Medication and procedural abortions before 13 weeks gestation and risk of psychiatric disorders.

BACKGROUND: The proportion of abortions provided by medication in the United States and worldwide has increased greatly since the U.S. Food and Drug Administration approved mifepristone in 2000. While existing research has shown that abortion does not increase risk of mental health problems, no population-based study has examined specifically whether a procedural or medication abortion increases risk of mental health disorders. OBJECTIVE: This study examined whether mental health disorders increased in the shorter and longer-term after a medication or procedural abortion. STUDY DESIGN: Using Danish population registers' data, we conducted a prospective cohort study in which we included 72,424 females born in Denmark between 1980 and 2006, who were ages 12 to 38 during the study period and had a first first-trimester abortion before 13 weeks gestation in 2000 to 2018. Females with no previous psychiatric diagnoses were followed from 1 year before their abortion until their first psychiatric diagnosis, December 31, 2018, emigration from Demark, or death, whichever came first. Risk of any first psychiatric disorder was defined as a recorded psychiatric diagnosis at an in- or out-patient facility from the 1 year after to more than 5 years after a medication or procedural abortion relative to the year beforehand. Results were adjusted for calendar year, age, gestational age, partner status, prior mental and physical health, childbirth history, childhood environment, and parental mental health history. RESULTS: Females having medication (n=37,155) and procedural abortions (n=35,269) had the same risk of any first psychiatric diagnosis in the year after their abortion relative to the year before their abortion (medication abortion adjusted incidence rate ratio [MaIRR]=1.02, 95% confidence interval [CI]: 0.93-1.12; procedural abortion adjusted incidence rate ratio [PaIRR]=0.94, 95% CI: 0.86-1.02). Moreover, as more time from the abortion passed, the risk of a psychiatric diagnoses decreased relative to the year before their abortion for each abortion method (MaIRR 1-2 years after=0.89, 95% CI: 0.80-0.98; PaIRR 1-2 years after=0.81, 95% CI: 0.88-1.05; MaIRR 2-5 years after=0.77, 95% CI: 0.71-0.84; PaIRR 2-5 years after=0.72, 95% CI: 0.67-0.78; MaIRR 5+ years after=0.58, 95% CI: 0.53-0.63; PaIRR 5+ years after=0.54, 95% CI: 0.50-0.58). CONCLUSION: Because the risk of psychiatric diagnoses was the same in the year after relative to the year before a medication and procedural abortion and the risk did not increase as more time after the abortion increased, neither abortion method increased risk of mental health disorders in the shorter or longer-term.

Out-of-pocket health care expenses for people with and without cancer, New South Wales, 2020: a cross-sectional study.

OBJECTIVES: To investigate self-reported out-of-pocket health care expenses, both overall and by cost type, for a large population-based sample of Australians, by cancer status and socio-demographic and medical characteristics. STUDY DESIGN: Cross-sectional study. SETTING, PARTICIPANTS: New South Wales residents participating in the 45 and Up Study (recruited aged 45 years or older during 2005-2009) who completed the 2020 follow-up questionnaire; survey responses linked with New South Wales Cancer Registry data. MAIN OUTCOME MEASURES: Proportions of respondents who reported that out-of-pocket health care expenses during the preceding twelve months exceeded $1000 or $10 000; adjusted odds ratios (aORs) for associations with socio-demographic and medical characteristics. RESULTS: Of the 267 357 recruited 45 and Up Study participants, 45 061 completed the 2020 survey (response rate, 53%); 42.7% (95% confidence interval [CI], 42.2-43.1%) reported that overall out-of-pocket health care expenses during the previous year exceeded $1000, including 55.4% (52.1-58.7%) of participants diagnosed in the preceding two years and 44.9% (43.7-46.1%) of participants diagnosed with cancer more than two years ago. After adjustment for socio-demographic factors, out-of-pocket expenses greater than $1000 were more likely to be reported by participants with cancer than by those without cancer (diagnosis in past two years: aOR, 2.06 [95% CI, 1.77-2.40]; diagnosis more than two years ago: aOR, 1.22 [95% CI, 1.15-1.29]). The odds of out-of-pocket expenses exceeding $1000 increased with area-based socio-economic advantage and household income, and were higher for people with private health insurance (v people with Medicare coverage only: aOR, 1.64; 95% CI, 1.53-1.75). Out-of-pocket expenses exceeding $10 000 were also more likely for participants diagnosed with cancer during the past two years (v no cancer: aOR, 3.30; 95% CI, 2.56-4.26). CONCLUSIONS: People diagnosed with cancer during the past two years were much more likely than people without cancer to report twelve-month out-of-pocket health care expenses that exceeded $1000. Out-of-pocket expenses for people with cancer can exacerbate financial strain at a time of vulnerability, and affect health care equity because some people cannot pay for all available treatments.

Multiple myeloma incidence, mortality, and prevalence estimates and projections, Australia, 1982-2043: a statistical modelling study.

OBJECTIVES: To examine changes in multiple myeloma incidence and mortality rates during 1982-2018, and to estimate its incidence, mortality, and prevalence for 2019-2043. STUDY DESIGN: Population-based statistical modelling study; analysis of and projections based on Australian Institute of Health and Welfare multiple myeloma incidence, mortality, and survival data. SETTING: Australia, 1982-2018 (historical data) and projections to 2043. MAIN OUTCOME MEASURES: Changes in multiple myeloma incidence and mortality rates, 1982-2018, determined by joinpoint regression analysis (age-standardised to 2021 Australian population); projection of rates to 2043 based on age-period-cohort models; estimated 5- and 30-year prevalence of multiple myeloma (modified counting method). RESULTS: The incidence of multiple myeloma increased during 1982-2018 (eg, annual percentage change [APC], 2006-2018, 1.9%; 95% confidence interval [CI], 1.7-2.2%), but the mortality rate declined during 1990-2018 (APC, -0.4%; 95% CI, -0.5% to -0.2%). The age-standardised incidence rate was projected to increase by 14.9% during 2018-2043, from 8.7 in 2018 to 10.0 (95% CI, 9.4-10.7) new cases per 100 000 population in 2043; the mortality rate was projected to decline by 27.5%, from 4.0 to 2.9 (95% CI, 2.6-3.3) deaths per 100 000 population. The annual number of people newly diagnosed with multiple myeloma was estimated to increase by 89.2%, from 2120 in 2018 to 4012 in 2043; the number of deaths from multiple myeloma was projected to increase by 31.7%, from 979 to 1289. The number of people living with multiple myeloma up to 30 years after initial diagnosis was projected to increase by 163%, from 10 288 in 2018 to 27 093 in 2043, including 13 019 people (48.1%) diagnosed during the preceding five years. CONCLUSION: Although the decline in the mortality rate was projected to continue, the projected increases in the incidence and prevalence of multiple myeloma in Australia over the next 25 years indicate that investment in prevention and early detection research, and planning for prolonged treatment and care, are needed.

PROTOCOL: Abortion and mental health outcomes: A systematic review and meta-analysis.

This is a protocol for a systematic review and meta-analysis of research on mental health outcomes of abortion. Does abortion increase the risk of adverse mental health outcomes? That is the central question for this review. Our review aims to inform policy and practice by locating, critically appraising, and synthesizing empirical evidence on associations between abortion and subsequent mental health outcomes. Given the controversies surrounding this topic and the complex social, political, legal, and ideological contexts in which research and reviews on abortion are conducted, it is especially important to conduct this systematic review and meta-analysis with comprehensive, rigorous, unbiased, and transparent methods. We will include a variety of study designs to enhance understanding of studies' methodological strengths and weaknesses and to identify potential explanations for conflicting results. We will follow open science principles, providing access to our methods, measures, and results, and making data available for re-analysis.

Bridging the gap between intuition and theory: a comparison of different approaches to implementation strategy development for improving Lynch syndrome detection.

INTRODUCTION: Despite growing calls for the explicit application of theory when designing behaviour change interventions, limited empirical evidence exists regarding the effectiveness of these methods compared to non-theoretical approaches. A cluster randomized controlled trial (Hide and Seek Project - HaSP) tested two implementation approaches for improving hereditary cancer referral practices with one key distinction: implementation strategies were designed based explicitly on psychological theory, or based on stakeholder intuition. This study presents the detailed methods and resources used to facilitate this comparison, whilst examining the strategies generated through both approaches. METHODS: Across seven Australian hospitals, clinical stakeholders attended focus-groups to co-design site-specific strategies for improving Lynch syndrome referral. Co-design methods differed according to trial arm. Implementation strategy content was examined, with intuitively-derived strategies retrospectively coded to determine theoretical alignment. RESULTS: Fifty-one strategies were proposed across all sites (theory-based arm = 32, intuition-based arm = 19). Overall, nine Behaviour Change Technique (BCT) categories were used on 77 occasions. In the theory-based trial arm, eight BCT categories were identified on 53 occasions; versus five BCT categories on 24 occasions in the intuition-based arm. BCT categories were largely similar across both arms. After retrospectively coding intuitively-derived strategies, 42% contained mechanistic links, thereby demonstrating theoretical alignment. CONCLUSION: Methods facilitated robust comparison of theoretical and intuitive approaches to implementation strategy design. Recognising the known benefits of theory for enhancing scientific learning, applying these methods on a larger scale may provide definitive evidence about the comparative effectiveness of theoretical approaches.

Trends and projections of cause-specific premature mortality in Australia to 2044: a statistical modelling study.

Background: Long-term projections of premature mortality (defined as deaths age <75 years) help to inform decisions about public health priorities. This study aimed to project premature mortality rates in Australia to 2044, and to estimate numbers of deaths and potential years of life lost (PYLL) due to premature mortality overall and for 59 causes. Methods: We examined the past trends in premature mortality rates using Australian mortality data by sex, 5-year age group and 5-year calendar period up to 2019. Cigarette smoking exposure data (1945-2019) were included to project lung cancer mortality. Age-period-cohort or generalised linear models were developed and validated for each cause to project premature mortality rates to 2044. Findings: Over the 25-year period from 1990-1994 to 2015-2019, there was a 44.4% decrease in the overall age-standardised premature mortality rate. This decline is expected to continue, from 162.4 deaths/100,000 population in 2015-2019 to 141.7/100,000 in 2040-2044 (12.7% decrease). Despite declining rates, total numbers of premature deaths are projected to increase by 22.8%, rising from 272,815 deaths in 2015-2019 to 334,894 deaths in 2040-2044. This is expected to result in 1.58 million premature deaths over the 25-year period 2020-2044, accounting for 24.5 million PYLL. Of the high-level cause categories, cancer is projected to remain the most common cause of premature death in Australia by 2044, followed by cardiovascular disease, external causes (including injury, poisoning, and suicide), and respiratory diseases. Interpretation: Despite continuously declining overall premature mortality rates, the total number of premature deaths in Australia is projected to remain substantial, and cancer will continue to be the leading cause. These projections can inform the targeting of public health efforts and can serve as benchmarks against which to measure the impact of future interventions. They emphasise the ongoing importance of accelerating the prevention, early detection, and treatment of key health conditions. Funding: No funding was provided for this study.

Association of optimism and social support with health-related quality of life among Australian women cancer survivors - A cohort study.

AIM: Large-scale studies investigating health-related quality of life (HRQL) in cancer survivors are limited. This study aims to investigate HRQL and its relation to optimism and social support among Australian women following a cancer diagnosis. METHODS: Data were from the Australian Longitudinal Study on Women's Health, a large cohort study (n = 14,715; born 1946-51), with 1428 incident cancer cases ascertained 1996-2017 via linkage to the Australian Cancer Database. HRQL was measured using the Short Form-36 (median 1.7 years post-cancer-diagnosis). Multivariable linear regression was performed on each HRQL domain, separately for all cancers combined, major cancer sites, and cancer-free peers. RESULTS: Higher optimism and social support were significantly associated with better HRQL across various domains in women with and without a cancer diagnosis (p < 0.05). Mean HRQL scores across all domains for all cancer sites were significantly higher among optimistic versus not optimistic women with cancer (p < 0.05). Adjusting for sociodemographic and other health conditions, lower optimism was associated with reduced scores across all domains, with greater reductions in mental health (adjusted mean difference (AMD) = -11.54, p < 0.01) followed by general health (AMD = -11.08, p < 0.01). Social support was less consistently related to HRQL scores, and following adjustment was only significantly associated with social functioning (AMD = -7.22, p < 0.01) and mental health (AMD = -6.34, p < 0.01). CONCLUSIONS: Our findings highlight a strong connection between optimism, social support, and HRQL among cancer survivors. Providing psychosocial support and addressing behavioral and socioeconomic factors and other health conditions associated with optimism and social support may improve HRQL.

Impact of weighting on the association between sociodemographic characteristics, health behaviours and cancer, cardiovascular and all-cause mortality in the Australian 45 and Up Study.

BACKGROUND: Weighting can improve study estimate representativeness. We examined the impact of weighting on associations between participants' characteristics and cancer, cardiovascular and all-cause mortality in the Australian 45 and Up Study cohort. METHODS: Raking weighted cohort data to the 2006 Australian population for seven sociodemographic characteristics. Deaths were ascertained via linkage to routinely collected data. Cox's proportional hazards regression quantified associations between 11 sociodemographic and health characteristics and cancer, cardiovascular and all-cause mortality. The ratios of hazard ratios (RHRs) compared unweighted and weighted estimates. RESULTS: Among 195,052 included participants (median follow-up 11.4 years), there were 7200 cancer, 5912 cardiovascular and 21,840 all-cause deaths. Overall, 102/111 (91.9%) weighted HRs did not differ significantly from unweighted HRs (100%, 86.5% and 89.2% of 37 HRs for cancer, cardiovascular and all-cause mortality, respectively). Significant differences included a somewhat stronger association between single/widowed/divorced (versus married/de-facto) and cardiovascular mortality (unweighted HR=1.25 (95%CI:1.18-1.32), weighted HR=1.33 (95%CI:1.24-1.42), RHR=1.06 (95%CI:1.02-1.11)); and between no school certificate/qualification (versus university degree) and all-cause mortality (unweighted HR=1.21 (95%CI:1.15-1.27), weighted HR=1.28 (95%CI:1.19-1.38), RHR=1.06 (95%CI:1.03-1.10)). CONCLUSION: Our results support the generalisability of most estimates of associations in the 45 and Up Study, particularly in relation to cancer mortality. Slight distortion of a few associations with cardiovascular or all-cause mortality were observed.

Mental Health Distress and Delayed Contraception Among Older Adolescents and Young Adults.

Background: Symptoms of mental distress increased sharply during the COVID-19 pandemic, especially among older adolescents and young adults. Mental health distress may make it more challenging for young people to seek other needed health care, including contraception. This study explored the association of symptoms of depression, anxiety, and stress with delays in getting a contraceptive method or prescription. Materials and Methods: Data from a supplementary study (May 15, 2020-March 20, 2023) to a cluster randomized trial in 29 sites in Texas and California were used. The diverse study sample included community college students assigned female at birth of ages 18-29 years (n = 1,665 with 7,023 observations over time). We measured the association of depression (CES-D [Center for Epidemiologic Studies Depression Scale]) or anxiety and stress (DASS-21 [Depression Anxiety Stress Scales]) symptoms with delayed contraceptive care-seeking with mixed-effects multivariable regression with random effects for individual and site. We controlled for age and sociodemographic factors important for access to care. Results: Over one-third of participants (35%) reported they delayed getting the contraceptive method they needed. Multivariable regression results showed increased odds of delayed contraceptive care among participants with symptoms of depression (adjusted odds ratio [aOR] 1.58, 95% confidence interval [CI] 1.27-1.96). Likewise, delays were associated with anxiety and stress symptoms (aOR 1.46, 95% CI 1.17-1.82). Adolescents were more likely to delay seeking contraception than young adults (aOR 1.32, 95% CI 1.07-1.63). Conclusions: Results showed a strong association between mental distress and delayed contraception. Interventions are needed to increase contraceptive access for young people delaying care, along with supportive mental health care services, including for adolescents who face elevated odds of delay. ClinicalTrials.gov Identifier: NCT03519685.

Public Preferences for Genetic and Genomic Risk-Informed Chronic Disease Screening and Early Detection: A Systematic Review of Discrete Choice Experiments.

PURPOSE: Genetic and genomic testing can provide valuable information on individuals' risk of chronic diseases, presenting an opportunity for risk-tailored disease screening to improve early detection and health outcomes. The acceptability, uptake and effectiveness of such programmes is dependent on public preferences for the programme features. This study aims to conduct a systematic review of discrete choice experiments assessing preferences for genetic/genomic risk-tailored chronic disease screening. METHODS: PubMed, Embase, EconLit and Cochrane Library were searched in October 2023 for discrete choice experiment studies assessing preferences for genetic or genomic risk-tailored chronic disease screening. Eligible studies were double screened, extracted and synthesised through descriptive statistics and content analysis of themes. Bias was assessed using an existing quality checklist. RESULTS: Twelve studies were included. Most studies focused on cancer screening (n = 10) and explored preferences for testing of rare, high-risk variants (n = 10), largely within a targeted population (e.g. subgroups with family history of disease). Two studies explored preferences for the use of polygenic risk scores (PRS) at a population level. Twenty-six programme attributes were identified, with most significantly impacting preferences. Survival, test accuracy and screening impact were most frequently reported as most important. Depending on the clinical context and programme attributes and levels, estimated uptake of hypothetical programmes varied from no participation to almost full participation (97%). CONCLUSION: The uptake of potential programmes would strongly depend on specific programme features and the disease context. In particular, careful communication of potential survival benefits and likely genetic/genomic test accuracy might encourage uptake of genetic and genomic risk-tailored disease screening programmes. As the majority of the literature focused on high-risk variants and cancer screening, further research is required to understand preferences specific to PRS testing at a population level and targeted genomic testing for different disease contexts.

Global review of COVID-19 mitigation strategies and their impact on cancer service disruptions.

During the COVID-19 pandemic, countries adopted mitigation strategies to reduce disruptions to cancer services. We reviewed their implementation across health system functions and their impact on cancer diagnosis and care during the pandemic. A systematic search was performed using terms related to cancer and COVID-19. Included studies reported on individuals with cancer or cancer care services, focusing on strategies/programs aimed to reduce delays and disruptions. Extracted data were grouped into four functions (governance, financing, service delivery, and resource generation) and sub-functions of the health system performance assessment framework. We included 30 studies from 16 countries involving 192,233 patients with cancer. Multiple mitigation approaches were implemented, predominantly affecting sub-functions of service delivery to control COVID-19 infection via the suspension of non-urgent cancer care, modified treatment guidelines, and increased telemedicine use in routine cancer care delivery. Resource generation was mainly ensured through adequate workforce supply. However, less emphasis on monitoring or assessing the effectiveness and financing of these strategies was observed. Seventeen studies suggested improved service uptake after mitigation implementation, yet the resulting impact on cancer diagnosis and care has not been established. This review emphasizes the importance of developing effective mitigation strategies across all health system (sub)functions to minimize cancer care service disruptions during crises. Deficiencies were observed in health service delivery (to ensure equity), governance (to monitor and evaluate the implementation of mitigation strategies), and financing. In the wake of future emergencies, implementation research studies that include pre-prepared protocols will be essential to assess mitigation impact across cancer care services.