Effects of an Exercise Program to Reduce Falls in Older People Living in Long-Term Care: A Randomized Controlled Trial.

OBJECTIVES: To investigate the effect of an exercise program on falls in intermediate and high-level long-term care (LTC) residents and to determine whether adherence, physical capacity, and cognition modified outcomes. DESIGN: Randomized controlled trial. SETTING AND PARTICIPANTS: Residents (n = 520, aged 84 ± 8 years) from 25 LTC facilities in New Zealand. METHODS: Individually randomized to Staying UpRight, a physical therapist-led, balance and strength group exercise program delivered for 1 hour, twice weekly over 12 months. The control arm was dose-matched and used seated activities with no resistance. Falls were collected using routinely collected incident reports. RESULTS: Baseline fall rates were 4.1 and 3.3 falls per person-year (ppy) for intervention and control groups. Fall rates over the trial period were 4.1 and 4.3 falls ppy respectively [P = .89, incidence rate ratio (IRR) 0.98, 95% CI 0.76, 1.27]. Over the 12-month trial period, 74% fell, with 63% of intervention and 61% of the control group falling more than once. Risk of falls (P = .56, hazard ratio 1.08, 95% CI 0.85, 1.36) and repeat falling or fallers sustaining an injury at trial completion were similar between groups. Fall rates per 100 hours walked did not differ between groups (P = .42, IRR 1.15, 95% CI 0.81, 1.63). Program delivery was suspended several times because of COVID-19, reducing average attendance to 26 hours over 12 months. Subgroup analyses of falls outcomes for those with the highest attendance (≥50% of classes), better physical capacity (Short Physical Performance Battery scores ≥8/12), or cognition (Montreal Cognitive Assessment scores ≥ 18/30) showed no significant impact of the program. CONCLUSIONS/IMPLICATIONS: In intermediate and high-level care residents, the Staying UpRight program did not reduce fall rates or risk compared with a control activity, independent of age, sex, or care level. Inadequate exercise dose because of COVID-19-related interruptions to intervention delivery likely contributed to the null result.

Process evaluation of the Safer Prescribing and Care for the Elderly (SPACE) cluster randomised controlled trial in New Zealand general practice.

Introduction The Safer Prescribing and Care for the Elderly (SPACE) cluster randomised controlled trial in 39 general practices found that a search of the practice database to identify and generate for each general practitioner (GP) a list of patients with high-risk prescribing, pharmacist-delivered one-on-one feedback to GPs, and electronic tick-box for GPs to select action for each patient (Patient letter; No letter but possible medication review when patient next in; No action), prompted safer prescribing at 6 months but not at 1 year. Aim This process evaluation explores research participation, intervention uptake and effect on GPs. Methods Mixed methods were used including quantitative data (log of practice recruitment, demographic data, intervention delivery and GP responses including tick-box selections) and qualitative data (trial pharmacist reflective journal). Data were analysed using descriptive statistics and general inductive analysis, respectively. Results Recruitment of general practices was challenging, with only 39% of eligible practices agreeing to participate. Those who declined were often 'too busy'. Engagement was also challenging, especially in larger practices, with the trial pharmacist managing to meet with only 64% of GPs in the intervention group. The GPs who did engage were positive about the intervention, but elected to send letters to only 23% of patients with high-risk prescribing, either because the high-risk prescribing had already stopped, the GP did not agree the prescribing was 'high-risk' or the GP was concerned a letter would upset the patient. Conclusions Effectiveness of the SPACE cluster randomised controlled trial could be improved by changes including ensuring searches are current and relevant, repeating cycles of search and feedback, and integrating pharmacists into general practices.

Modifiable Risk Factors and Change in Cognition of Maori and Non-Maori in Advanced Age: LiLACS NZ.

OBJECTIVE: This study investigated whether previously identified modifiable risk factors for dementia were associated with cognitive change in Maori (indigenous people of New Zealand) and non-Maori octogenarians of LiLACS NZ (Life and Living in Advanced Age; a Cohort Study in New Zealand), a longitudinal study. METHOD: Multivariable repeated-measure mixed effect regression models were used to assess the association between modifiable risk factors and sociodemographic variables at baseline, and cognitive change over 6 years, with p values of <.05 regarded as statistically significant. RESULTS: Modifiable factors associated with cognitive change differed between ethnic groups. Depression was a negative factor in Maori only, secondary education in non-Maori was protective, and obesity predicted better cognition over time for Maori. Diabetes was associated with decreased cognition for both Maori and non-Maori. CONCLUSION: Our results begin to address gaps in the literature and increase understanding of disparities in dementia risk by ethnicity. These findings have implications for evaluating the type and application of culturally appropriate methods to improve cognition.

Safer Prescribing and Care for the Elderly (SPACE): a cluster randomised controlled trial in general practice.

BACKGROUND: Safer prescribing in general practice may help to decrease preventable adverse drug events (ADE) and related hospitalisations. AIM: To test the effect of the Safer Prescribing and Care for the Elderly (SPACE) intervention on high-risk prescribing of non-steroidal anti-inflammatory drugs (NSAIDs) and/or antiplatelet medicines and related hospitalisations. DESIGN & SETTING: A pragmatic cluster randomised controlled trial in general practice. Participants were patients at increased risk of ADEs from NSAIDs and/or antiplatelet medicines at baseline. SPACE comprises automated search to generate for each GP a list of patients with high-risk prescribing; pharmacist outreach to provide education and one-on-one review of list with GP; and automated letter inviting patients to seek medication review with their GP. METHOD: The primary outcome was the difference in high-risk prescribing of NSAIDs and/or antiplatelet medicines at 6 months. Secondary outcomes were high-risk prescribing for gastrointestinal, renal, or cardiac ADEs separately, 12-month outcomes, and related ADE hospitalisations. RESULTS: Thirty-nine practices were recruited with 205 GPs and 191 593 patients, of which 21 877 (11.4%) were participants. Of the participants, 1479 (6.8%) had high-risk prescribing. High-risk prescribing improved in both groups at 6 and 12 months compared with baseline. At 6 months, there was no significant difference between groups (odds ratio [OR] 0.99; 95% confidence intervals [CI] = 0.87 to 1.13) although SPACE improved more for gastrointestinal ADEs (OR 0.81; 95% CI = 0.68 to 0.96). At 12 months, the control group improved more (OR 1.29; 95% CI = 1.11 to 1.49). There was no significant difference for related hospitalisations. CONCLUSION: Further work is needed to identify scalable interventions that support safer prescribing in general practice. The use of automated search and feedback plus letter to patient warrants further exploration.

Costs of inpatient hospitalisations in the last year of life in older New Zealanders: a cohort study.

BACKGROUND: Rapidly ageing populations means that many people now die in advanced age. This paper investigated public hospital and long-term care home costs in the 12 months before death in Maori and non-Maori of advanced age in New Zealand. METHODS: Data from an existing longitudinal study (LiLACS NZ) was used, in which 937 older New Zealanders were enrolled in 2010. At the time of this study, 213 Maori and 241 non-Maori in the cohort had died. National Health Index numbers were linked to the hospitalisation National Minimum Dataset to ascertain public hospitalisation and care home costs in the last year of life. RESULTS: The average total publicly funded hospital and long-term care home costs in the 12 months prior to death were $16,211 and $17,351 for Maori and non-Maori respectively. Non-Maori tended to have long lengths of stay in their last year of life, and non-Maori men had the highest proportion with high costs and long lengths of stay in care homes. Costs in the last year of life were 8.1 times higher in comparison to costs for individuals who did not die in the same time period. CONCLUSION: Despite New Zealand's commitment to providing an equitable level of healthcare, this study illustrated that ethnic and gender disparities are still apparent at the end of life. This raises questions as to whether money at the end of life is being spent appropriately, and how it could potentially be more equitably targeted to meet the diverse needs of older people and their families.

Association between dietary protein intake and change in grip strength over time among adults of advanced age: Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ).

OBJECTIVE: To determine the association between dietary protein intake and change in grip strength (GS) over time among Maori and non-Maori of advanced age. METHODS: Protein intake was estimated from 2×24h multiple pass recall (MPR) in 554 participants, and GS was measured yearly over five years. Anthropometric, physical activity and health data were collected. RESULTS: The median weight-adjusted protein intake was low (for Maori and non-Maori men 1.05 and 0.98g/kg/day; for Maori and non-Maori women 0.87 and 0.91g/kg/day, respectively). There was a general decrease in GS over five years (mean % change of -2.38 ± 15.32 and -4.49 ± 21.92 for Maori and non-Maori women and -5.47 ± 16.09 and -1.81 ± 13.16 for Maori and non-Maori men yearly). Intake of protein was not related to GS at any of the five-year assessment points nor was it related to change over time. CONCLUSION: Protein intake was low in this cohort of octogenarians and was not protective against loss of GS over five years.

Predictive factors for entry to long-term residential care in octogenarian Maori and non-Maori in New Zealand, LiLACS NZ cohort.

BACKGROUND: Long-term residential care (LTC) supports the most vulnerable and is increasingly relevant with demographic ageing. This study aims to describe entry to LTC and identify predictive factors for older Maori (indigenous people of New Zealand) and non-Maori. METHODS: LiLACS-NZ cohort project recruited Maori and non-Maori octogenarians resident in a defined geographical area in 2010. This study used multivariable log-binomial regressions to assess factors associated with subsequent entry to LTC including: self-identified ethnicity, demographic characteristics, self-rated health, depressive symptoms and activities of daily living [ADL] as recorded at baseline. LTC entry was identified from: place of residence at LiLACS-NZ interviews, LTC subsidy, needs assessment conducted in LTC, hospital discharge to LTC, and place of death. RESULTS: Of 937 surveyed at baseline (421 Maori, 516 non-Maori), 77 already in LTC were excluded, leaving 860 participants (mean age 82.6 +/- 2.71 years Maori, 84.6 +/- 0.52 years non-Maori). Over a mean follow-up of 4.9 years, 278 (41% of non-Maori, 22% of Maori) entered LTC; of the 582 who did not, 323 (55%) were still living and may yet enter LTC. In a model including both Maori and non-Maori, independent risks factors for LTC entry were: living alone (RR = 1.52, 95%CI:1.15-2.02), self-rated health poor/fair compared to very good/excellent (RR = 1.40, 95%CI:1.12-1.77), depressive symptoms (RR = 1.28, 95%CI:1.05-1.56) and more dependent ADLs (RR = 1.09, 95%CI:1.05-1.13). For non-Maori compared to Maori the RR was 1.77 (95%CI:1.39-2.23). In a Maori-only model, predictive factors were older age and living alone. For non-Maori, factors were dependence in more ADLs and poor/fair self-rated health. CONCLUSIONS: Non-Maori participants (predominantly European) entered LTC at almost twice the rate of Maori. Factors differed between Maori and non-Maori. Potentially, the needs, preferences, expectations and/or values may differ correspondingly. Research with different cultural/ethnic groups is required to determine how these differences should inform service development.

Dietary Protein Intake and Determinants in Maori and Non-Maori Octogenarians. Te Puawaitanga o Nga Tapuwae Kia Ora Tonu: Life and Living in Advanced Age: A Cohort Study in New Zealand.

Protein intake, food sources and distribution are important in preventing age-related loss of muscle mass and strength. The prevalence and determinants of low protein intake, food sources and mealtime distribution were examined in 214 Maori and 360 non-Maori of advanced age using two 24 h multiple pass recalls. The contribution of food groups to protein intake was assessed. Low protein intake was defined as ≤0.75 g/kg for women and ≤0.86 g/kg for men. A logistic regression model was built to explore predictors of low protein intake. A third of both women (30.9%) and men (33.3%) had a low protein intake. The main food group sources were beef/veal, fish/seafood, milk, bread though they differed by gender and ethnicity. For women and men respectively protein intake (g/meal) was lowest at breakfast (10.1 and 13.0), followed by lunch (14.5 and 17.8) and dinner (23.3 and 34.2). Being a woman (p = 0.003) and having depressive symptoms (p = 0.029) were associated with consuming less protein. In adjusted models the odds of adequate protein intake were higher in participants with their own teeth or partial dentures (p = 0.036). Findings highlight the prevalence of low protein intake, uneven mealtime protein distribution and importance of dentition for adequate protein intake among adults in advanced age.

Cell phone and technology use by octogenarians.

INTRODUCTION Many countries, including New Zealand, have an aging population and new technologies such as cell phones may be useful for older people. AIM To examine cell phone and technology use by octogenarians. METHODS Te Puawaitanga O Nga Tapuwae Kia Ora Tonu- Life and Living in Advanced Age: A Cohort Study In New Zealand (LILACs NZ) cohort study data of Maori (aged 80-90 years, 11-year age band) and non-Maori (aged 85 years, 1-year age band) followed for 3 years was used to describe the prevalence among study participants of the use of the internet, cell phones and watching pay-per-view television. Association of these activities with living arrangement, congestive heart failure, chronic obstructive respiratory disease and participants' cognition were examined. RESULTS Technology use was relatively low among study octogenarians. Fewer Maori used cell phones and the internet (16% and 6%) than non-Maori (30% and 19%). Maori participants supported only by a pension were less likely to use cell phones than Maori with more income. More men watched pay-per-view television (e.g. SKY) than women. Living alone and having chronic lung disease were associated with not watching pay-per-view television. Participants who used the internet had higher cognition scores than others. Non-Maori women were less likely to watch pay-per-view television and non-Maori on a pension only were less likely to watch pay-per-view television than people on a higher income. Participants who lived alone were less likely to watch pay-per-view. CONCLUSION Relatively low use of technology may limit potential for health technology innovation for people of advanced age. Socioeconomic and ethnic disparities will amplify this.

Self-reported sleep problems and their relationship to life and living of Maori and non-Maori in advanced age.

OBJECTIVE: Life expectancy is increasing. Sleep problems are more likely with advancing age however, are largely overlooked, and the longitudinal health impact of reported sleep problems is unclear. In this study, relationships were examined between reporting prior or current sleep problems with health outcomes, among Maori and non-Maori of advanced age. METHOD: Data were available from 251 Maori and 398 non-Maori adults (79-90 years) from Wave 1 (W1) of Te Puawaitanga o Nga Tapuwae Kia Ora Tonu. Life and Living in Advanced Age: A Cohort Study in NZ (LiLACS NZ). Four years later (W5), data were available from 85 Maori and 200 non-Maori participants. Relationships between reporting problem sleep at W1 and cohort and health outcomes at W5 were investigated using generalised linear models and Cox proportional hazards models. RESULTS: Over 25% reported sleep problems at both waves. Mortality was associated with problem sleep for Maori but not non-Maori. Within the whole group, W1 problem sleepers were more likely to still have problems at W5, compared with nonproblem sleepers at W1. They also had poorer indicators of physical health and pain at W5. Problem sleepers at W5 had poorer concurrent mental health and increased likelihood of hospital admittance in the last year. CONCLUSION: Sleep health is an important characteristic of ageing well, particularly for Maori. Early recognition and management of sleep problems could improve physical and mental health with advancing age.

Gait, cognition and falls over 5 years, and motoric cognitive risk in New Zealand octogenarians: Te Puawaitanga o Nga Tapuwae Kia Ora Tonu, LiLACS NZ.

BACKGROUND: Understanding falls risk in advanced age is critical with people over 80 a rapidly growing demographic. Slow gait and cognitive complaint are established risk factors and together comprise the Motoric Cognitive Risk Syndrome (MCR). This study examined trajectories of gait and cognition and their association with falls over 5 years, and documented MCR in Maori and non-Maori of advanced age living in New Zealand. METHOD: Falls frequency was ascertained retrospectively at annual assessments. 3 m gait speed was measured and cognition was assessed using the Modified Mini-Mental Status Examination (3MS). Frequency of MCR was reported. Gait and cognition trajectories were modelled and clusters identified from Latent Class Analysis. Generalised linear models examined association between changes in gait, cognition, MCR and falls. RESULTS: At baseline, 138 of 408 Maori (34%) and 205 of 512 non-Maori (40%) had fallen. Mean (SD) gait speed (m/s) for Maori was 0.66 (0.29) and 0.82 (0.26) for non-Maori. Respective 3MS scores were 86.2 (15.6) and 91.6 (10.4). Ten (4.3%) Maori participants met MCR criteria, compared with 7 (1.9%) non-Maori participants. Maori men were more likely to fall (OR 1.56; 95% CI 1.0-2.43 (P = 0.04) whilst for non-Maori slow gait increased falls risk (OR 0.40; 95% CI 0.24-0.68(P < 0.001). Non-Maori with MCR were more than twice as likely to fall than those without MCR (OR 2.45; 95% CI 1.06-5.68 (P = 0.03). CONCLUSIONS: Maori and non-Maori of advanced age show a mostly stable pattern of gait and cognition over time. Risk factors for falls differ for Maori, and do not include gait and cognition.

Does potentially inappropriate prescribing predict an increased risk of admission to hospital and mortality? A longitudinal study of the 'oldest old'.

BACKGROUND: Potentially inappropriate prescribing (PIP) is associated with negative health outcomes, including hospitalisation and mortality. Life and Living in Advanced Age: a Cohort Study in New Zealand (LiLACS NZ) is a longitudinal study of Maori (the indigenous population of New Zealand) and non-Maori octogenarians. Health disparities between indigenous and non-indigenous populations are prevalent internationally and engagement of indigenous populations in health research is necessary to understand and address these disparities. Using LiLACS NZ data, this study reports the association of PIP with hospitalisations and mortality prospectively over 36-months follow-up. METHODS: PIP, from pharmacist applied criteria, was reported as potentially inappropriate medicines (PIMs) and potential prescribing omissions (PPOs). The association between PIP and hospitalisations (all-cause, cardiovascular disease-specific and ambulatory-sensitive) and mortality was determined throughout a series of 12-month follow-ups using binary logistic (hospitalisations) and Cox (mortality) regression analysis, reported as odds ratios (ORs) and hazard ratios (HRs), respectively, and the corresponding confidence intervals (CIs). RESULTS: Full demographic data were obtained for 267 Maori and 404 non-Maori at baseline, 178 Maori and 332 non-Maori at 12-months, and 122 Maori and 281 non-Maori at 24-months. The prevalence of any PIP (i.e. ≥1 PIM and/or PPO) was 66, 75 and 72% for Maori at baseline, 12-months and 24-months, respectively. In non-Maori, the prevalence of any PIP was 62, 71 and 73% at baseline, 12-months and 24-months, respectively. At each time-point, there were more PPOs than PIMs; at baseline Maori were exposed to a significantly greater proportion of PPOs compared to non-Maori (p = 0.02). In Maori: PPOs were associated with a 1.5-fold increase in hospitalisations and mortality. In non-Maori, PIMs were associated with a double risk of mortality. CONCLUSIONS: PIP was associated with an increased risk of hospitalisation and mortality in this cohort. Omissions appear more important for Maori in predicting hospitalisations, and PIMs were more important in non-Maori in predicting mortality. These results suggest understanding prescribing outcomes across and between population groups is needed and emphasises prescribing quality assessment is useful.

The Association Between Drug Burden Index (DBI) and Health-Related Outcomes: A Longitudinal Study of the 'Oldest Old' (LiLACS NZ).

BACKGROUND: The prescribing of medications with anticholinergic and/or sedative properties is considered potentially inappropriate in older people (due to their side-effect profile), and the Drug Burden Index (DBI) is an evidence-based tool which measures exposure to these medications. Life and Living in Advanced Age: a Cohort Study in New Zealand (LiLACS NZ) is an ongoing longitudinal study investigating the determinants of healthy ageing. Using data from LiLACS NZ, this study aimed to determine whether a higher DBI was associated with poorer outcomes (hospitalisation, falls, mortality and cognitive function and functional status) over 36 months follow-up. METHODS: LiLACS NZ consists of two cohorts: Maori (the indigenous population of New Zealand) aged ≥ 80 years and non-Maori aged 85 years at the time of enrolment. Data relating to regularly prescribed medications at baseline, 12 months and 24 months were used in this study. Medications with anticholinergic and/or sedative properties (i.e. medications with a DBI > 0) were identified using the Monthly Index of Medical Specialities (MIMS) medication formulary, New Zealand. DBI was calculated for everyone enrolled at each time point. The association between DBI at baseline and outcomes was evaluated throughout a series of 12-month follow-ups using negative binomial (hospitalisations and falls), Cox (mortality) and linear (cognitive function and functional status) regression analyses (significance p < 0.05). Regression models were adjusted for age, gender, general practitioner (GP) visits, socioeconomic deprivation, number of medicines prescribed and one of the following: prior hospitalisation, history of falls, baseline cognitive function [Modified Mini-Mental State Examination (3MS)] or baseline functional status [Nottingham Extended Activities of Daily Living (NEADL)]. RESULTS: Full demographic data were obtained for 671, 510 and 403 individuals at baseline, 12 months and 24 months, respectively. Overall, 31%, 30% and 34% of individuals were prescribed a medication with a DBI > 0 at baseline, 12 months and 24 months, respectively. At baseline and 12 months, non-Maori had a greater mean DBI (0.28 ± 0.5 and 0.27 ± 0.5, respectively) compared to Maori (0.16 ± 0.3 and 0.18 ± 0.5, respectively). At baseline, the most commonly prescribed medicines with a DBI > 0 were zopiclone, doxazosin, amitriptyline and codeine. In Maori, a higher DBI was significantly associated with a greater risk of mortality: at 36 months follow-up, adjusted hazard ratio [95% confidence interval (CI)] 1.89 (1.11-3.20), p = 0.02. In non-Maori, a higher DBI was significantly associated with a greater risk of mortality [at 12 months follow-up, adjusted hazard ratio (95% CIs) 2.26 (1.09-4.70), p = 0.03] and impaired cognitive function [at 24 months follow-up, adjusted mean difference in 3MS score (95% CIs) 0.89 (- 3.89 to - 0.41), p = 0.02). CONCLUSIONS: Using data from LiLACS NZ, a higher DBI was significantly associated with a greater risk of mortality (in Maori and non-Maori) and impaired cognitive function (in non-Maori). This highlights the importance of employing strategies to manage the prescribing of medications with a DBI > 0 in older adults.

Evaluating the effects of an exercise program (Staying UpRight) for older adults in long-term care on rates of falls: study protocol for a randomised controlled trial.

BACKGROUND: Falls are two to four times more frequent amongst older adults living in long-term care (LTC) than community-dwelling older adults and have deleterious consequences. It is hypothesised that a progressive exercise program targeting balance and strength will reduce fall rates when compared to a seated exercise program and do so cost effectively. METHODS/DESIGN: This is a single blind, parallel-group, randomised controlled trial with blinded assessment of outcome and intention-to-treat analysis. LTC residents (age ≥ 65 years) will be recruited from LTC facilities in New Zealand. Participants (n = 528 total, with a 1:1 allocation ratio) will be randomly assigned to either a novel exercise program (Staying UpRight), comprising strength and balance exercises designed specifically for LTC and acceptable to people with dementia (intervention group), or a seated exercise program (control group). The intervention and control group classes will be delivered for 1 h twice weekly over 1 year. The primary outcome is rate of falls (per 1000 person years) within the intervention period. Secondary outcomes will be risk of falling (the proportion of fallers per group), fall rate relative to activity exposure, hospitalisation for fall-related injury, change in gait variability, volume and patterns of ambulatory activity and change in physical performance assessed at baseline and after 6 and 12 months. Cost-effectiveness will be examined using intervention and health service costs. The trial commenced recruitment on 30 November 2018. DISCUSSION: This study evaluates the efficacy and cost-effectiveness of a progressive strength and balance exercise program for aged care residents to reduce falls. The outcomes will aid development of evidenced-based exercise programmes for this vulnerable population. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12618001827224. Registered on 9 November 2018. Universal trial number U1111-1217-7148.

Caregiving, ethnicity and gender in Maori and non-Maori New Zealanders of advanced age: Findings from LiLACS NZ Kaiawhina (Love and Support) study.

OBJECTIVE: This study investigates sex and ethnicity in relationships of care using data from Wave 4 of LiLACS NZ, a longitudinal study of Maori and non-Maori New Zealanders of advanced age. METHODS: Informal primary carers for LiLACS NZ participants were interviewed about aspects of caregiving. Data were analysed by gender and ethnic group of the LiLACS NZ participant. RESULTS: Carers were mostly adult children or partners, and three-quarters of them were women. Maori and men received more hours of care with a higher estimated dollar value of care. Maori men received the most personal care and household assistance. Carer employment, self-rated health, quality of life and impact of caring did not significantly relate to the gender and ethnicity of care recipients. CONCLUSIONS: Gender and ethnicity are interwoven in caregiving and care receiving. Demographic differences and cultural expectations in both areas must be considered in policies for carer support.

Quality of prescribing predicts hospitalisation in octogenarians: life and living in advanced age: a cohort study in New Zealand (LiLACS NZ).

BACKGROUND: Prescribing for older people is complex, and many studies have highlighted that appropriate prescribing in this cohort is not always achieved. However, the long-term effect of inappropriate prescribing on outcomes such as hospitalisation and mortality has not been demonstrated. The aim of this study was to determine the level of potentially inappropriate prescribing (PIP) for participants of the Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ) study at baseline and examine the association between PIP and hospitalisation and mortality at 12-months follow-up. METHODS: PIP was determined using STOPP/START. STOPP identified potentially inappropriate medicines (PIMs) prescribed, START identified potential prescribing omissions (PPOs). STOPP/START were applied to all LiLACS NZ study participants, a longitudinal study of ageing, which includes 421 Maori aged 80-90 years and 516 non-Maori aged 85 years. Participants' details (e.g. age, sex, living arrangements, socioeconomic status, physical functioning, medical conditions) were gathered by trained interviewers. Some participants completed a core questionnaire only, which did not include medications details. Medical conditions were established from a combination of self-report, review of hospital discharge and general practitioner records. Binary logistic regression, controlled for multiple potential confounders, was conducted to determine if either PIMs or PPOs were associated with hospital admissions and mortality (p < 0.05 was considered significant). RESULTS: Full data were obtained for 267 Maori and 404 non-Maori. The mean age for Maori was 82.3(±2.6) years, and 84.6(±0.53) years for non-Maori. 247 potentially inappropriate medicines were identified, affecting 24.3% Maori and 28.0% non-Maori. PIMs were not associated with 12-month mortality or hospitalisation for either cohort (p > 0.05; adjusted models). 590 potential prescribing omissions were identified, affecting 58.1% Maori and 49.0% non-Maori. PPOs were associated with hospitalisation (p = 0.001 for Maori), but were not associated with risk of mortality (p > 0.05) for either cohort within the 12-month follow-up (adjusted models). CONCLUSION: PPOs were more common than PIMs and were associated with an increased risk of hospitalisation for Maori. This study highlights the importance of carefully considering all indicated medicines when deciding what to prescribe. Further follow-up is necessary to determine the long-term effects of PIP on mortality and hospitalisation.

Diagnostic accuracy of a global cognitive screen for Maori and non-Maori octogenarians.

INTRODUCTION: We assessed the sensitivity and specificity of the Modified Mini-Mental State Examination (3MS) in predicting dementia and cognitive impairment in Maori (indigenous people of New Zealand) and non-Maori octogenarians. METHODS: A subsample of participants from Life and Living in Advanced Age: a Cohort Study in New Zealand were recruited to determine the 3MS diagnostic accuracy compared with the reference standard. RESULTS: Seventy-three participants (44% Maori) completed the 3MS and reference standard assessments. The 3MS demonstrated strong diagnostic accuracy to detect dementia with areas under the curve of 0.87 for Maori and 0.9 for non-Maori. Our cutoffs displayed ethnic variability and are approximately 5 points greater than those commonly applied. Cognitive impairment yielded low accuracy, and discriminatory power was not established. DISCUSSION: Cutoffs that are not age or ethnically appropriate may compromise the accuracy of cognitive screens. Consequently, older age and indigeneity increase the risk of mislabeled cognitive status.

Safer Prescribing and Care for the Elderly (SPACE): a pilot study in general practice.

BACKGROUND: High-risk prescribing places patients at increased risk of adverse drug events (ADEs). High-risk prescribing and ADE hospitalisations are increasingly common as people are living longer and taking more medicines for multiple chronic conditions. The Safer Prescribing and Care for the Elderly (SPACE) intervention is designed to foster patient engagement in medicines management and prompt medicines review. AIM: To pilot the SPACE intervention in preparation for a larger cluster randomised controlled trial (RCT). DESIGN & SETTING: A pilot study in two general practices. Study participants were all patients at increased risk of an adverse drug reaction (ADE) from non-steroidal anti-inflammatory drugs (NSAIDs) and/or antiplatelet medicines. The primary outcome was the proportion of participants receiving high-risk prescribing at 6 months and 12 months compared with baseline. METHOD: The SPACE intervention comprised automated practice audit to identify and generate for each GP a list of patients with high-risk prescribing for these medicines; an outreach visit by clinical advisory pharmacist to deliver education and to go through with each GP their list of at-risk patients and indicate in a tick-box the intended action for each patient; and a mail-out from GPs to selected patients containing a medicines information brochure and a letter encouraging patients to discuss their medicines when they next see their GP. RESULTS: SPACE can be delivered within existing primary care infrastructure. The rate of high-risk prescribing was reduced at 6 months following the delivery of the intervention, but these improvements were not evident at 12 months. CONCLUSION: SPACE prompts medicines review and shows promising signs of supporting safer prescribing in general practice in the short term. A randomised trial of SPACE started in 2018.