Exploring Healthcare Providers' Difficulties and Strategies when Caring for Community-Dwelling People With Dementia Who are at Risk of Getting Lost.

Caring for patients with dementia at risk of getting lost is challenging for community healthcare providers. Through semi-structured interviews with 25 participants, we examined the challenges faced by these providers and the strategies they employed. We identified the following themes of challenging parts: (a) the disturbance caused by behavioral and psychological symptoms in dementia; (b) difficulty in helping older family caregivers to keep the patient from going out; (c) difficulty in changing the attitudes of the family members; families' unawareness of the risk of getting lost. We also identified the following strategies to mitigate these themes: (a) detecting the risk of getting lost through early assessment; (b) encouraging the family to use resources or devices to prevent the patient from getting lost; (c) educating the family to manage behavior and psychological symptoms of dementia; (d) strengthening the patient's crisis awareness.

Association of intrinsic capacity and medication non-adherence among older adults with non-communicable diseases in Taiwan.

OBJECTIVES: Medication non-adherence among older adults with non-communicable diseases (NCDs) remains prevalent worldwide, which causes hospitalization and mortality. Our study aimed to examine the association of medication non-adherence with level of overall intrinsic capacity (IC), pattern of IC, and specific IC component among older adults with NCDs. METHODS: A cross-sectional questionnaire-based survey of 1268 older adults aged 60 years and above was conducted in 2022 in southern Taiwan. Among them, 894 suffered from 1 more NCD were included in this study. The Integrated Care for Older People Screening Tool for Taiwanese and the Adherence to Refills and Medication Scale were used to assess IC and medication non-adherence, respectively. Latent class analysis (LCA) was used to identify patterns of IC impairment, and binary logistic regression was used to assess the association between medication non-adherence and IC. RESULTS: Older adults in the moderate (score: 1-2) or low (score≧3) overall IC groups were more likely to experience medication non-adherence (moderate: adjusted odds ratio (aOR) 1.57 [95% CI: 1.05-2.36]; low: 2.26 [1.40-3.67]). The "physical and nutritional impairments accompanied by depressive symptoms" group was associated with statistically higher odds of medication non-adherence (aOR 1.66 [1.01-2.73]). Older adults with cognitive impairment, hearing loss, or depressive symptoms showed greater likelihood of medication non-adherence (cognitive impairment: aOR 1.53 [1.03-2.27]; hearing loss: aOR 1.57 [1.03-2.37]; depressive symptoms: aOR 1.81 [1.17-2.80]). CONCLUSIONS: Intervention for improving medication non-adherence among older adults with NCDs should consider IC.

Clinimetric Properties of the "FIND-NEEDS" to Screen Geriatric Conditions.

INTRODUCTION: Comprehensive geriatric assessment (CGA) is used to thoroughly assess and identify complex healthcare problems among older adults. However, administration of CGA is time-consuming and labor intensive. A simple screening tool with the mnemonic "FIND-NEEDS" was developed to quickly identify common geriatric conditions. The present study was to evaluate the clinimetric properties of the FIND-NEEDS. METHODS: The participants comprised first-visiting older adults aged 65 years and above (and who were able to communicate by themselves or with the help of a caregiver) who were assessed (October to December, 2021) using the FIND-NEEDS and CGA at geriatric outpatient clinics of a tertiary, referred medical center. The FIND-NEEDS was examined for its criterion-related validity and compared with the CGA results. Two types of scoring (summed score and binary score) of FIND-NEEDS and CGA were analyzed using Spearman correlation, sensitivity and specificity, and area under receiver operating characteristic curve (AUC). RESULTS: The mean age of the 114 outpatients was 78.3 ± 7.6 years, and 79 (69.3%) were female. The internal consistency was excellent when using all FIND-NEEDS items, and was acceptable when using domain scores. Exploratory factor analysis showed that most of the FIND-NEEDS domain scores had factor loadings higher than 0.3. Intercorrelations of binary scores between domains of FIND-NEEDS and CGA showed most domains were moderately correlated. The overall correlation of summed scores between FIND-NEEDS and CGA was high. The FIND-NEEDS summed score was moderately correlated with CGA score (r = 0.494; p < 0.001), and the binary score showed excellent correlation (r = 0.944; p < 0.001). When using the CGA score as the gold standard, the FIND-NEEDS showed excellent AUC (0.950), sensitivity (1.00), and specificity (0.90). DISCUSSION/CONCLUSION: The present study demonstrated that the FIND-NEEDS had acceptable clinimetric properties to screen for geriatric problems among older adults. Further in-depth assessment and care plan can then be conducted afterwards.

Frailty in Older Adults with Dengue Fever.

Background and objectives: Dengue is one of the most common epidemic infections around the world. Dengue infections in older adults are related to an atypical presentation and a high mortality. Frailty is associated with poor recovery from hospitalization due to infection. However, few studies describe frailty and functional decline after dengue infection. The current case series study aims to investigate the baseline frailty status, functional decline, and time to recovery in older adults after dengue infection. Method: We studied seven patients with post-dengue frailty who had been admitted to the geriatric ward in one tertiary medical center in Taiwan during the 2023 dengue fever outbreak. Result: The mean age was 82 years old. The clinical frailty scale worsened from a mean of 4.7 at baseline to 6.3 at dengue diagnosis. The mean Katz Index of independence in activities of daily living decreased from 10.6 at baseline to 4.7 with dengue, and it recovered to 6.7 one month after discharge. Conclusions: Our preliminary data suggest that there is indeed an increase in frailty in older adults due to dengue. Post-dengue frailty and functional decline might be profound and persistent. Acute geriatric care intervention rehabilitation for frailty after dengue may benefit this population.

Effects of Advance Care Planning on End-of-Life Indicators for Nursing Home Residents-An Experimental Study with a Retrospective Chart Review.

Advance care planning (ACP) has the potential to improve the outcomes of end-of-life care for residents in nursing homes. The aim of this study was to determine whether an ACP program was beneficial for nursing home residents by assessing end-of-life indicators. An experimental study with a retrospective chart review was conducted. In total, 37 residents in the intervention group participated in an institutional advance care planning program for 1 year, and their chart data over 1 year were collected following the completion of the program; 33 residents in the control group had died within 1 year before the start date of program, and their chart data were reviewed retrospectively. Chi-square and t tests were used to examine four indicators of the quality of end-of-life care. Compared with the control group, the intervention group had a higher proportion of do-not-resuscitate directives, hospice care before death, and deaths in the nursing home, and fewer hospitalizations and deaths in an emergency department. ACP programs may improve the quality of end-of-life care for nursing home residents in Taiwan. Further research across different long-term care facilities is warranted.

Novel Prediction Score for Arterial-Esophageal Fistula in Patients with Esophageal Cancer Bleeding: A Multicenter Study.

PURPOSE: To develop and internally validate a novel prediction score to predict the occurrence of arterial-esophageal fistula (AEF) in esophageal cancer bleeding. METHODS: This retrospective cohort study enrolled patients with esophageal cancer bleeding in the emergency department. The primary outcome was the diagnosis of AEF. The patients were randomly divided into a derivation group and a validation group. In the derivation stage, a predictive model was developed using logistic regression analysis. Subsequently, internal validation of the model was conducted in the validation cohort during the validation stage to assess its discrimination ability. RESULTS: A total of 257 patients were enrolled in this study. All participants were randomized to a derivation cohort (n = 155) and a validation cohort (n = 102). AEF occurred in 22 patients (14.2%) in the derivation group and 14 patients (13.7%) in the validation group. A predictive model (HEARTS-Score) comprising five variables (hematemesis, active bleeding, serum creatinine level >1.2 mg/dL, prothrombin time >13 s, and previous stent implantation) was established. The HEARTS-Score demonstrated a high discriminative ability in both the derivation and validation cohorts, with c-statistics of 0.90 (95% CI 0.82-0.98) and 0.82 (95% CI 0.72-0.92), respectively. CONCLUSIONS: By employing this novel prediction score, clinicians can make more objective risk assessments, optimizing diagnostic strategies and tailoring treatment approaches.

Effects of an integrated ambulatory care program on healthcare utilization and costs in older patients with multimorbidity: a propensity score-matched cohort study.

BACKGROUND: Population aging has increased the prevalence of multimorbidity, jeopardizing the sustainability and efficiency of healthcare systems. This study aimed to evaluate the effects of an integrated ambulatory care program (IACP) on healthcare utilization and costs among older patients with multimorbidity while accounting for the confounding effects of frailty. METHODS: A retrospective cohort study using propensity matching including patients aged 65 or older with two or more chronic conditions attending the outpatient clinic at our hospital between June 1 and December 31, 2019, was conducted. Exposure was defined as receipt of IACP care. Patients not undergoing the IACP comprised the unexposed group and were matched at a ratio of 1:4 to patients undergoing the IACP group according to sex, age, Charlson Comorbidity Index score, multimorbidity frailty index score, and number of outpatient visits within 6 months before the index date. Outcomes were changes in healthcare utilization and related costs between 6 months before and after receiving IACP care. Multivariate regression analyses were used for data analysis and the Generalized Estimation Equation method was used to fit the regression models. RESULTS: A total of 166 (IACP) and 664 (non-exposed) patients were analyzed. The mean participant baseline ages were 77.15 ± 7.77 (IACP) and 77.28 ± 7.90 years (unexposed). In univariate analyses, the IACP group demonstrated greater reductions than the unexposed group in the frequency of outpatient visits (-3.16 vs. -1.36, p < 0.001), number of physicians visited (-0.99 vs. -0.17, p < 0.001), diagnostic fees (-1300 New Taiwan Dollar [NTD] vs. -520 NTD, p < 0.001), drug prescription fees (-250 NTD vs. -70 NTD, p < 0.001), and examination fees (-1620 NTD vs. -700 NTD, p = 0.014). Multivariate analyses demonstrated that patients in the IACP group experienced significant reduction in the frequency of outpatient visits (95% CI: -0.357 to -0.181, p < 0.001), number of physicians visited (95% CI: -0.334 to -0.199, p < 0.001), and overall outpatient costs (95% CI: -0.082 to -0.011, p = 0.01). However, emergency department utilization, hospitalization, and costs did not differ significantly. CONCLUSIONS: Expanding IACPs may help patients with multimorbidity reduce their use of outpatient clinics at the 6-month follow-up, reduce care fragmentation, and promote sustainability of the healthcare system.

Characterization of Hair Metabolome in 5xFAD Mice and Patients with Alzheimer's Disease Using Mass Spectrometry-Based Metabolomics.

Hair emerged as a biospecimen for long-term investigation of endogenous metabolic perturbations, reflecting the chemical composition circulating in the blood over the past months. Despite its potential, the use of human hair for metabolomics in Alzheimer's disease (AD) research remains limited. Here, we performed both untargeted and targeted metabolomic approaches to profile the key metabolic pathways in the hair of 5xFAD mice, a widely used AD mouse model. Furthermore, we applied the discovered metabolites to human subjects. Hair samples were collected from 6-month-old 5xFAD mice, a stage marked by widespread accumulation of amyloid plaques in the brain, followed by sample preparation and high-resolution mass spectrometry analysis. Forty-five discriminatory metabolites were discovered in the hair of 6-month-old 5xFAD mice compared to wild-type control mice. Enrichment analysis revealed three key metabolic pathways: arachidonic acid metabolism, sphingolipid metabolism, and alanine, aspartate, and glutamate metabolism. Among these pathways, six metabolites demonstrated significant differences in the hair of 2-month-old 5xFAD mice, a stage prior to the onset of amyloid plaque deposition. These findings suggest their potential involvement in the early stages of AD pathogenesis. When evaluating 45 discriminatory metabolites for distinguishing patients with AD from nondemented controls, a combination of l-valine and arachidonic acid significantly differentiated these two groups, achieving a 0.88 area under the curve. Taken together, these findings highlight the potential of hair metabolomics in identifying disease-specific metabolic alterations and developing biomarkers for improving disease detection and monitoring.

Effectiveness of an Integrated Ambulatory Care Program in Health Care and Medication Use in Patients With Multimorbidity and Polypharmacy.

BACKGROUND AND OBJECTIVES: Multimorbidity increases risks, such as polypharmacy, inappropriate prescription, and functional decline. It also increases medical care utilization by older adults, placing a burden on health care systems. This study evaluated the effectiveness of an integrated ambulatory care program for health care and medication use in patients with multimorbidity and polypharmacy. METHODS: We conducted a retrospective clinical review of adults with multimorbidity and polypharmacy who attended an integrated ambulatory care program at a 1193-bed university hospital between July 1 and September 30, 2019. This program involves multidisciplinary teamwork, comprehensive assessments, medication reviews, and case management. Outcomes, including the frequency of outpatient visits, emergency department visits, hospitalizations, chronic prescription medications, potentially inappropriate medications (PIMs), health care costs, and total medical expenditure, were compared before and after the program. RESULTS: The mean age of participants (n = 134) at baseline was 74.22 ± 9.75 years. The mean number of chronic diagnoses was 9.45 ± 3.38. Participants included 72 (53.7%) women. At the 1-year follow-up, participants showed a significant decrease in the annual frequency of outpatient visits (19.78 ± 9.98 to 13.90 ± 10.22, P < .001), emergency department visits (1.04 ± 1.70 to 0.73 ± 1.40, P = .029), and chronic disease medications (10.71 ± 3.96 to 9.57 ± 3.67, P < .001) across all age groups. There was also a reduction in the annual number of PIMs (from 1.31 ± 1.01 to 1.12 ± 0.93, P = .002) among patients aged 65 years. However, no effects were observed on annual hospitalization, duration of hospital stay, or total health care expenditure, possibly due to the high disease-related treatment cost for certain participants. CONCLUSIONS: Expanding integrated ambulatory care programs in Taiwan may help patients with multimorbidity reduce their use of outpatient and emergency services, chronic prescriptions, and PIMs.

Effectiveness of outpatient geriatric evaluation and management intervention on survival and nursing home admission: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: The benefit of inpatient comprehensive geriatric assessment on patient survival and function has been demonstrated among frail older patients. However, the influence of outpatient geriatric evaluation and management (GEM) on clinical outcomes remains debated. This study aimed to update the research evidence detailing the effect of outpatient GEM on survival and nursing-home admission through a comparison with conventional care. METHODS: Cochrane Library, EMBASE, and MEDLINE databases were searched up to January 29th, 2022, to identify randomized controlled trials (RCTs) including older people over age 55 that compared outpatient GEM with conventional care on mortality (primary outcome) and nursing-home admission (secondary outcome) during a follow-up period of 12 to 36 months. RESULTS: Nineteen reports from 11 studies that recruited 7,993 participants (mean age 70-83) were included. Overall, outpatient GEM significantly reduced mortality (risk ratio (RR) = 0.87, 95% confidence interval (CI) = 0.77-0.99, I2 = 12%). For the subgroup analysis categorized by different follow-up periods, its prognostic benefit was only disclosed for 24-month mortality (RR = 0.68, 95% CI = 0.51-0.91, I2 = 0%), but not for 12- or 15 to 18-month mortality. Furthermore, outpatient GEM had significantly trivial effects on nursing-home admission during the follow-up period of 12 or 24 months (RR = 0.91, 95% CI = 0.74-1.12, I2 = 0%). CONCLUSIONS: Outpatient GEM led by a geriatrician with a multidisciplinary team improved overall survival, specifically during the 24-month follow-up period. This trivial effect was demonstrated in rates of nursing-home admission. Future research on outpatient GEM involving a larger cohort is warranted to corroborate our findings.

Ranking of Alzheimer's disease and related dementia among the leading causes of death in the US varies depending on NCHS or WHO definitions.

INTRODUCTION: We compared the ranking of Alzheimer's disease and related dementia (ADRD) among the leading causes of death (LCODs) between those according to the National Center for Health Statistics (NCHS) and the World Health Organization (WHO) lists by sex. METHOD: The number of deaths in each LCOD category was obtained from CDC WONDER. RESULTS: According to the WHO list, ADRD was the second LCOD from 2005 to 2013, the first from 2014 to 2020, and the third in 2021, respectively, for women and was the second in 2018 and 2019, the third in 2020, and the fourth in 2021, respectively, for men. According to the NCHS list, Alzheimer's disease was the fourth in 2019 and 2020 for women and was the seventh from 2016 to 2019 for men. DISCUSSION: The ranking of ADRD among the LCODs according to the WHO list was higher than those according to the NCHS list.

Fear of falling as a potential complication of Ramsay Hunt syndrome in older adults: a case report.

BACKGROUND: Fear of falling (FOF) is a common and major health concern in older adults. The consequences of FOF include reduced physical performance, social activity, and health-related quality of life. Ramsay Hunt syndrome (RHS) is a herpes zoster-related facial nerve dysfunction accompanied by an erythematous vesicular rash on the ear or mouth that may complicate ipsilateral facial paralysis and otalgia, vertigo, tinnitus, hearing loss, and meningoencephalitis. However, repeated falls and subsequent FOF due to RHS have not been reported in older adults. CASE PRESENTATION: A 65-year-old woman diagnosed with RHS experienced repeated falls during hospital admission and after discharge. Despite recovery of balance and no subsequent falls, the patient presented with persistent FOF at the geriatric outpatient follow-up visit 1 year after the RHS episode. The fear sensation impaired the patient's instrumental daily activities and was confirmed by documentation of serial comprehensive geriatric assessments, especially the Timed Up and Go test scores. CONCLUSIONS: RHS may cause repeated falls and FOF, leading to impairment in daily activities and psychosocial function in older adults. Therefore, clinicians should be mindful of falls and FOF when caring for older patients with RHS and should develop multidimensional strategies for fall prevention and FOF.

Higher reinfection rate after two-stage revision arthroplasty in patients with refractory diabetes mellitus: a retrospective analysis with a minimum ten-year follow up.

BACKGROUND: Treatment protocols for two-stage revision arthroplasty with diabetes mellitus (DM) have not yet been established. The control of glycated hemoglobin (HbA1c) in two-stage revision arthroplasty is still debated. This study aimed to clarify the importance of preoperative HbA1c levels before each stage of revision arthroplasty and to analyze the risk factors for reinfection. METHODS: Five hundred eighty-eight patients suffered from first-time PJI and was treated in our institute from January 1994 to December 2010 were reviewed. The mean follow-up time was 13.8 (range, 10.2-24.8) years. Patients underwent two-stage revision arthroplasty with DM at presentation were included. The endpoint of the study was reinfection of the revision arthroplasty. Demographic, survivorship, and surgical variables were also analyzed. RESULTS: Eighty-eight patients were identified and grouped by HbA1c level before the first stage surgery: Groups 1 and 2 had HbA1c levels < 7% and ≥ 7%, respectively. Reinfection was identified in 4.55% (2/44) and 18.18% (8/44) of the patients in Groups 1 and 2, respectively. Survivorship analysis revealed correction of the HbA1c before the final stage of revision arthroplasty as an independent factor (p < 0.001). The identified risks for reinfection were HbA1c levels ≥ 7% before final-stage surgery, ≥ 3 stages of revision arthroplasty, and extended-spectrum beta-lactamase (ESBL)-Escherichia coli PJI. CONCLUSION: The HbA1c level before the final stage of revision arthroplasty could affect staged revision arthroplasty outcomes. Therefore, the necessity of postponing the elective final-stage revision arthroplasty procedure for HbA1c control should be further investigated in the future.

Development and psychometric evaluation of the Physical Resilience Instrument for Older Adults (PRIFOR).

BACKGROUND: Physical resilience is known to minimize the adverse outcomes of health stressors for older people. However, validated instruments that assess physical resilience in older adults are rare. Therefore, we aimed to validate the Physical Resilience Instrument for Older Adults (PRIFOR) to fill the literature gap. METHODS: Content analysis with content validity was first carried out to generate relevant items assessing physical resilience for older adults, and 19 items were developed. Psychometric evaluation of the 19 items was then tested on 200 older adults (mean [SD] age = 76.4 [6.6] years; 51.0% women) for item properties, factor structure, item fit, internal consistency, criterion-related validity, and known-group validity. RESULTS: All 19 items had satisfactory item properties, as they were normally distributed (skewness = -1.03 to 0.38; kurtosis = -1.05 to 0.32). However, two items were removed due to substantial ceiling effects. The retained 17 items were embedded in three factors as suggested by the exploratory factor analysis (EFA) results. All items except one had satisfactory item fit statistics in Rasch model; thus, the unidimensionality was supported for the three factors on 16 items. The retained 16 items showed promising properties in known-group validity, criterion-related validity, and internal consistency (α = 0.94). CONCLUSIONS: The 16-item PRIFOR exhibits good psychometric properties. Using this instrument to measure physical resilience would be beneficial to identify factors that could protect older people from negative health consequence. With the use of the PRIFOR, intervention effects could also be evaluated. It is helpful to strengthen resilience and thereby facilitate successful aging.

Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms.

BACKGROUND: Early unplanned hospital readmissions are associated with increased harm to patients, increased medical costs, and negative hospital reputation. With the identification of at-risk patients, a crucial step toward improving care, appropriate interventions can be adopted to prevent readmission. This study aimed to build machine learning models to predict 14-day unplanned readmissions. METHODS: We conducted a retrospective cohort study on 37,091 consecutive hospitalized adult patients with 55,933 discharges between September 1, 2018, and August 31, 2019, in an 1193-bed university hospital. Patients who were aged < 20 years, were admitted for cancer-related treatment, participated in clinical trial, were discharged against medical advice, died during admission, or lived abroad were excluded. Predictors for analysis included 7 categories of variables extracted from hospital's medical record dataset. In total, four machine learning algorithms, namely logistic regression, random forest, extreme gradient boosting, and categorical boosting, were used to build classifiers for prediction. The performance of prediction models for 14-day unplanned readmission risk was evaluated using precision, recall, F1-score, area under the receiver operating characteristic curve (AUROC), and area under the precision-recall curve (AUPRC). RESULTS: In total, 24,722 patients were included for the analysis. The mean age of the cohort was 57.34 ± 18.13 years. The 14-day unplanned readmission rate was 1.22%. Among the 4 machine learning algorithms selected, Catboost had the best average performance in fivefold cross-validation (precision: 0.9377, recall: 0.5333, F1-score: 0.6780, AUROC: 0.9903, and AUPRC: 0.7515). After incorporating 21 most influential features in the Catboost model, its performance improved (precision: 0.9470, recall: 0.5600, F1-score: 0.7010, AUROC: 0.9909, and AUPRC: 0.7711). CONCLUSIONS: Our models reliably predicted 14-day unplanned readmissions and were explainable. They can be used to identify patients with a high risk of unplanned readmission based on influential features, particularly features related to diagnoses. The operation of the models with physiological indicators also corresponded to clinical experience and literature. Identifying patients at high risk with these models can enable early discharge planning and transitional care to prevent readmissions. Further studies should include additional features that may enable further sensitivity in identifying patients at a risk of early unplanned readmissions.

Factors associated with early 14-day unplanned hospital readmission: a matched case-control study.

BACKGROUND/PURPOSE: Early unplanned hospital readmissions are burdensome health care events and indicate low care quality. Identifying at-risk patients enables timely intervention. This study identified predictors for 14-day unplanned readmission. METHODS: We conducted a retrospective, matched, case-control study between September 1, 2018, and August 31, 2019, in an 1193-bed university hospital. Adult patients aged ≥ 20 years and readmitted for the same or related diagnosis within 14 days of discharge after initial admission (index admission) were included as cases. Cases were 1:1 matched for the disease-related group at index admission, age, and discharge date to controls. Variables were extracted from the hospital's electronic health records. RESULTS: In total, 300 cases and 300 controls were analyzed. Six factors were independently associated with unplanned readmission within 14 days: previous admissions within 6 months (OR = 3.09; 95 % CI = 1.79-5.34, p < 0.001), number of diagnoses in the past year (OR = 1.07; 95 % CI = 1.01-1.13, p = 0.019), Malnutrition Universal Screening Tool score (OR = 1.46; 95 % CI = 1.04-2.05, p = 0.03), systolic blood pressure (OR = 0.98; 95 % CI = 0.97-0.99, p = 0.01) and ear temperature within 24 h before discharge (OR = 2.49; 95 % CI = 1.34-4.64, p = 0.004), and discharge with a nasogastric tube (OR = 0.13; 95 % CI = 0.03-0.60, p = 0.009). CONCLUSIONS: Factors presented at admission (frequent prior hospitalizations, multimorbidity, and malnutrition) along with factors presented at discharge (clinical instability and the absence of a nasogastric tube) were associated with increased risk of early 14-day unplanned readmission.

Prevalence and related factors of do-not-resuscitate directives among nursing home residents in Taiwan.

OBJECTIVES: To report the prevalence of Do-Not-Resuscitate (DNR) directives and to explore the factors associated with the presence of DNR directives among nursing home residents in Taiwan. DESIGN: A cross-sectional, correlation study. SETTING: Seven nursing homes in southern Taiwan. PARTICIPANTS: Nursing home residents and their family surrogates. MEASUREMENTS: Data were collected using chart abstraction and a questionnaire survey. We used multivariate logistic regression to analyze the associations between resident, family surrogate, and facility characteristics and the presence of DNR directives. RESULTS: Among the 201 nursing home residents, 33 (16.4%) had DNR directives and 91% of the directives had been put in place by family surrogates. Our data revealed that resident's age (OR = 1.06, 95% CI = 1.01-1.12), cognitive function score (OR = 0.91, 95% CI = 0.85-0.97), prior DNR discussion between physician and family surrogate (OR = 4.09, 95% CI = 1.53-10.96), and nursing home with DNR policy (OR = 17.71, 95% CI = 5.87-53.46) were independently and associated with the presence of a DNR directive. CONCLUSIONS: The prevalence of DNR directives among Taiwanese nursing home residents was lower than that in other countries. Our results point out the lack of DNR policy in most Taiwanese nursing homes and highlight the need for policy makers to implement further regulations. Meanwhile, education about advance directives is warranted to increase public and professional awareness and to facilitate empowerment of the increasing number of frail elderly nursing home residents in Taiwan.