Geographic Variation in Osteoporosis Treatment in Postmenopausal Women: A 15-Year Longitudinal Analysis.

Context: Osteoporosis affects more than half of older women, but many are not treated. Whether treatment differs between rural and urban areas is unknown. Objective: To examine differences in osteoporosis treatment among postmenopausal women living in urban and rural areas of Australia. Methods: Women participating in the Australian Longitudinal Study on Women's Health, a prospective longitudinal cohort study, born between 1946-1951, and with osteoporosis or fractures, were included. Surveys from 2004 to 2019 were linked to the Pharmaceutical Benefits Scheme (government-subsidized medications) to assess osteoporosis treatment and adherence, comparing geographical areas. Results: Of the 4259 women included (mean age, 55.6 years), 1703 lived in major cities, 1629 inner regional, 794 outer regional, and 133 remote areas. Over the 15-year follow-up, 1401 (32.9%) women received treatment, including 47.4% of women with osteoporosis and 29.9% with fractures. Women in outer regional and remote areas were less likely to use antiosteoporosis treatment than those in major cities on univariable analysis (outer regional odds ratio, 0.83; 95% CI, 0.72-0.95; remote, 0.65; 0.49-0.86), but this did not remain significant on multivariable analysis. Median duration of use was 10 to 36 months, adherence varied by treatment type (34%-100%) but was not related to incident fractures, and of the women who stopped denosumab, 85% did not receive another consolidating treatment. Conclusions: One-third of women with osteoporosis/fractures received treatment, and adherence was low. There was no difference in treatment use between urban and rural areas after adjusting for risk factors, although the specific treatment used, and adherence, differed.

Systematic review and meta-analysis of pregnancy outcomes in women with polycystic ovary syndrome.

Screening for polycystic ovary syndrome (PCOS) in antenatal care is inadequate, largely owing to the lack of clarity around whether PCOS is an independent risk factor for pregnancy complications. This systematic review and meta-analysis include 104 studies and 106,690 pregnancies in women with and without PCOS from inception until 13th July 2022. We report that women with PCOS are younger and have higher body mass index (BMI) around conception and have greater gestational weight gain. The odds of miscarriage, gestational diabetes mellitus, gestational hypertension, pre-eclampsia and cesarean section are higher in women with PCOS. The increased odds of adverse outcomes in PCOS remain significant when age and BMI are matched and when analyses are restricted to high-quality studies. This work informed the recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome, emphasizing that PCOS status should be captured in all women who are planning to, or have recently become pregnant to facilitate prevention of adverse outcomes and improve pregnancy outcomes.

Systematic review and meta-analysis of birth outcomes in women with polycystic ovary syndrome.

It is unclear whether polycystic ovary syndrome (PCOS) is an independent risk factor for adverse birth outcomes in the offspring of affected women. Here, we investigate the association of PCOS with birth outcomes in the offspring of women with PCOS overall and by potential confounders. This systematic review and meta-analysis included 73 studies and 92,881 offspring of women with and without PCOS from inception until 13th July 2022. We report that mothers with PCOS are younger and have higher body mass index (BMI) around conception and have greater gestational weight gain. The odds of preterm birth, fetal growth restriction and low birth weight are higher and mean birthweight is lower in PCOS of which a lower mean birthweight and a higher small for gestational age are probably independent of BMI. This work informed the recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome, emphasizing that PCOS status should be captured at pregnancy to identify risk and improve birth outcomes in the offspring.

Exercise in the management of polycystic ovary syndrome: A position statement from Exercise and Sport Science Australia.

Polycystic ovary syndrome (PCOS) is the most prevalent endocrine condition amongst females of reproductive age, leading to lifelong cardiometabolic, reproductive, psychological, and dermatologic symptoms as well as a reduced quality of life. Lifestyle interventions, which can include structured exercise programmes delivered by appropriately trained exercise professionals such as clinical exercise physiologists, are considered first-line strategies in PCOS management due to their therapeutic effects on various health outcomes and quality of life. This position statement builds on the 2023 International Evidence-based Guideline for the Assessment and Management of PCOS and describes the role of the exercise professional in the context of the multidisciplinary care team which includes physicians and allied health professionals. This position statement aims to equip exercise professionals with a broad understanding of the pathophysiology of PCOS, how it is diagnosed and managed in clinical practice, and evidence- and consensus-based recommendations for physical activity and exercise in PCOS management. In line with the physical activity recommendations for the general public, individuals with PCOS should aim to undertake between 150 to 300min of moderate-intensity or 75 to 150min of vigorous-intensity aerobic activity per week, or an equivalent combination of both spread throughout the week. Additionally, muscle-strengthening activities on two non-consecutive days per week are recommended to maintain health and prevent weight gain. For further health benefits and to achieve modest weight loss, individuals with PCOS should aim for a minimum of 250min of moderate-intensity or 150min of vigorous-intensity aerobic activity per week, or an equivalent combination of both spread throughout the week, plus muscle-strengthening activities on two non-consecutive days per week. Adolescents with PCOS should aim for a minimum of 60min moderate- to vigorous-intensity activity each day, incorporating muscle- and bone-strengthening activities three times per week. Finally, exercise professionals should consider the significant psychological burden, including weight stigma, and the high prevalence of comorbidities amongst individuals with PCOS and take appropriate measures to deliver safe and efficacious exercise interventions.

External validation of risk prediction model for gestational diabetes: Individual participant data meta-analysis of randomized trials.

BACKGROUND: An original validated risk prediction model with good discriminatory prognostic performance for predicting gestational diabetes (GDM) diagnosis, has been updated for recent international association of diabetes in pregnancy study group (IADPSG) diagnostic criteria. However, the updated model is yet to be externally validated on an international dataset. AIMS: To perform an external validation of the updated risk prediction model to evaluate model indices such as discrimination and calibration based on data from the International Weight Management in Pregnancy (i-WIP) Collaborative Group. MATERIALS AND METHODS: The i -WIP dataset was used to validate the GDM prediction tool across discrimination and model calibration. RESULTS: Overall 7689 individual patient data were included, with 17.4 % with GDM, however only 113 cases were available using IADPSG (International Association of Diabetes and Pregnancy Groups) criteria for 75 g OGTT glucose load and ACOG (American College of Obstetricians and Gynecologists) for 100 g glucose load and having the routine clinical risk factor data. The GDM model was moderately discriminatory (Area Under the Curve (AUC) of 0.67; 95 % CI 0.59 to 0.75), Sensitivity 81.0 % (95 % CI 66.7 % to 90.9 %), specificity 53 % (40.3 % to 65.4 %). The GDM score showed reasonable calibration for predicting GDM (slope = 0.84, CITL = 0.77). Imputation for missing data increased the sample to n = 253, and vastly improved the discrimination and calibration of the model to AUC = 78 (95 % CI 72 to 85), sensitivity (81 %, 95 % CI 66.7 % to 90.9 %) and specificity (75 %, 95 % CI 68.8 % to 81 %). CONCLUSION: The updated GDM model showed promising discrimination in predicting GDM in an international population sourced from RCT individual patient data. External validations are essential in order for the risk prediction area to advance, and we demonstrate the utility of using existing RCT data from different global settings. Despite limitations associated with harmonising the data to the variable types in the model, the validation model indices were reasonable, supporting generalizability across continents and populations.

Machine Learning Algorithms Versus Classical Regression Models in Pre-Eclampsia Prediction: A Systematic Review.

PURPOSE OF REVIEW: Machine learning (ML) approaches are an emerging alternative for healthcare risk prediction. We aimed to synthesise the literature on ML and classical regression studies exploring potential prognostic factors and to compare prediction performance for pre-eclampsia. RECENT FINDINGS: From 9382 studies retrieved, 82 were included. Sixty-six publications exclusively reported eighty-four classical regression models to predict variable timing of onset of pre-eclampsia. Another six publications reported purely ML algorithms, whilst another 10 publications reported ML algorithms and classical regression models in the same sample with 8 of 10 findings that ML algorithms outperformed classical regression models. The most frequent prognostic factors were age, pre-pregnancy body mass index, chronic medical conditions, parity, prior history of pre-eclampsia, mean arterial pressure, uterine artery pulsatility index, placental growth factor, and pregnancy-associated plasma protein A. Top performing ML algorithms were random forest (area under the curve (AUC) = 0.94, 95% confidence interval (CI) 0.91-0.96) and extreme gradient boosting (AUC = 0.92, 95% CI 0.90-0.94). The competing risk model had similar performance (AUC = 0.92, 95% CI 0.91-0.92) compared with a neural network. Calibration performance was not reported in the majority of publications. ML algorithms had better performance compared to classical regression models in pre-eclampsia prediction. Random forest and boosting-type algorithms had the best prediction performance. Further research should focus on comparing ML algorithms to classical regression models using the same samples and evaluation metrics to gain insight into their performance. External validation of ML algorithms is warranted to gain insights into their generalisability.

Consumer and community involvement in preventive health: current insights and considerations for future best practice.

Consumer and community involvement (CCI) in preventive research and health initiatives is not only encouraged but is expected within a rapidly evolving landscape across health policy, practice and research. Here, we summarise the fundamental principles of CCI, as well as outline the barriers and current developments in working towards best practices at organisational and systems levels. CCI stands at a critical juncture. Best practice emphasises meaningful partnerships with consumers and communities to deliver impactful research and prevention activities, yet complex challenges and systematic barriers remain. We need further evidence to demonstrate both 'what' and 'how' CCI should be best implemented in these settings. We present key considerations for researchers, organisations and systems to catalyse the transition of CCI from mere recognition of its importance to pragmatic and optimum implementation and, ultimately, to systemic reform. These include changes to capacity building, funding structures, equitable engagement and transparent evaluation. These must be underpinned by evidence-based approaches, partnership, trust and broad consensus processes to achieve meaningful and impactful CCI in research and healthcare improvement through a lens of inclusivity.

OptimalMe Program: A Mixed Method Investigation into the Engagement and Acceptability of a Preconception Digital Health Lifestyle Intervention with Individual Coaching for Women's Health and Behaviour Change.

Preconception interventions, specifically addressing general health, lifestyle behaviours and weight management, are limited despite their importance in optimising women's health. The objective of this study is to evaluate the engagement and acceptability of OptimalMe, a digital preconception intervention. Participants, (n = 298) Australian women aged 18-44 with private health insurance planning to conceive within 12 months, received a standardised intervention, including access to a digital healthy lifestyle platform (educational materials, behaviour change activities, and self-monitoring resources), ongoing text messaging, and remotely delivered health coaching (two appointments) with randomised delivery methods (telephone/videoconference). Engagement and acceptability were assessed through mixed method analyses. The results show that 76.2% attended both coaching sessions, with similar participation rates for telehealth (75.2%) and videoconferencing (77.2%) (p = 0.469). All participants logged into the digital platform, with 90.6% accessing educational materials and 91.3% using behaviour change tools. Digital platform engagement declined over time, suggesting potential benefits from additional health coaching support for ongoing participation. The post-intervention evaluation (n = 217 participants) demonstrated that approximately 90% found the digital module engaging, meeting information needs, would recommend the program, and were satisfied with the support. OptimalMe demonstrated positive acceptability and engagement; however, further research is warranted to explore strategies for sustaining engagement with the digital interventions.

Barriers to advancing women nurses in healthcare leadership: a systematic review and meta-synthesis.

Background: Women comprise the majority of the nursing profession, yet nurses are underrepresented in healthcare leadership. We aimed to explore barriers for women nurses to advance in healthcare leadership to inform organisational interventions for career advancement. Methods: In this systematic review and meta-synthesis, studies examining advancing women nurses and midwives in leadership within healthcare and academia in the international literature were included. Six databases (MEDLINE, EMCARE, EMBASE, PsycINFO, PubMed, and CINAHL PLUS) were searched for studies published in English between January 1 2000 and October 17 2023. The Grading of Recommendations Assessment, Development, and Evaluation tools (GRADE) was followed to assess confidence in the findings. Retrieved full texts were assessed for methodological rigour using the Critical Appraisal Skill Programme Qualitative Studies checklist and the Joanna Briggs Institute Cross-sectional and Prevalence Studies checklists. Reported barriers for women nurses' leadership attainment were identified and generated themes were mapped to the Abilities, Motivation, and Opportunities (AMO) framework. Findings: There were 32 eligible studies; 18 qualitative, 11 quantitative, and 3 mixed-methods. Studies included high-income countries (n = 20), middle-income countries (n = 7) and across countries (n = 3) with two unspecified. Samples included registered nurses, nurse academics, executives, and leaders. The key barriers highlighted were related to: role modelling and leadership development (ability); multiple complex and interacting factors, including gender stereotyping, perception of professionalism, human relations policies, and gender bias (motivation); and systemic issues, such as organisational setting, structure, and support (opportunity). Interpretation: The prevailing belief in the literature is that caregiving is a feminine occupation and along with societal expectations of women's subordinate position, these present substantial obstacles that limit women nurses from advancing into healthcare leadership. Ultimately, these factors restrict women nurses in career advancement and need to be addressed at a systems and organisational level. Funding: The National Health and Medical Research Council (NHMRC), Australia.

Evaluating Preconception Health and Behaviour Change in Australian Women Planning a Pregnancy: The OptimalMe Program, a Digital Healthy Lifestyle Intervention with Remotely Delivered Coaching.

OptimalMe is a digital healthy lifestyle intervention for women planning a pregnancy, with remotely delivered coaching. This follow-up study of Australian women, stratified by coaching delivery mode (phone vs. videoconferencing), assessed alignment to preconception care guidelines and self-reported behaviour change. Overall, 298 women enrolled with a mean (SD) age of 31.8 (4.3) years and mean BMI of 25.7 (6.1) kg/m2. Suboptimal preconception behaviours were reported at baseline, including alcohol consumption (57.2%), infrequent weighing (37.2%) and incomplete cervical cancer screening (15.8%) and prenatal supplementation (38.5). At follow-up (4.5 months) (n = 217), a statistically significant shift towards desired behaviours was reported for alcohol consumption (z = -2.6045, p = 0.00932), preconception supplementation (z = -2.7288, p = 0.00634) and frequent weight monitoring (z = -5.2911, p < 0.00001). An insignificant shift towards adherence to cervical cancer screening (z = -1.8679, p = 0.06148) was observed, with a positive trend towards adherence. Results indicate that women who are actively planning a pregnancy require support to optimise health and lifestyle in preparation for pregnancy and general health and lifestyle improvement. Women demonstrated improvement in lifestyle behaviours and self-monitoring, indicating the uptake of low-intensity, non-prescriptive information provision. Supporting the provision of knowledge-enhancing tools and general healthy lifestyle information combines with skilled health coaching as an effective method for behaviour change and self-management. OptimalMe also shows significant improvements in rates of healthcare engagement, which suggests coaching-based digital health interventions may decrease women's barriers for preconception care and improve engagement in clinical settings.

Sexual function in women with polycystic ovary syndrome: a systematic review and meta-analysis.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common and distressing endocrine disorder associated with lower quality of life, subfertility, diabetes, cardiovascular disease, depression, anxiety, and eating disorders. PCOS characteristics, its comorbidities, and its treatment can potentially influence sexual function. However, studies on sexual function in women with PCOS are limited and contradictory. OBJECTIVE AND RATIONALE: The aim was to perform a systematic review of the published literature on sexual function in women with PCOS and assess the quality of the research and certainty of outcomes, to inform the 2023 International Guidelines for the Assessment and Management of PCOS. SEARCH METHODS: Eight electronic databases were searched until 1 June 2023. Studies reporting on sexual function using validated sexuality questionnaires or visual analogue scales (VAS) in PCOS populations were included. Random-effects models were used for meta-analysis comparing PCOS and non-PCOS groups with Hedges' g as the standardized mean difference. Study quality and certainty of outcomes were assessed by risk of bias assessments and the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) method according to Cochrane. Funnel plots were visually inspected for publication bias. OUTCOMES: There were 32 articles included, of which 28 used validated questionnaires and four used VAS. Pooled Female Sexual Function Index (FSFI) scores in random-effects models showed worse sexual function across most subdomains in women with PCOS, including arousal (Hedges's g [Hg] [95% CI] = -0.35 [-0.53, -0.17], I2 = 82%, P < 0.001), lubrication (Hg [95% CI] = -0.54 [-0.79, -0.30], I2 = 90%, P < 0.001), orgasm (Hg [95% CI] = -0.37 [-0.56, -0.19], I2 = 83%, P < 0.001), and pain (Hg [95% CI] = -0.36 [-0.59, -0.13] I2 = 90%, P < 0.001), as well as total sexual function (Hg [95% CI] = -0.75 [-1.37, -0.12], I2 = 98%, P = 0.02) and sexual satisfaction (Hg [95% CI] = -0.31 [-0.45, -0.18], I2 = 68%, P < 0.001). Sensitivity and subgroup analyses based on fertility status and body mass index (BMI) did not alter the direction or significance of the results. Meta-analysis on the VAS studies demonstrated the negative impact of excess body hair on sexuality, lower sexual attractiveness, and lower sexual satisfaction in women with PCOS compared to controls, with no differences in the perceived importance of a satisfying sex life. No studies assessed sexual distress. GRADE assessments showed low certainty across all outcomes. WIDER IMPLICATIONS: Psychosexual function appears to be impaired in those with PCOS, but there is a lack of evidence on the related distress scores, which are required to meet the criteria for psychosexual dysfunction. Health care professionals should discuss sexual function and distress and be aware of the multifactorial influences on sexual function in PCOS. Future research needs to assess both psychosexual function and distress to aid in understanding the degree of psychosexual dysfunction in PCOS. Finally, more diverse populations (e.g. non-heterosexual and more ethnically diverse groups) should be included in future studies and the efficacy of treatments for sexual dysfunction should also be assessed (e.g. lifestyle and pharmacological interventions).

A qualitative study of work and early menopause: 'On-the job' experiences and career trajectories.

OBJECTIVES: Early menopause or premature ovarian insufficiency (POI), menopause occurring before age 45 and 40 years respectively, occur at the age when most women are establishing or consolidating their careers. Studies of older postmenopausal women indicate an adverse bidirectional relationship between menopause and work. However, data are lacking regarding the work experiences of women with early menopause or POI. We explored the experiences of women with early menopause or POI in relation to work. STUDY DESIGN: Using maximum variation sampling, 30 women (median age 44 years and 38 years at menopause diagnosis) of diverse backgrounds and menopause causes (16/30 iatrogenic) participated in qualitative interviews to explore experiences of early menopause/POI in the context of their overall lives, work and career. Dual thematic (themes identified across interviews) and thematic narrative (themes identified within individual interviews) analysis was done using NVivo 12 software. MAIN OUTCOME MEASURES: Themes related to work experiences and influencing factors. RESULTS: Two major themes were identified: 'on-the-job' experiences (work performance, bodily presentation and disclosure) and career trajectories (intact and altered). Factors impacting the interaction between work and early menopause/POI included: career (type of work, environment, working conditions), personal (age, socio-economic background, family arrangements, migration history) and menopause experience (spontaneous versus iatrogenic, treatment complexity). CONCLUSIONS: Early menopause/POI has multiple impacts on women's work experiences and career trajectories. As with older postmenopausal women, career and personal factors influence younger women's work experience. However, this research highlights differences associated with menopause occurring at an earlier, often unexpected age compared with menopause at the usual age.

Effects of different insulin sensitisers in the management of polycystic ovary syndrome: A systematic review and meta-analysis.

OBJECTIVE: Characteristic features of polycystic ovary syndrome (PCOS) include insulin resistance and an increased risk for type 2 diabetes. To promote improved insulin sensitivity, insulin sensitisers have been used in PCOS. However, direct comparisons across these agents are limited. This study compared the effects of metformin, rosiglitazone and pioglitazone in the management of PCOS to inform the 2023 International Evidence-based PCOS Guideline. DESIGN: Systematic review and meta-analysis of the literature. PATIENTS: Women with PCOS and treatment with insulin sensitisers. MEASUREMENTS: Hormonal and clinical outcomes, as well as side effects. RESULTS: Of 1660 publications identified, 13 randomised controlled trials were included. Metformin was superior in lowering weight (mean difference [MD]: -4.39, 95% confidence interval [CI]: -7.69 to -1.08 kg), body mass index (MD: -0.95, 95% CI: -1.41 to -0.49 kg/m2 ) and testosterone (MD: -0.10, 95% CI: -0.18 to -0.03 nmol/L) versus rosiglitazone, whereas there was no difference when comparing metformin to pioglitazone. Adding rosiglitazone or pioglitazone to metformin did not improve metabolic outcomes. However, rosiglitazone seemed superior to metformin in lowering lipid concentrations. CONCLUSIONS: Metformin should remain the first-line insulin sensitising treatment in adults with PCOS for the prevention and management of weight and metabolic features. The addition of thiazolidinediones appears to offer little benefit.

Breaking Boundaries: Toward Consistent Gender-Sensitive Language in Sexual and Reproductive Health Guidelines.

This review assesses gender-sensitive language in sexual and reproductive health (SRH) guidelines, including a guideline for polycystic ovary syndrome. We conducted a systematic search across databases like Medline, EMBASE, and Cochrane until July 31, 2023, using terms related to gender-inclusivity, SRH, and guideline protocols. Criteria for inclusion were gender-sensitive language, SRH focus, and guideline relevance, excluding non-English articles or those without policy considerations. Our search yielded 25 studies, with 6 included for qualitative synthesis. Results showed significant gaps in using gender-sensitive language in SRH guidelines. The debate on this language mirrors broader societal discourse. Recognizing gender diversity is essential for research, clinical practices, and societal norms. While promoting inclusion, drawbacks like unintended erasure or miscommunication should also be addressed. A gender-additive approach balances inclusivity and biological accuracy. Precise and inclusive discourse is crucial. Future research should focus on systemic approaches in the SRH sector.

The value of maternity care in Queensland, 2012-18, based on an analysis of administrative data: a retrospective observational study.

OBJECTIVE: To quantify the value of maternity health care - the relationship of outcomes to costs - in Queensland during 2012-18. STUDY DESIGN: Retrospective observational study; analysis of Queensland Perinatal Data Collection data linked with the Queensland Health Admitted Patient, Non-Admitted Patient, and Emergency Data Collections, and with the Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) databases. SETTING, PARTICIPANTS: All births in Queensland during 1 July 2012 - 30 June 2018. MAIN OUTCOME MEASURES: Maternity care costs per birth (reported in 2021-22 Australian dollars), both overall and by funder type (public hospital funders, MBS, PBS, private health insurers, out-of-pocket costs); value of care, defined as total cost per positive birth outcome (composite measure). RESULTS: The mean cost per birth (all funders) increased from $20 471 (standard deviation [SD], $17 513) during the second half of 2012 to $30 000 (SD, $22 323) during the first half of 2018; the annual total costs for all births increased from $1.31 billion to $1.84 billion, despite a slight decline in the total number of births. In a mixed effects linear analysis adjusted for demographic, clinical, and birth characteristics, the mean total cost per birth in the second half of 2018 was $9493 higher (99.9% confidence interval, $8930-10 056) than during the first half of 2012. The proportion of births that did not satisfy our criteria for a positive birth outcome increased from 27.1% (8404 births) during the second half of 2012 to 30.5% (9041 births) during the first half of 2018. CONCLUSION: The costs of maternity care have increased in Queensland, and many adverse birth outcomes have become more frequent. Broad clinical collaboration, effective prevention and treatment strategies, as well as maternal health services focused on all dimensions of value, are needed to ensure the quality and viability of maternity care in Australia.

Prioritising and planning scale-up research projects targeting non-communicable diseases: a mixed-method study by the Global Alliance for Chronic Diseases upscaling working group.

INTRODUCTION: Governments must scale-up evidence-based interventions to reduce the burden of non-communicable diseases (NCDs). Implementation research can help develop contextually appropriate strategies and optimise interventions for scale-up. We aimed to determine the priorities of the Global Alliance for Chronic Diseases (GACD) 2019 funding round for scale-up research targeting NCD interventions. The research questions were: (a) What was the purpose of the call and what were the specific issues considered by funders when supporting the selected projects? (b) How did the selected research projects align with the objectives of GACD scale-up call? METHODS: We undertook a mixed-methods study to examine the projects funded by the GACD in 2019. We completed semistructured interviews with representatives from 5 out of 8 funding agencies and complemented this by reviewing project documents from 21 (78%) of the 27 funded studies. A literature review of scale-up frameworks informed the interview guide and data extraction template. The transcripts were open-coded using thematic analysis to identify critical issues for funders. Data were extracted to identify the common elements considered when planning, implementing and evaluating interventions for scale-up. RESULTS: Interviews with the funders revealed three enabling themes related to scale-up: local research priorities (contextualisation through engagement), capacity building (developing knowledge base) and connections (networking opportunities). We further identified that timelines (more flexibility) and equity (funding low-income and middle-income researchers) could be considered for future funding investments. Multidisciplinary international research teams led the development of diverse studies to address funder's priorities. The detailed plans included a range of implementation frameworks to help develop contextual scale-up strategies. CONCLUSIONS: Fundamental to NCD scale-up research are (1) funding opportunities that reflect the complexity and time necessary to enable contextualisation; (2) investment in building multidisciplinary research capacity and leadership and (3) better networking to encourage cohesive action and align NCD-related scale-up research activities globally.