OBJECTIVES: To review the literature on trials conducted among older adults residing in care homes within the UK and collate evidence on their methodological characteristics and outcomes.
METHODS: A systematic rapid review methodology was employed. MEDLINE, EMBASE and CENTRAL were searched in two incremental stages: stage 1 searched for oral health-related trials conducted within the UK care homes up to July 2021, whereas stage 2 sought for general health-related trials in the same setting from 2011 to 2021. The quality of included studies was assessed using Cochrane's RoB 2 and ROBINS-I tools. Findings were summarised descriptively.
RESULTS: Five oral health and 33 general health-related trials involving care home residents were included for analysis. The most common trial design was parallel group with two arms (n = 25) involving individual randomisation (n = 21). Consent was mainly obtained from residents and/or their proxies (n = 24), followed by residents only (n = 13) and care homes only (n = 1). Based on available data, the number needed to screen to recruit one participant ranged from 2 to 40 (median: 3; Q1-Q3: 2-9). Attrition rates ranged from 0% to 73% (median: 21%; Q1-Q3: 13%-32%) for follow-up periods between 1 and 52 weeks. The studies were of mixed methodological quality.
CONCLUSION: This rapid review outlines the methodological characteristics and outcomes of trials conducted among older adults in UK care homes. The findings of this review provide valuable information to assist in navigating and designing future research in this complex setting.
METHODS AND ANALYSIS: A systematic search will be conducted across nine electronic databases: PubMed, Scopus, EMBASE, Cochrane, PsycINFO, ERIC, CINAHL, China National Knowledge Infrastructure (CNKI), and Wanfang Data. The search will identify literature published in English and Chinese from January 2012 onwards. Articles will be selected based on their relevance to older adults aged ≥60 with disabilities or life-threatening chronic conditions receiving end-of-life care in nursing homes or similar settings. The data extraction process will be guided by the Canadian Hospice Palliative Care Association model (CHPCA) and the Respectful Death model. Qualitative data analysis will be performed using a framework method and thematic analysis, employing both inductive and deductive approaches, with three reviewers participating in the review process.
ETHICS AND DISSEMINATION: Ethical approval is not required because the data for this review is obtained from selected publicly available articles. The results will be disseminated through publications in peer-reviewed journals and presented at relevant conferences. Furthermore, the findings will be shared with policymakers and healthcare professionals engaged in end-of-life care to inform practice and decision making.
STUDY REGISTRATION: The review protocol has been registered on osf.io (https://osf.io/3u4mp).
METHOD: This was a retrospective cohort study of 9922 subsidised residents across 59 NHs in Singapore, with analysis using administrative healthcare data. Key measures included inpatient admission and emergency department visit rates, final discharge diagnoses and estimated costs. We examined correlates of inpatient admissions with a multivariable zero-inflated negative binomial regression model incorporating demogra-phics, institutional characteristics and Charlson Comorbidity Index.
RESULTS: There were 6620 inpatient admissions in 2015, equivalent to 2.23 admissions per 1000 resident days, and the majority were repeat admissions (4504 admissions or 68.0%). Male sex (incidence rate ratio [IRR] 1.23), approaching end-of-life (IRR 2.14), hospitalisations in the past year (IRR 2.73) and recent NH admission within the last 6 months (IRR 1.31-1.99) were significantly associated with inpatient admission rate. Top 5 discharge diagnoses were lower respiratory tract infections (27.3%), urinary tract infection (9.3%), sepsis (3.1%), cellulitis (1.9%) and gastroenteritis (1.1%). We estimated the total system cost of admissions of subsidised residents to be SGD40.2 million (USD29.1 million) in 2015.
CONCLUSION: We anticipate that unplanned hospitali-sation rate will increase over time, especially with an increasing number of residents who will be cared for in NHs. Our findings provide a baseline to inform stakeholders and develop strategies to address this growing problem.
OBJECTIVES: The current study aimed to assess the impact of medication reviews in aged care facilities, with additional focus on the types of medication reviews, using randomized controlled trials (RCTs) and observational studies.
METHODS: A systematic searching of English articles that examined the medication reviews conducted in aged care facilities was performed using the following databases: PubMed, CINAHL, IPA, TRiP, and the Cochrane Library, with the last update in December 2015. Extraction of articles and quality assessment of included articles were performed independently by 2 authors. Data on interventions and outcomes were extracted from the included studies. The SIGN checklist for observational studies and the Cochrane Collaboration's tool for assessing risk of bias in RCTs were applied. Outcomes assessed were related to medications, reviews, and adverse events.
RESULTS: Because of the heterogeneity of the measurements, it was deemed inappropriate to conduct a meta-analysis and thus a narrative approach was employed. Twenty-two studies (10 observational studies and 12 controlled trials) were included from 1141 evaluated references. Of the 12 trials, 8 studies reported findings of pharmacist-led medication reviews and 4 reported findings of multidisciplinary team-based reviews. The medication reviews performed in the included trials were prescription reviews (n = 8) and clinical medication reviews (n = 4). In the case of the observational studies, the majority of the studies (8/12 studies) reported findings of pharmacist-led medication reviews, and only 2 studies reported findings of multidisciplinary team-based reviews. Similarly, 6 studies employed prescription reviews, whereas 4 studies employed clinical medication reviews. The majority of the recommendations put forward by the pharmacist or a multidisciplinary team were accepted by physicians. The number of prescribed medications, inappropriate medications, and adverse outcomes (eg, number of deaths, frequency of hospitalizations) were reduced in the intervention group.
CONCLUSION: Medication reviews conducted by pharmacists, either working independently or with other health care professionals, appear to improve the quality of medication use in aged care settings. However, robust conclusions cannot be drawn because of significant heterogeneity in measurements and potential risk for biases.
METHODS: A total of 51 subjects qualified to take part in this quasi-experimental study. They were assigned to either the resistance exercise group (n = 26) or control group (n = 25). The mean age of the 45 participants who completed the program was 70.7 (SD = 6.6). The exercise group met twice per week and performing one to three sets of 8 to 10 repetitions for each of nine lower-limb elastic resistance exercises. All exercises were conducted at low to moderate intensities in sitting or standing positions. The subjects were tested at baseline and 6 and 12 weeks into the program.
RESULTS: The results showed statistically significant improvements in lower-limb muscle strength as measured by five times sit-to-stand test (%Δ = 22.6) and dynamic balance quantified by the timed up-and-go test (%Δ = 18.7), four-square step test (%Δ = 14.67), and step test for the right (%Δ = 18.36) and left (%Δ = 18.80) legs. No significant changes were observed in static balance as measured using the tandem stand test (%Δ = 3.25), and one-leg stand test with eyes opened (%Δ = 9.58) and eyes closed (%Δ = -0.61) after completion of the program.
CONCLUSION: The findings support the feasibility and efficacy of a simple and inexpensive resistance training program to improve lower-limb muscle strength and dynamic balance among the institutionalized older adults.
METHODS: We source daily death registry data for 4100 municipalities in Italy's north and match them to Census data. We augment the dataset with municipality-level data on a host of co-factors of COVID-19 mortality, which we exploit in a differences-in-differences regression model to analyze COVID-19-induced mortality.
RESULTS: We find that COVID-19 killed more than 0.15% of the local population during the first wave of the epidemic. We also show that official statistics vastly underreport this death toll, by about 60%. Next, we uncover the dramatic effects of the epidemic on nursing home residents in the outbreak epicenter: in municipalities with a high share of the elderly living in nursing homes, COVID-19 mortality was about twice as high as in those with no nursing home intown.
CONCLUSIONS: A pro-active approach in managing the epidemic is key to reduce COVID-19 mortality. Authorities should ramp-up testing capacity and increase contact-tracing abilities. Adequate protective equipment should be provided to nursing home residents and staff.
Materials and Methods: This study was conducted at various old age homes in the Klang Valley region of Malaysia involving the geriatric population aged 60 years and above. A detailed questionnaire consisting of sociodemographic data including sex, age, household income, and dental variables such as the number of teeth and chewing difficulty was obtained. The Tinetti test (TT) was used to evaluate the patients' ability to walk, to maintain postural balance, and to determine their risk of falling. The short version of the Geriatric Depression Scale was used to assess depression among the participants, and the Barthel Scale was used to analyze the subject's ability to perform the activities of daily living (ADL).
Results: Statistically significant association was observed in relation to the number of teeth present and risk of falls (p < 0.05). Subjects who had 19 teeth or less in total had moderate to highest risk of falls (p=0.001) in comparison with subjects who had 20 teeth or more. Those aged 70 years and above showed the highest risk of falls (p=0.001) in comparison with the subjects aged between 60 and 69 years. Subjects with depression (p=0.03) and presence of illness related to fall showed statistically significant difference (p=0.001) in comparison with those who did not suffer from the same. Compromised ADL (p=0.001) (which included ability to perform several tasks like indoor mobility, climbing stairs, toilet use, and feeding) and low monthly income (p=0.03) was also observed among subjects who had higher risk of falls.
Conclusion: According to the results achieved, there was a high statistically significant association observed between the number of teeth present, age, depression, ADL, and presence of illness in relation to the risk of falling among the geriatric population. Henceforth, oral rehabilitation of elderly patients with less number of teeth may reduce their risk of falls.
Methods: This cross-sectional study was conducted July-August 2018 in three regions in Indonesia. Adults aged 60 years and above (n=427) were recruited via random sampling from community clinics and public and private elderly homes. They responded to interview-administered questions and provided measurements on sociodemographics and various health variables, including falls and fall risk. Fall risk was assessed with the STEADI (Stopping Elderly Accidents, Deaths, & Injuries) screen. Multivariable logistic regression was conducted to estimate associations with fall and fall risk.
Results: In the year immediately preceding the study, 29.0% of participants had suffered a fall. Approximately one-third of women (31.1%) and one-fifth of men (20.4%) reported a fall in the past year, and 25.4% of community dwellers and 32.7% of institutionalized older adults had fallen. The overall proportion of fall risk was 45.4%, 49.0% among women, 38.0% among men, 50.5% in the institutionalized setting, and 40.4% in the community setting. In adjusted logistic regression analysis, older age (OR: 1.89, CI: 1.06, 3.37), private elderly home setting (OR:2.04, CI: 1.10, 3.78), and being female (OR: 0.49, CI: 0.30, 0.82) were associated with falls in the preceding 12 months. Older age (80-102 years) (OR: 2.55, CI: 1.46, 4.46), private elderly home residence (OR: 2.24, CI: 1.19, 4.21), lack of education (OR: 0.51, CI: 0.28, 0.93), memory problems (OR: 1.81, CI: 1.09, 2.99), and arthritis (OR: 2.97, CI: 1.26, 7.00) were associated with fall risk by the STEADI screen. In stratified analysis by setting, being female (OR: 0.49, CI: 0.25, 0.95) and living in urban areas (OR: 1.97, CI: 1.03, 3.76) were associated with falls in the institutionalized setting, and having near vision problems (OR: 2.32, CI: 1.09, 4.93) was associated with falls in the community setting. Older age (OR: 2.87, CI: 1.36, 6.07) was associated with fall risk in the institutionalized setting, and rural residence (OR: 0.37, CI: 0.15, 0.93) and having a joint disorder or arthritis (OR: 4.82, CI: 1.28, 16.61) were associated with fall risk in the community setting.
Conclusion: A high proportion of older adults in community and institutional care in Indonesia have fallen or were at risk of falling in the preceding 12 months. Health variables for fall and fall risk were identified for the population overall and for specific populations in the home care and community setting that could help in designing fall-prevention strategies.