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BACKGROUND: Hospital readmissions are costly for patients, their families and healthcare systems. Identifying and addressing risk factors can reduce the number of people who experience readmission. Few studies have explored modifiable risk factors such as health beliefs from patients' perspective to explore the complexity of risk factors for readmission. This study aimed to identify modifiable readmission risk factors from the perspectives of patients who have experienced readmission and their families. METHODS: Adults (≥18 years) readmitted within 30 days of discharge to a general medical or surgical ward at a large urban hospital in New Zealand were invited to participate in a semi-structured interview to explore their readmission experience. Interviews were conducted during the readmission and were analysed using inductive thematic analysis. RESULTS: A total of 30 participants were interviewed. Six themes relating to readmission were identified: inadequate communication between health professionals and patients, misalignment between patient illness perceptions and treatment, unclear or missing information, poor health literacy, poor medication mismanagement, and health system factors. CONCLUSIONS: These findings highlight the importance of considering patient experiences, such as their expectations, illness and treatment beliefs, to reduce readmissions. Ensuring communication is patient centred and quality professional-patient relationships could reduce readmissions.
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BACKGROUND: Persistent opioid use (POU) can occur with opioid use after surgery or trauma. Current systematic reviews include patients with previous exposure to opioids, meaning their findings may not be relevant to patients who are opioid naïve (i.e. Most recent exposure was from surgery or trauma). The aim of this review was to synthesise narratively the evidence relating to the incidence of, and risk factors for POU in opioid-naïve surgical or trauma patients. METHOD: Structured searches of Embase, Medline, CINAHL, Web of Science, and Scopus were conducted, with final search performed on the 17th of July 2023. Searches were limited to human participants to identify studies that assessed POU following hospital admission due to surgery or trauma. Search terms relating to 'opioid', 'analgesics', 'surgery', 'injury', 'trauma' and 'opioid-related disorder' were combined. The Newcastle-Ottawa Scale for cohort studies was used to assess the risk of bias for studies. RESULTS: In total, 22 studies (20 surgical and two trauma) were included in the analysis. Of these, 20 studies were conducted in the United States (US). The incidence of POU for surgical patients 18 and over ranged between 3.9% to 14.0%, and for those under 18, the incidence was 2.0%. In trauma studies, the incidence was 8.1% to 10.5% among patients 18 and over. Significant risk factors identified across surgical and trauma studies in opioid-naïve patients were: higher comorbidity burden, having pre-existing mental health or chronic pain disorders, increased length of hospital stay during the surgery/trauma event, or increased doses of opioid exposure after the surgical or trauma event. Significant heterogeneity of study design precluded meta-analysis. CONCLUSION: The quality of the studies was generally of good quality; however, most studies were of US origin and used medico-administrative data. Several risk factors for POU were consistently and independently associated with increased odds of POU, primarily for surgical patients. Awareness of these risk factors may help prescribers recognise the risk of POU after surgery or trauma, when considering continuing opioids after hospitalisation. The review found gaps in the literature on trauma patients, which represents an opportunity for future research. TRIAL REGISTRATION: PROSPERO registration: CRD42023397186.
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Analgésicos Opioides , Trastornos Relacionados con Opioides , Dolor Postoperatorio , Heridas y Lesiones , Humanos , Incidencia , Factores de Riesgo , Trastornos Relacionados con Opioides/epidemiología , Trastornos Relacionados con Opioides/etiología , Analgésicos Opioides/efectos adversos , Analgésicos Opioides/uso terapéutico , Dolor Postoperatorio/epidemiología , Dolor Postoperatorio/etiología , Dolor Postoperatorio/tratamiento farmacológico , Heridas y Lesiones/cirugía , Heridas y Lesiones/epidemiología , Heridas y Lesiones/etiología , Procedimientos Quirúrgicos Operativos/efectos adversosRESUMEN
Background: Reducing antimicrobial resistance (AMR) is a priority for public health. Inappropriate patient demand is an important driver of unnecessary antibiotic use. To develop an effective intervention to reduce inappropriate demand for antibiotics in upper respiratory tract infections (URTIs), it is important to identify patient perceptions that influence demand for, and appropriate use of antibiotics. Aim: To identify and describe the beliefs about antibiotics necessity and concerns that patients with URTIs have, in Riyadh, Saudi Arabia. Method: An exploratory qualitative approach was used. One-to-one, face-to-face or telephone semi-structured interviews were conducted with participants recruited using purposive sampling (based on age and gender) from primary healthcare centre in Riyadh, Saudi Arabia were conducted. Only adult patients who currently experience URTIs symptoms and agreed to participate were recruited. Recruitment for interviews continued until data saturation point was reached. The interview guide explored patients' necessity beliefs and concerns about antibiotics, AMR perceptions, and expectations from URTIs consultation. Interview transcripts were coded using QSR NVivo 12 using framework analysis informed by the Necessity-Concerns Framework to identify key motivations driving antibiotic requests and consultations. Results: the study interviewed 32 participants (44% were male, average age was 36.84). Results identified that the patients often relate their personal need for antibiotics when encountering an URTIs symptoms to the type, severity and duration of symptoms. Patients also linked antibiotics with quicker recovery, generally expressing few concerns about antibiotics mainly because of its short duration of use. However, some conveyed their concern about frequent administration of antibiotics and effect on the body's immune system function, which may make them more prone to infections in the future. Participants varied widely in their awareness of AMR; this was associated with many misconceptions, such as confusing AMR with antibiotics efficacy and tolerance. Interestingly, the interplay between necessity beliefs and concerns was observed to influence the decision to start and stop antibiotic, potentially impacting inappropriate antibiotic demand and unnecessary use. Conclusion: This study highlighted important beliefs and misconceptions about antibiotics and AMR in Saudi population which can be targeted in future interventions to reduce inappropriate demand for antibiotics and optimise appropriate usage.
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Introduction: Despite anti-inflammatory reliever (AIR) therapy now being the preferred treatment choice across all severities of asthma, many patients are still "attached" to their short-acting beta2-agonist (SABA) reliever, believing this to be the best way to control their asthma. To encourage individuals to switch to AIR, it is important to first identify the beliefs that patients hold about AIR. Objective: The aim of this paper was to describe the initial development and validation of the BMQ-AIR©, a six-item screening tool which assesses and identifies patients' treatment beliefs about switching to AIR therapy. Methods: Statements were identified from the primary literature that assessed patients' perceptions of AIR therapy and adapted from the Beliefs about Medicines Questionnaire (BMQ). Internal reliability was examined using Cronbach's alpha coefficient. Construct validity was evaluated by comparing scores on BMQ-AIR© with a validated measure of medication adherence and SABA beliefs. Results: A total of 446 participants completed the online survey. The BMQ-AIR© contained two subscales with three items each. Both the Necessity and Concerns subscales demonstrated good internal reliability, with Cronbach's α-values of 0.70 and 0.69, respectively. Both subscales were negatively correlated with self-report inhaled corticosteroid adherence (Necessity: r = -0.28, p < 0.0001; Concerns: r = -0.28, p < 0.0001) and positively correlated with SRQ scores (Necessity: r = 0.51, p < 0.0001; Concerns: r = 0.44, p < 0.0001). Conclusion: Preliminary findings indicate that BMQ-AIR© demonstrates satisfactory reliability and validity. BMQ-AIR© is a promising tool that may help tailor interventions to an individual's specific beliefs and barriers to switching to better support individuals in stopping SABA and initiating AIR therapy.
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BACKGROUND: Although excessive opioid use is a significant global health issue, there is a lack of literature on the prescribing patterns for postoperative opioid use and exposure after discharge among surgical patients. This study aimed to examine the rate and predictors of opioid dispensing and high opioid exposure after hospital discharge from surgery in New Zealand (NZ) between January 2007 to December 2019. METHODS: This is a retrospective population-based cohort study inclusive of all ages and surgical specialties. Data were obtained from the NZ Ministry of Health's national health databases. RESULTS: 1 781 059 patients were included in the study and 20.9% (n = 371 882) of surgical patients received opioids within 7 days after hospital discharge. From those who were dispensed with opioids after hospital discharge, 36.6% (n = 134 646) had high opioid exposure. Orthopaedic surgery (AOR 6.97; 95% CI 6.82-7.13) and history of opioid use (AOR 3.18; 95% CI 2.86-3.53) increased the odds of postoperative opioid dispensing and high opioid exposure respectively. Severe multi-morbidity burden (AOR 0.76; 95% CI 0.73-0.78) and alcohol misuse (AOR 0.84; 95% CI 0.77-0.93) lowered the odds of postoperative opioid dispensing and high opioid exposure respectively. CONCLUSIONS: Our findings suggest a concerning rate of high opioid exposure among surgical patients after discharge. The predictors for postoperative opioid dispensing and high opioid exposure identified in our study provide insight into opioid prescribing patterns in NZ and inform future postoperative pain management.
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Asthma, a common chronic respiratory disease among children and adults, affects more than 200 million people worldwide and causes about 450,000 deaths each year. Machine learning is increasingly applied in healthcare to assist health practitioners in decision-making. In asthma management, machine learning excels in performing well-defined tasks, such as diagnosis, prediction, medication, and management. However, there remain uncertainties about how machine learning can be applied to predict asthma exacerbation. This study aimed to systematically review recent applications of machine learning techniques in predicting the risk of asthma attacks to assist asthma control and management. A total of 860 studies were initially identified from five databases. After the screening and full-text review, 20 studies were selected for inclusion in this review. The review considered recent studies published from January 2010 to February 2023. The 20 studies used machine learning techniques to support future asthma risk prediction by using various data sources such as clinical, medical, biological, and socio-demographic data sources, as well as environmental and meteorological data. While some studies considered prediction as a category, other studies predicted the probability of exacerbation. Only a group of studies applied prediction windows. The paper proposes a conceptual model to summarise how machine learning and available data sources can be leveraged to produce effective models for the early detection of asthma attacks. The review also generated a list of data sources that other researchers may use in similar work. Furthermore, we present opportunities for further research and the limitations of the preceding studies.
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Asma , Aprendizaje Automático , Humanos , Asma/diagnóstico , Progresión de la Enfermedad , Medición de Riesgo/métodosRESUMEN
BACKGROUND: Indigenous communities often have poorer health outcomes and services under traditional models of care. In New Zealand, this holds true for Maori people who are tangata whenua (the indigenous people). Several barriers exist that decrease the likelihood of indigenous communities often have poorer health outcomes and poor service fit under traditional models of care, including access issues, systemic and provider racism, and a lack of culturally safe and responsive services. Web-based interventions (WBIs) have been shown to be effective in supporting mental health and well-being and can overcome some of these barriers. Despite the large number of WBIs developed, more investigation is needed to know how well WBIs fit with an indigenous worldview and how they meet the needs of indigenous communities so that a digitally based future does not drive social and health inequities. OBJECTIVE: This study aims to explore the goodness-of-fit of WBIs of Maori individuals, the indigenous people of Aotearoa/New Zealand. METHODS: We used interviews (n=3) and focus groups (n=5) with 30 Maori participants to explore their views about WBIs. Interviews were analyzed using reflexive thematic analysis by members of the research team. RESULTS: Overall, there was a perception that the design of WBIs did not align with the Maori worldview, which centers around people, relationships, spirituality, and holistic views of well-being. A total of 4 key themes and several subthemes emerged, indicating that WBIs were generally considered a poor fit for Maori. Specifically, the themes were as follows: (1) WBIs are disconnected from the core values of te ao Maori (the Maori worldview), (2) WBIs could be helpful in the right context, (3) there are significant barriers that may make it harder for Maori to use WBIs than other groups, and (4) ways to improve WBIs to help engagement with Maori. CONCLUSIONS: While WBIs are often considered a way to reduce barriers to care, they may not meet the needs of Maori when used as a stand-alone intervention. If WBIs are continued to be offered, developers and researchers need to consider how to develop WBIs that are responsive and engaging to the needs of indigenous communities rather than driving inequities. Ideally, WBIs should be developed by the people they are intended for to fit with those populations' world views.
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INTRODUCTION: Asthma attacks are a leading cause of morbidity and mortality but are preventable in most if detected and treated promptly. However, the changes that occur physiologically and behaviourally in the days and weeks preceding an attack are not always recognised, highlighting a potential role for technology. The aim of this study 'DIGIPREDICT' is to identify early digital markers of asthma attacks using sensors embedded in smart devices including watches and inhalers, and leverage health and environmental datasets and artificial intelligence, to develop a risk prediction model to provide an early, personalised warning of asthma attacks. METHODS AND ANALYSIS: A prospective sample of 300 people, 12 years or older, with a history of a moderate or severe asthma attack in the last 12 months will be recruited in New Zealand. Each participant will be given a smart watch (to assess physiological measures such as heart and respiratory rate), peak flow meter, smart inhaler (to assess adherence and inhalation) and a cough monitoring application to use regularly over 6 months with fortnightly questionnaires on asthma control and well-being. Data on sociodemographics, asthma control, lung function, dietary intake, medical history and technology acceptance will be collected at baseline and at 6 months. Asthma attacks will be measured by self-report and confirmed with clinical records. The collected data, along with environmental data on weather and air quality, will be analysed using machine learning to develop a risk prediction model for asthma attacks. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the New Zealand Health and Disability Ethics Committee (2023 FULL 13541). Enrolment began in August 2023. Results will be presented at local, national and international meetings, including dissemination via community groups, and submission for publication to peer-reviewed journals. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry ACTRN12623000764639; Australian New Zealand Clinical Trials Registry.
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Inteligencia Artificial , Asma , Adolescente , Adulto , Niño , Femenino , Humanos , Masculino , Nebulizadores y Vaporizadores , Nueva Zelanda , Estudios Observacionales como Asunto , Estudios ProspectivosRESUMEN
Previous studies report an association between maternal diabetes mellitus (MDM) and attention-deficit/hyperactivity disorder (ADHD), often overlooking unmeasured confounders such as shared genetics and environmental factors. We therefore conducted a multinational cohort study with linked mother-child pairs data in Hong Kong, New Zealand, Taiwan, Finland, Iceland, Norway and Sweden to evaluate associations between different MDM (any MDM, gestational diabetes mellitus (GDM) and pregestational diabetes mellitus (PGDM)) and ADHD using Cox proportional hazards regression. We included over 3.6 million mother-child pairs between 2001 and 2014 with follow-up until 2020. Children who were born to mothers with any type of diabetes during pregnancy had a higher risk of ADHD than unexposed children (pooled hazard ratio (HR) = 1.16, 95% confidence interval (CI) = 1.08-1.24). Higher risks of ADHD were also observed for both GDM (pooled HR = 1.10, 95% CI = 1.04-1.17) and PGDM (pooled HR = 1.39, 95% CI = 1.25-1.55). However, siblings with discordant exposure to GDM in pregnancy had similar risks of ADHD (pooled HR = 1.05, 95% CI = 0.94-1.17), suggesting potential confounding by unmeasured, shared familial factors. Our findings indicate that there is a small-to-moderate association between MDM and ADHD, whereas the association between GDM and ADHD is unlikely to be causal. This finding contrast with previous studies, which reported substantially higher risk estimates, and underscores the need to reevaluate the precise roles of hyperglycemia and genetic factors in the relationship between MDM and ADHD.
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Trastorno por Déficit de Atención con Hiperactividad , Diabetes Gestacional , Efectos Tardíos de la Exposición Prenatal , Humanos , Trastorno por Déficit de Atención con Hiperactividad/epidemiología , Trastorno por Déficit de Atención con Hiperactividad/genética , Femenino , Embarazo , Diabetes Gestacional/epidemiología , Niño , Masculino , Efectos Tardíos de la Exposición Prenatal/epidemiología , Estudios de Cohortes , Adulto , Factores de Riesgo , Madres , Modelos de Riesgos Proporcionales , Taiwán/epidemiología , Nueva Zelanda/epidemiología , Hong Kong/epidemiologíaRESUMEN
Background: COVID-19 disrupted the TB prevention programme in the UK, especially for TB infection (TBI) care. We explore whether experience of the COVID-19 pandemic impacted on patients' perceptions of TBI and its treatment. Methods: Semi-structured interviews were conducted as part of the Research to Improve Detection and Treatment of TBI (RID-TB) programme, exploring perceptual and practical barriers to TBI treatment. Nineteen people diagnosed with TBI were interviewed between August 2020 and April 2021. Recordings were transcribed and analysed using a constant comparative approach, allowing for a dynamic and iterative exploration of themes. Themes are organised using the Perceptions and Practicalities Approach. Findings: Some participants perceived TBI as a risk factor for increased susceptibility to COVID-19, while some thought that treatment for TBI might protect against COVID-19 or mitigate its effects. Adaptations to TB services (e.g., remote follow-up) and integrated practices during the COVID-19 restrictions (e.g., medication being posted) addressed some practical barriers to TBI treatment. However, we identified beliefs about TBI and COVID-19 that are likely to act as barriers to engagement with TBI treatment, including: interpreting service delays as an indication of TBI not being serious enough for treatment and concerns about contracting COVID-19 in TB clinics. Interpretation: COVID-19 and TBI service delays influence people's perceptions and practical barriers to TBI treatment adherence. Failure to address these beliefs may lead to people's concerns about their treatment not being fully addressed. Utilised service adaptations like remote consultations to address practical barriers may be relevant beyond COVID-19. Funding: NIHR RID-TB Program (RP-PG-0217-20009).
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BACKGROUND: Persistent opioid use (POU) is common after surgery and is associated with an increased risk of mortality and morbidity. There have been no population-based studies exploring POU in opioid-naïve surgical patients in New Zealand (NZ). This study aimed to determine the incidence and risk factors for POU in opioid-naïve patients undergoing surgery in all NZ hospitals. METHOD: We included all opioid-naïve patients who underwent surgery without a concomitant trauma diagnosis and received opioids after discharge from any NZ hospital between January 2007 and December 2019. Patients were considered opioid naïve if no opioids had been dispensed to them or if they did not have a prior diagnosis of an opioid-use disorder up to 365 days preceding the index date. The primary outcome was the incidence of POU, defined a priori as opioid use after discharge between 91 and 365 days. We used a multivariable logistic regression to identify risk factors for POU. RESULTS: We identified 1789,407 patients undergoing surgery with no concomitant diagnosis of trauma; 377,144 (21.1%) were dispensed opioids and 260,726 patients were eligible and included in the analysis. Of those included in the final sample, 23,656 (9.1%; 95% confidence interval [CI], 9.0%-9.2%) developed POU. Risk factors related to how opioids were prescribed included: changing to different opioid(s) after discharge (adjusted odds ratio [aOR], 3.21; 95% CI, 3.04-3.38), receiving multiple opioids on discharge (aOR, 1.37; 95% CI, 1.29-1.45), and higher total oral morphine equivalents (>400 mg) (aOR, 1.23; 95% CI, 1.23-1.45). Conversely, patients who were coprescribed nonopioid analgesics on discharge had lower odds of POU (aOR, 0.91; 95% CI, 0.87-0.95). Only small differences were observed between different ethnicities. Other risk factors associated with increased risk of POU included undergoing neurosurgery (aOR, 2.02; 95% CI, 1.83-2.24), higher comorbidity burden (aOR, 1.90; 95% CI, 1.75-2.07), preoperative nonopioid analgesic use (aOR, 1.65; 95% CI, 1.60-1.71), smoking (aOR, 1.44; 95% CI, 1.35-1.54), and preoperative hypnotics use (aOR, 1.35; 95% CI, 1.28-1.42). CONCLUSIONS: Approximately 1 in 11 opioid-naïve patients who were dispensed opioids on surgical discharge, developed POU. Potentially modifiable risk factors for POU, related to how opioids were prescribed included changing opioids after discharge, receiving multiple opioids, and higher total dose of opioids given on discharge. Clinicians should discuss the possibility of developing POU with patients before and after surgery and consider potentially modifiable risk factors for POU when prescribing analgesia on discharge after surgery.
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Purpose: The aim of this study was to evaluate the feasibility of a community pharmacy-delivered intervention to shift patients' beliefs about short-acting beta2 agonists (SABA) in asthma management. The study targeted individual beliefs about SABA and assessed actual SABA use, focusing on reducing SABA use as well as adherence to inhaled corticosteroids (ICS) as a preventive measure. Patients and Methods: This non-randomized, before-and-after feasibility study enrolled participants with asthma from four community pharmacies in Auckland, New Zealand. Eligible participants were aged 18 years and above and were prescribed a SABA for their asthma. The intervention included the SABA reliance questionnaire to determine the degree of SABA reliance, verbal discussions with pharmacists personalised according to the degree of SABA reliance identified, and referral to general practitioners as appropriate. Results: Of the 44 patients who consented into the study, 19 were in the control group and 16 in the intervention group. Recruitment and retention were modest, with 10 control and five intervention participants completing the 90-day follow-up. Although not statistically significant, preliminary results indicated reduced SABA reliance and increased ICS adherence in the intervention group, and reduced SABA refill. Feedback showed that 78% of intervention participants found the information easy to understand, and 56% expressed intent to consult their general practitioners. Pharmacy staff found the intervention feasible but noted time constraints as a barrier to intervention delivery. Conclusion: The study demonstrates that a community pharmacy-delivered intervention is feasible and acceptable to both patients and pharmacists. While preliminary results show a positive effect on reducing SABA reliance and improvement of ICS adherence, the results were not statistically significant due to the small numbers recruited. This suggests a larger randomised trial is indicated. This intervention holds promise for addressing the over-reliance on SABA in asthma management and improving adherence to preventive therapies.
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BACKGROUND: Vaccine hesitancy is a significant threat to global health. A key part of addressing hesitancy is to ensure that public health messaging prioritises information that is considered important to the public. This study aimed to examine how different vaccine characteristics affect public preferences for vaccines in New Zealand, what trade-offs they are willing to make between different vaccine characteristics, and how their preferences are affected by their vaccine-related conspiracy beliefs and COVID-19 vaccination status. METHODS: An online discrete choice experiment (DCE) was designed to elicit individual preferences about vaccines using the 1000minds platform. Members of the general population of New Zealand aged ≥ 18 years were invited to complete the DCE. Participants were asked to indicate their preference between two options showing different combinations of vaccine characteristics. Data on sociodemographic characteristics were collected. Beliefs were measured using the vaccine conspiracy beliefs scale (VCBS) with scores ≥ 19 indicating strong vaccine-related conspiracy beliefs. The DCE was analysed using the PAPRIKA method (Potentially All Pairwise RanKings of all possible Alternatives) and preferences compared between respondents with high versus low VCBS scores and vaccinated versus unvaccinated respondents for COVID-19. RESULTS: A total of 611 respondents from 15 regions completed the DCE. Mean (SD) age was 45.9 (14.7) years with most having had 2 or more doses of the coronavirus vaccine (86%). Mean (SD) VCBS score was 18.5 (12.4) indicating moderate vaccine-related conspiracy beliefs. Risk of severe adverse effects was the most highly valued vaccine characteristic, followed by vaccine effectiveness and duration of protection. Vaccine origin and route of administration were ranked least important. Respondents scoring high on the VCBS placed less value on the effectiveness of vaccines but greater value on development time and total number of doses (p < 0.001). COVID-19 unvaccinated respondents ranked development time and total number of doses more highly than those vaccinated respondents (p < 0.001). CONCLUSIONS: Risk of severe adverse effects, vaccine effectiveness and duration of protection were rated by the New Zealand public as the top three most important vaccine characteristics. This information is important for informing public health messaging to promote vaccine uptake and inform vaccine decision-making.
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COVID-19 , Vacunas , Humanos , Vacunas contra la COVID-19 , Nueva Zelanda , Vacunación , COVID-19/prevención & control , Toma de DecisionesRESUMEN
OBJECTIVES: Opioid use has increased globally, dramatically increasing opioid overdose, dependence, abuse and mortality. Limited research is available on opioid use patterns in older adults in New Zealand and internationally. This study aims to address this gap by determining the incidence and prevalence of opioid use among older adults (age ≥65 years) in New Zealand from 2007 to 2018. METHODS: This was a population-based retrospective cohort study conducted using New Zealand national administrative healthcare databases. The annual opioid use incidence (2008-2018) and prevalence (2007-2018) in older adults were determined and stratified by sex, age, and opioid type and strength. We used descriptive statistics to summarise the patterns of opioid dispensing. Data analysis was conducted using MS Excel, and data linking was performed using SQL software. RESULTS: A total of 820,349 older adults were initiated on opioids during the study period. The overall incidence of opioid use in older adults showed a steady increase from 2008 to 2015; similarly, the prevalence steadily increased from 2007 to 2015, and thereafter, both rates fluctuated. A slight decrease in both prevalence and incidence rates was observed in 2018. Codeine and tramadol were the most commonly dispensed opioids during the study period. Females had a higher incidence and prevalence of all opioids than males. CONCLUSIONS: The incidence and prevalence of opioid dispensing increased in New Zealand older adults over time. Monitoring the trends of opioid use in older adults is critical to enable clinicians and policymakers to deliver early interventions to prevent future opioid-related adverse events.