A two-part model to estimate inpatient, outpatient, prescribing and care home costs associated with atrial fibrillation in Scotland

Ciminata, Giorgio; Geue, Claudia; Langhorne, Peter; Wu, Olívia

doi:10.1136/bmjopen-2018-028575

Cited by 18 publications

(17 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Healthcare expenditure data have mixed distributions, characterized by a disproportionate proportion of zero‐cost observations (nonusers) and a right‐skewed distribution 10 . Therefore, we introduced a two‐part model to identify what factors affect costs and to predict breast cancer costs with known patient factors 11–13 . All data analysis was conducted separately for stage I–III and stage IV cancers.…”

Section: Methodsmentioning

confidence: 99%

What affects the public healthcare costs of breast cancer in New Zealand?

Lao

Mondal

Kuper‐Hommel

et al. 2022

Asia-Pac J Clncl Oncology

View full text Add to dashboard Cite

Backgrounds The pressure to the healthcare system for providing ongoing monitoring and treatment for breast cancer survivors is increasing. This study aims to identify the factors that affect the public healthcare costs of stage I–III breast cancer and stage IV cancer in New Zealand. Methods We identified women diagnosed with invasive breast cancer between July 1, 2010 and June 30, 2018 and who received services in a public hospital. Patients were identified from the National Breast Cancer Register and/or New Zealand Cancer Registry and were linked to the national administrative datasets. A two‐part model was used to identify the factors that affect the public healthcare costs of stage I–III breast cancer and stage IV cancer. Results We identified 16,977 stage I–III and 1,093 stage IV breast cancer patients eligible for this study. The costs of stage I–III cancer in the second to fifth year post diagnosis decreased over time, and the costs of stage IV cancer in the first year post diagnosis increased over time. After adjustment for other factors, the costs of stage I–IV cancer decreased with age but increased with cancer stage. HER2+ cancers had the highest costs, followed by triple negative cancers. After adjustment for other factors, Pacific and Asian women had lower costs, and Māori had similar costs compared to others. For stage I–III cancers, women living in nonmajor urban areas had a higher chance of incurring costs in follow‐up years, and screen detected patients and patients having any services in a private hospital had a decreased probability of receiving any public healthcare services. Conclusions Pacific women had higher costs than others, but after adjustment for cancer stage, subtype, and other factors, they had lower costs than others. The early detection and better management of stage I–III breast cancer can lead to better outcome and lower costs in follow‐up years.

show abstract

Section: Methodsmentioning

confidence: 99%

What affects the public healthcare costs of breast cancer in New Zealand?

Lao

Mondal

Kuper‐Hommel

et al. 2022

Asia-Pac J Clncl Oncology

View full text Add to dashboard Cite

show abstract

“…Handling such data using linear regression without taking cognisance of the many zeros could pose challenges regarding the difficulties in deriving error terms that are normal ( Belotti et al., 2015 ; Carboni, 2012 ). We used two approaches in the literature to address the problem: inverse hyperbolic sine transformation of the dependent variable ( Bellemare and Wichman, 2019 ; Burbidge et al., 1988 ; Lavin et al., 2017 ; MacKinnon and Magee, 1990 ; Pence, 2006 ) and two-part mixture models ( Cragg, 1971 ; Ciminata et al., 2020 ; Duan et al., 1984 ; Lee et al., 2019 ; Mihaylova et al., 2011 ).…”

Section: Methodsmentioning

confidence: 99%

“…The two-part model requires fitting a binary choice model for the probability of observing a positive-versus-zero outcome. Subsequently, based on a positive outcome, a regression model is estimated for the positive outcome ( Belotti et al., 2015 ; Ciminata et al., 2020 ; Zhao et al., 2020 ). Following Lee et al.…”

Section: Methodsmentioning

confidence: 99%

What drives citations of frontier application publications?

Djokoto

Agyei-Henaku

Afrane-Arthur

et al. 2020

Heliyon

View full text Add to dashboard Cite

A large body of literature exists on analysis of citation and reviews of application of efficiency frontier. However, the reviews that assessed the determinants of citation counts did not focus on frontier applications. We contribute to the literature by identifying the drivers of citations of frontier application publications on Ghana. We employed two-part mixture modelling with inverse hyperbolic sine (IHS) transformation of the second part, which was found to be more appropriate than single equation IHS transformation modelling, for our data. Use of stochastic frontier analysis or data envelopment analysis did not drive citations counts. However, quality of journals in which frontier application studies were published and accessibility of the journals to readers, drive citation counts. Authors, institutions and funders of studies on frontier applications may consider these over collaborations, in seeking growth in citation counts.

show abstract

“…Multimorbidity is defined as the coexistence of two or more chronic diseases in a person ( 2 , 3 ), with global prevalence ranging from 12.9% (the whole population) to 95.1% (those aged 65 years and older) ( 4 ), while the prevalence in low-and-middle-income countries (LMICs) is on the rise ( 5 – 7 ). Multimorbidity is closely related to disability, decreased quality of life, premature death, unplanned hospitalizations, and increased consumption of health resources, which imposes a heavy strain on individuals and healthcare systems ( 7 , 8 ).…”

Section: Introductionmentioning

confidence: 99%

Utilization and out-of-pocket expenses of primary care among the multimorbid elderly in China: A two-part model with nationally representative data

Chen

Liu

2022

Front. Public Health

View full text Add to dashboard Cite

BackgroundMultimorbidity has become an essential public health issue that threatens human health and leads to an increased disease burden. Primary care is the prevention and management of multimorbidity by providing continuous, comprehensive patient-centered services. Therefore, the study aimed to investigate the determinants of primary care utilization and out-of-pocket expenses (OOPE) among multimorbid elderly to promote rational utilization of primary care and reduce avoidable economic burdens.MethodsThe study used data from CHARLS 2015 and 2018, which included a total of 4,384 multimorbid elderly aged 60 and above. Guided by Grossman theory, determinants such as education, gender, marriage, household economy, and so on were included in this study. A two-part model was applied to evaluate primary care utilization and OOPE intensity in multimorbid populations. And the robustness testing was performed to verify research results.ResultsPrimary care visits rate and OOPE indicated a decline from 2015 to 2018. Concerning primary outpatient care, the elderly who were female (OR = 1.51, P < 0.001), married (OR = 1.24, P < 0.05), living in rural areas (OR = 1.77, P < 0.001) and with poor self-rated health (OR = 2.23, P < 0.001) had a significantly higher probability of outpatient utilization, whereas those with middle school education (OR = 0.61, P < 0.001) and better household economy (OR = 0.96, P < 0.001) had a significantly less likelihood of using outpatient care. Rural patients (β = −0.72, P < 0.05) may have lower OOPE, while those with better household economy (β = 0.29, P < 0.05; β = 0.58, P < 0.05) and poor self-rated health (β = 0.62, P < 0.001) occurred higher OOPE. Regarding primary inpatient care, adults who were living in rural areas (OR = 1.48, P < 0.001), covered by Urban Employee Basic Medical Insurance (UEBMI) or Urban Rural Basic Medical Insurance (URBMI) (OR = 2.46, P < 0.001; OR = 1.81, P < 0.001) and with poor self-rated health (OR = 2.30, P < 0.001) had a significantly higher probability of using inpatient care, whereas individuals who were female (OR = 0.74, P < 0.001), with middle school education (OR = 0.40, P < 0.001) and better household economy (OR = 0.04, P < 0.001) had a significantly lower tendency to use inpatient care. Significantly, more OOPE occurred by individuals who were women (β = 0.18, P < 0.05) and with better household economy (β = 0.40, P < 0.001; β = 0.62, P < 0.001), whereas those who were covered by URBMI (β = −0.25, P < 0.05) and satisfied with their health (β = −0.21, P < 0.05) had less OOPE.ConclusionTo prompt primary care visits and reduce economic burden among subgroups, more policy support is in need, such as tilting professional medical staff and funding to rural areas, enhancing awareness of disease prevention among vulnerable groups and so on.

show abstract

A two-part model to estimate inpatient, outpatient, prescribing and care home costs associated with atrial fibrillation in Scotland

Cited by 18 publications

References 20 publications

What affects the public healthcare costs of breast cancer in New Zealand?

What affects the public healthcare costs of breast cancer in New Zealand?

What drives citations of frontier application publications?

Utilization and out-of-pocket expenses of primary care among the multimorbid elderly in China: A two-part model with nationally representative data

Contact Info

Product

Resources

About