STUDY DESIGN: A prospective study using data from the Australian Longitudinal Study on Women's Health. Women aged 77-82 years in 2003, and 91-96 years in 2017 were analysed, linking the Pharmaceutical Benefits Scheme data to participants' survey data.
MAIN OUTCOME MEASURES: The association between frailty and continuous polypharmacy was determined using generalised estimating equations for log binomial regressions, controlling for confounding variables. Descriptive statistics were used to determine the proportion of women with polypharmacy, and medications that contributed to polypharmacy.
RESULTS: The proportion of women with continuous polypharmacy increased over time as they aged. Among participants who were frail (n = 833) in 2017, 35.9 % had continuous polypharmacy and 1.32 % had hyperpolypharmacy. Among those who were non-frail (n = 1966), 28.2 % had continuous polypharmacy, and 1.42 % had hyperpolypharmacy. Analgesics (e.g. paracetamol) and cardiovascular medications (e.g. furosemide and statins) commonly contributed to continuous polypharmacy among frail and non-frail women. Accounting for time and other characteristics, frail women had an 8% increased risk of continuous polypharmacy (RR 1.08; 95 % CI 1.05, 1.11) compared to non-frail women.
CONCLUSIONS: Combined, polypharmacy and frailty are key clinical and public health challenges. Given that one-third of women had continuous polypharmacy, monitoring and review of medication use among older women are important, and particularly among women who are frail.
AIMS: This study determined the use of potentially inappropriate medications according to frailty status using the Beers Criteria 2019, identified medications that should be flagged as potentially inappropriate and harmful depending on individual health factors, and determined the association between frailty and PIMs, adjusted for characteristics associated with PIMs.
METHODS: This prospective longitudinal study included 9355 participants aged 77-82 years at baseline (2003). Frailty was measured using the FRAIL (fatigue, resistance, ambulation, illness and loss of weight) scale. Generalised estimating equations using log-binomial regressions determined the association between frailty and risk of using PIMs.
RESULTS: Among participants who were frail and non-frail at baseline, the majority used ≥ 3 PIMs (74.2% and 58.5%, respectively). At 2017, the proportion using ≥ 3 PIMs remained constant in the frail group (72.0%) but increased in the non-frail group (66.0%). Commonly prescribed medications that may be potentially inappropriate in both groups included benzodiazepines, proton-pump inhibitors and non-steroidal anti-inflammatory drugs, and risperidone was an additional contributor in the non-frail group. When adjusted for other characteristics, frail women had a 2% higher risk of using PIMs (RR 1.02; 95% CI 1.01, 1.03).
CONCLUSION: Given that the majority of frail women were using medications that may have been potentially inappropriate, it is important to consider both frailty and PIMs as indicators of health outcomes, and to review the need for PIMs for women aged 77-96 years who are frail.
METHODS: The study included 9139 female participants enrolled in the Australian Longitudinal Study on Women's Health from 2003 (aged 77-82 years) to 2017 (aged 91-96 years). Generalized estimating equations (GEEs) using log-binomial regressions were used to determine associations using repeated measures on individuals over time.
KEY FINDINGS: The majority of participants in the study remained non-frail and did not receive HMRs from 2003 [7116 (77.86%)] to 2017 [1240 (71.31%)]. The use of HMRs was low in both groups with 33 (1.68%; 95% CI, 1.16 to 2.36) frail and 64 (0.89%; 95% CI, 0.69 to 1.14) non-frail participants receiving HMRs in 2003; by 2017, 19 (4.19%; 95% CI, 2.54 to 6.46) frail and 45 (3.50%; 95% CI, 2.57 to 4.66) non-frail participants received HMRs. Frailty was not associated with receiving a HMR (RR 1.06; 95% CI, 0.95 to 1.20), although for every 1-year increase, participants were 10% more likely to receive a HMR (RR 1.10; 95% CI, 1.09 to 1.11). Participants with continuous polypharmacy, ≥4 chronic diseases, >4 general practitioner visits and Department of Veterans Affairs coverage were more likely to receive a HMR.
CONCLUSIONS: Despite the proven value of HMRs for frail older people, HMRs were not used for most frail and non-frail community-dwelling women in this study. Reasons for low use of the service should be explored, with interventions to raise awareness of the benefits of the service.
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.
AIMS: This study aimed to determine common combinations of medications used among women aged 77-96 years and to describe characteristics associated with these combinations.
METHODS: A cohort study of older women enroled in the Australian Longitudinal Study on Women's Health over a 15-year period was used to determine combinations of medications using latent class analysis. Multinomial logistic regression was used to determine characteristics associated with these combinations.
RESULTS: The highest medication users during the study were for the cardiovascular (2003: 80.28%; 2017: 85.63%) and nervous (2003: 66.03%; 2017: 75.41%) systems. A 3-class latent model described medication use combinations: class 1: 'Cardiovascular & neurology anatomical group' (27.25%) included participants using medications of the cardiovascular and nervous systems in their later years; class 2: 'Multiple anatomical group' (16.49%) and class 3: 'Antiinfectives & multiple anatomical group' (56.27%). When compared to the reference class (class 1), the risk of participants being in class 3 was slightly higher than being in class 2 if they had > 4 general practitioner visits (RRR 2.37; 95% CI 2.08, 2.71), Department of Veterans Affairs' coverage (RRR 1.59; 95% CI 1.36, 1.86), ≥ 4 chronic diseases (RRR 3.16; 95% CI 2.56, 3.90) and were frail (RRR 1.47; 95% CI 1.27, 1.69).
CONCLUSION: Identification of combinations of medication use may provide opportunities to develop multimorbidity guidelines and target medication reviews, and may help reduce medication load for older individuals.
METHODS: This cross-sectional study was conducted on 500 systematically sampled pharmacy students from two private and one public university. A validated, self-administered questionnaire comprised of seven sections was used to gather the data. A systematic sampling was applied to recruit the students. Both descriptive and inferential statistics were applied using SPSS® version 18.
RESULTS: Overall, the students tend to disagree that complementary therapies (CM) are a threat to public health (mean score = 3.6) and agreed that CMs include ideas and methods from which conventional medicine could benefit (mean score = 4.7). More than half (57.8%) of the participants were currently using CAM while 77.6% had used it previously. Among the current CAM modalities used by the students, CM (21.9%) was found to be the most frequently used CAM followed by Traditional Chinese Medicine (TCM) (21%). Most of the students (74.8%) believed that lack of scientific evidence is one of the most important barriers obstructing them to use CAM. More than half of the students perceived TCM (62.8%) and music therapy (53.8%) to be effective. Majority of them (69.3%) asserted that CAM knowledge is necessary to be a well-rounded professional.
CONCLUSIONS: This study reveals a high-percentage of pharmacy students who were using or had previously used at least one type of CAM. Students of higher professional years tend to agree that CMs include ideas and methods from which conventional medicine could benefit.