nationally-designated inpatient treatment unit. METHODS: This study employs both quantitative and qualitative approaches. The quantitative method investigated the content and frequency of nursing tasks for 460 patients (age ≥ 18 y, 57.4% men) from January 20, 2020, to September 30, 2021, by analyzing hospital information system records. Qualitative data were collected via focus group interviews. The study involved interviews with three focus groups comprising 18 nurses overall to assess their experiences and perspectives on nursing care during the pandemic from February 3, 2022, to February 15, 2022. The data were examined with thematic analysis. RESULTS: Overall, 49 different areas of nursing tasks (n = 130,687) were identified based on the Korean Patient Classification System for nurses during the study period. Among the performed tasks, monitoring of oxygen saturation and measuring of vital signs were considered high-priority. From the focus group interview, three main themes and eleven sub-themes were generated. The three main themes are "Experiencing eventfulness in isolated settings," "All-around player," and "Reflections for solutions." CONCLUSION: During the COVID-19 pandemic, it is imperative to ensure adequate staffing levels, compensation, and educational support for nurses. The study further propose improving guidelines for emerging infectious diseases and patient classification systems to improve the overall quality of patient care.

Structural equation model of the relationship between functional ability, mental health, and quality of life in older adults living alone.

AIMS: Living alone, a reality in an increasing number of older adults recently, is a risk factor for low quality of life. This study identified the predictors of quality of life in older adults living alone based on mental health and the International Classification of Functioning, Disability, and Health. METHODS: This secondary data analysis used information from the 2018 Assessing the Requirements of Customized Health Care and Daily Living Support Services survey (N = 1,022), collected from adults aged ≥ 65 living alone in Siheung City, South Korea, from August to October 2018. The exogenous variables were body functions (hand grip strength, timed "up and go" test score, and body mass index), daily living activities (Korean Instrumental Activities of the Daily Living Scale), social activity participation (social activity engagement, neighbor contacts, and family contacts), and participation in economic activity (frequency). The endogenous variables were mental health (Geriatric Depression Scale Short Form-Korean Version and UCLA Loneliness Scale) and quality of life (EuroQoL-5 Dimension-3 Level and EuroQoL-Visual Analog Scale). RESULTS: After modifying the hypothetical model, which had failed to satisfy the recommended fitness level, the (modified) model had good fitness indices Q (CMIN / df) 2.90, GFI 1, AGFI 1, RMSEA 0.04, CFI 0.90 and PCFI 0.53. Of the nine pathways of the modified model, five were statistically significant. Quality of life was affected by body functions, daily living activities, social activity participation, and mental health. These variables explained 68.2% of the factors affecting quality of life. CONCLUSIONS: By highlighting the role of mental health, this model provides a useful framework for improving the quality of life of older adults who live alone and function at various levels in the community. Focusing on advancing mental health through body functions, daily living activities, and social activity participation can improve quality of life.

Impact of COVID-19 on the social relationships and mental health of older adults living alone: A two-year prospective cohort study.

BACKGROUND: Owing to the COVID-19 outbreak, older adults living alone, who can only connect socially outside their homes, are at risk of social isolation and poor mental health. This study aimed to identify the changes, before and after COVID-19, by sex and age, in social relationships (social activity, social network, and social support) and mental health (depression and suicide ideation) among older adults living alone. METHODS: This is a prospective cohort study of community-dwelling older adults who were at least 65 years old and living alone in South Korea. The study was conducted during 2018-2020 with 2,291 participants (795, 771, and 725 for the 1st to 3rd waves, respectively). The data were collected via face-to-face interviews. A generalized linear mixed modeling framework was used to test for changes over three years. RESULTS: Social activity was reduced after the COVID-19, with an interaction effect of sex: older women (odds ratio [OR], 0.19; 95% confidence interval [CI], 0.15-0.23; p < .001) showed greater reduction than older men (OR, 0.50; 95% CI, 0.34-0.75; p < .001). Interaction with neighbors also reduced after the pandemic, but there was no significant evidence of interaction effects. Interaction with family members increased in both sexes during the pandemic, with the interaction effect of sex: older women (OR, 1.40; 95% CI, 1.11-1.76; p = .004) showed greater increase than men (OR, 1.55; 95% CI, 1.13-2.14; p = .007). Social support increased in both sexes during the pandemic, but there was no significant evidence of interaction effects. Depression and suicide ideation showed no significant differences before and after the pandemic. CONCLUSIONS: The findings provide health administrators and health providers with explorative insights into the impact of the COVID-19 on social relationships and mental health among older adults living alone and can guide further studies of interventions considering specific properties of social relationships.

A Pilot Study of Machine Learning-Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults.

As life expectancy increases, there is a growing consensus on the development of integrated care encompassing the health and daily activities of older adults. In recent years, although the demand for machine learning applications in healthcare has increased, only a few studies have implemented machine learning-based systems in integrated care for older adults owing to the complex needs of older adults and the coarseness of the available data. Our study aims to explore the possibility of implementing machine learning decision-support algorithms in the integrated care of older community-dwelling adults. Our experiment uses secondary data based on the community-based integrated service model. Such data were collected from 511 older adults through 162 assessment items in which tailored services were selected from 18 available services. We implemented four machine learning models: decision tree, random forest, K-nearest neighbors, and multilayer perceptron. The area under the receiver operating characteristic curve results of the four models were decision tree = 0.89, K-nearest neighbors = 0.88, random forest = 0.93, and multilayer perceptron = 0.88. The results suggest that machine learning-based decision-assisting algorithms can improve the quality of tailored services for integrated care with intensive involvement of face-to-face tasks by reducing the simple, repetitive tasks of care managers.

[Nurses' Experience with Caring for COVID-19 Patients in a Negative Pressure Room Amid the Pandemic Situation].

PURPOSE: The purpose of this study was to explore nurses' experience with caring for COVID-19 patients in a negative pressure room amid the spread of the pandemic. METHODS: This study was a qualitative research, and focus group interviews were used to collect data. Three focus groups comprising 19 nurses were interviewed from February 17 to 25, 2021. All interviews were recorded and transcribed verbatim with the consent of the participants. The verbatim transcripts were scrutinized using thematic analysis. RESULTS: Two main themes emerged from the analysis: 'Struggling in an isolated space' and 'Limitations of nursing infrastructure and system'. The nurses caring for COVID-19 patients experienced anxiety and fear about the infection, physical exhaustion, emotional burnout, and a sense of duty as a nurse. They also acknowledged the lack of guidelines, increased task and burden, limitations of nursing care, and the demand for improving the limitations of the nursing system. CONCLUSION: The results of this study demonstrate that nurses caring for COVID-19 patients encounter physical and emotional problems within the limited healthcare system. The study suggests that comprehensive interventions are needed for nurses. Furthermore, detailed guidelines, strengthening of nursing personnel, and improvements to the nursing system are vital to effectively cope with the pandemic. The government and medical institutions should be aware of the needs of nurses and what they are going through, and make efforts to improve the quality of life of healthcare workers and create a safe healthcare environment.

Effectiveness of a community-based integrated service model for older adults living alone: A nonrandomized prospective study.

OBJECTIVE: Older adults living alone face physical, emotional, and social health problems, and prefer to age in place (AIP) in their homes. A community-based integrated model for AIP is needed and few studies have identified its impact on older adults living alone. METHODS: This was a non-randomized prospective study. Participants were 877 community-dwelling older adults living alone, aged above 65 years, in S* city in South Korea. The intervention group (n = 331) received a community-based integrated service (CBIS) model based on AIP for six months from October 2019 to April 2020. RESULTS: Scores on frailty (ß = -0.377, p < .001), loneliness (ß = -1.897, p = .018), and health-related quality of life (ß = 4.299, p = .021) significantly improved in the intervention group. Among the intervention group, loneliness scores significantly improved among participants aged under 80 years than those aged over 80 years. CONCLUSION: The CBIS model improved frailty, loneliness, and quality of life in community-dwelling older adults living alone.

A Psychometric Analysis of the 20-item Revised University of California Los Angeles Loneliness Scale Among Korean Older Adults Living Alone.

The current study aimed to explore the factor structure of the Korean version of the Revised University of California Los Angeles loneliness scale for the Korean older adult population. Analyses were based on a cross-sectional cohort of 1,041 community-dwelling older adults (age ≥65 years) living alone in one Korean city. Exploratory factor analysis (EFA) was conducted to determine the underlying structure of the scale, and confirmatory factor analysis (CFA) was used to ascertain the validity of the outcomes. For reliability, Cronbach's alpha was computed. Based on EFA and CFA results, a two-factor structure was found. The first factor reflected "intimate loneliness" and the second "relational loneliness." Derived factors demonstrated satisfactory reliability (>0.8). The two factors of loneliness identified in this study could be considered when attempting to treat loneliness among older adults. Nevertheless, future studies should confirm the findings of this study and evaluate aspects of validity beyond factorial validity to further support the conceptual separation of the two identified factors. [Research in Gerontological Nursing, 14(6), 305-316.].

Factors Related to Self-Confidence to Live Alone in Community-Dwelling Older Adults: A Cross-Sectional Study.

BACKGROUND: Many older adults prefer to live alone in their own homes, with age-related issues in physical movement, regardless of their cultural background. Importantly, however, to identify the features of successfully ageing in place (AIP), and foster independent living among these individuals, this study explored their level of self-confidence to live alone and its related factors. METHODS: We conducted a cross-sectional study using secondary data from an earlier study with older adults living alone in South Korea recruited by convenience sampling methods (N = 936, mean age = 77.1 years, 76.1% female). Data regarding the general, health-related, and social characteristics as well as self-confidence to live alone were collected via face-to-face interviews in 2019. Self-confidence to live alone was measured with a numeric rating scale of 0 to 10. RESULTS: The average self-confidence score to live alone was 6.59. A regression analysis showed that mould exposure at home, depression, emergency department visits, and loneliness hinder self-confidence to live alone. Meanwhile, such self-confidence was facilitated by independency in instrumental activities of daily living (IADL), interactions with family members, social service utilisation, and social support. CONCLUSIONS: This study suggests that healthcare providers need to consider the importance of self-confidence to live alone and influencing functional, mental, social, and environmental factors to promote quality of life as well as successful AIP for older adults living alone. Further, self-confidence to live alone could be a new practical index in the field of health and ageing to screen the successful AIP of older adults living alone.

Psychosocial risk profiles among older adults living alone in South Korea: A latent profile analysis.

OBJECTIVES: This study explored the psychosocial risk profiles and various characteristics associated with profile membership among Korean older adults living alone. METHODS: Our analyses were based on a cross-sectional cohort of 1030 community-dwelling older adults (≥ 65 years) living alone in one Korean city. Latent profile analysis was used to identify psychosocial risk profiles across a wide range of psychosocial dimensions (depressive symptoms, suicidal ideation, cognitive dysfunction, loneliness, and perceived social support). We then explored the characteristics associated with distinct profiles by conducting bivariate and regression analyses. RESULTS: The three-profile was selected as the best solution: a group with high cognitive dysfunction, high loneliness, and low social support (profile 1), a group with low psychological risks and high social support (profile 2), and a group with high depression and high suicidal ideation (profile 3). Regression analyses showed that a lower frequency of interaction with neighbors or families, a greater frailty score, and lower quality of life were significantly associated with profile 1 or profile 3 than with profile 2 (p < .05). Further, being male and having a poorer nutritional status was more significantly related to profile 3 than profile 2 (p < .05). CONCLUSIONS: Findings provide evidence for healthcare professionals when developing interventions to prevent and reduce these psychosocial risks for older individuals living alone. In particular, factors associated with profile membership identified in the study may facilitate more tailored interventions.

[Face Mask Usage, Knowledge and Behavior of Face Mask Usage in Older Adults Living Alone in the COVID-19 Era].

PURPOSE: This study analyzed the current status of face mask usage. It also identified factors related to the knowledge and behavior regarding the same among older adults living alone during the COVID-19 pandemic. METHODS: This descriptive study was conducted via a telephone survey involving 283 older adults living alone in S City from March to April 2020. Knowledge and behavior pertaining to face mask usage were measured using Hilda Ho's Face Mask Use Scale; reliability of the measurement was Kuder-Richardson formula-20 = .62, Cronbach's α = .92. Data were analyzed using descriptive analysis, independent t-test, Pearson's correlation coefficient, and multiple linear regression. RESULTS: Older adults used one mask for 3.55 days on an average. The knowledge level was 9.97 (± 1.84) out of 12 and behavior level was 15.49 (± 1.55) out of 16. Level of education (ß = - .31, p < .001), living region (ß = .13, p = .017), personal income (ß = .12, p = .041) significantly affected the face mask usage-related knowledge, and living region (ß = .15, p = .010) significantly affected the face mask usage-related behavior. CONCLUSION: Older adults living alone are aware of the effects of using face masks. However, their mask usage is inappropriate, for example, the prolonged use of the same mask. Considering the low level of face mask usage-related knowledge, it is necessary to develop customized education programs and infectious disease prevention strategies for older adults possessing low educational levels living alone in urban-rural complex areas.

Implementation of a multimodal infection control strategy in the nursing home.

The main cause of morbidity and mortality among residents of nursing homes (NHs) is healthcare-associated infections (HAIs). We conducted infection control intervention by applying the WHO multimodal strategy for one year from January to December 2018 in the one NH in South Korea. Healthcare workers (HCWs) in NH were observed by infection control nurse from February to December 2018. Hand hygiene (HH) compliance according WHO 5 moments and type of HH, glove use were measured as main outcomes. During the intervention period, a total of 1,461 cases were observed. HH compliance among HCWs increased from 12.6% to 55.2% after the intervention. According to WHO 5 moments, HH before touching a patient and after touching a patient saw significant improvements. Further, glove misuse decreased significantly from 45.9% to 25.4%. The multifaceted infection control program in the NH group significantly improved the HH compliance of HCWs.

The effectiveness of the information-motivation-behavioral skills model-based intervention on preventive behaviors against respiratory infection among community-dwelling older adults.

OBJECTIVE: To evaluate the effectiveness of an information-motivation-behavioral skills (IMB) model-based multi-component intervention on engagement and the quality of preventive behaviors against respiratory infections among community-dwelling older adults. METHODS: This study was a controlled pretest-posttest study in which 91 community-dwelling older adults aged above 65 years were included. The intervention group (n = 42) received the six-week intervention theoretically based on the IMB model that comprised weekly group education and 5-10 min of tele-counseling per week. RESULTS: The results showed that, after the intervention, the improvement in the level of knowledge, self-efficacy, self-reported engagement, and the quality of respiratory infection preventive behaviors was significantly greater in the intervention group compared to the control group. There was no significant difference between the two groups for the perceived threat of respiratory infection. CONCLUSION: The IMB model-based intervention improved the engagement and quality of preventive behaviors by increasing the level of knowledge and self-efficacy in community-dwelling older adults. PRACTICE IMPLICATIONS: The IMB model-based multi-component intervention can be an effective approach to improve preventive behaviors and will contribute to the preparation of communities for outbreaks of respiratory infections.

Development of a Community-Based Integrated Service Model of Health and Social Care for Older Adults Living Alone.

The number of elderly people living alone worldwide is increasing, and the responsibility of the state in this context is emerging. This study aimed to develop a community-based integrated service (CBIS) model of health and social care for older adults living alone. The model was designed based on a literature review of previous community care models and per older adults' health and daily life needs. Thereafter, feedback on the integrated model was taken from older adults living alone by conducting a survey (n = 1023) and focus group interviews, after which the opinions of the Public type Health Management Promotion Council were considered and content validity was confirmed. The model, comprising eight healthcare services and five social care services, was tested on 22 older adults for two weeks to assess its feasibility and preliminary efficiency. Each service included screening, assessment, providing service, evaluation, and quit. Participants rated their overall satisfaction with the services as 9 out of 10. Care navigators reported feeling comforted and discovered their own sense of being while providing the services. We believe that the CBIS model may foster independence among community-dwelling older adults living alone, thereby improving their quality of life through "aging in place".