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What are the costs associated with child and maternal healthcare within Australia? A study protocol for the use of data linkage to identify health service use, and health system and patient costs.

ABSTRACT: INTRODUCTION:The current literature in Australia demonstrates that there are variations in access and outcomes in perinatal care based on socioeconomic factors. However, little has been done looking at the level of out-of-pocket healthcare costs associated with perinatal care. The primary aim of this project will be to quantify health service use and out-of-pocket healthcare expenditure associated with childbearing and early childhood in Queensland, Australia. METHODS AND ANALYSIS:This project will build Australia's first model (called Maternal & Child Cost MOD) of out-of-pocket healthcare expenditure by using administrative data from the Queensland Perinatal Data Collection, of all childbearing women and their resultant children, who gave birth in Queensland between 1 July 2012 and 30 June 2016.The current costs to the health system and out-of-pocket health care expenditure of patients associated with maternity and early childhood health care will be identified. The differences in costs based on indigenous identification, socioeconomic status and geographic location will be assessed using linear regression modelling and counterfactual modelling techniques. ETHICS AND DISSEMINATION:Human Research Ethics approval has been obtained from Townsville Hospital and Health Service Human Research Ethics Committee (HREC) (HREC Reference number: HREC/16/QTHS/223). Consent will not be sought from participants whose de-identified data will be used in this study. Permission to waive consent has been gained from Queensland Health under the Public Health Act 2005.The results of this study will be disseminated through publications in peer-reviewed journals and through presentations at conferences, regionally and nationally. Our target audience is clinicians, health professionals and health policy-makers.

SUBMITTER: Callander EJ

PROVIDER: S-EPMC5829863 | biostudies-other | 2018 Feb

REPOSITORIES: biostudies-other

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What are the costs associated with child and maternal healthcare within Australia? A study protocol for the use of data linkage to identify health service use, and health system and patient costs.

Callander Emily J EJ Fox Haylee H

BMJ open 20180206 2

<h4>Introduction</h4>The current literature in Australia demonstrates that there are variations in access and outcomes in perinatal care based on socioeconomic factors. However, little has been done looking at the level of out-of-pocket healthcare costs associated with perinatal care. The primary aim of this project will be to quantify health service use and out-of-pocket healthcare expenditure associated with childbearing and early childhood in Queensland, Australia.<h4>Methods and analysis</h4 ...[more]

PMID: 29437751

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Project description:BackgroundEarly contact with the justice system is associated with a multitude of negative outcomes across the life course. This includes an increased risk of ongoing justice contact, social disadvantage and marginalization, and mental health and substance use issues. Children whose mothers have an alcohol use disorder may be at risk of early justice system contact, and we sought to quantify this relationship in a Western Australian cohort.MethodsThis population cohort study made use of linked administrative data. Those in-scope for the study were women who had a birth recorded on the Midwives Notification System (1983 to 2007). The exposed cohort were mothers who had an alcohol-related diagnosis (ICD9/10), recorded on administrative data. This included mental and behavioral disorders which were alcohol related, diseases which could be entirely attributed to alcohol and other ICD alcohol codes. These women were considered to have an alcohol use disorder, which was a proxy for heavy drinking. The comparison cohort was frequency-matched sample with no alcohol-related diagnosis identified on administrative data sets.ResultsAfter adjusting for potential confounders, children whose mothers had a maternal alcohol use disorder had a significantly increased odds of justice contact when compared to those whose mothers had no diagnosis (odds ratio [OR] = 1.79, 95% confidence interval [CI] = 1.60 to 1.99). Additional significant maternal factors associated with child justice contact included being Indigenous (OR = 5.14, 95% CI = 4.54 to 5.81), low maternal age, low socioeconomic status, being unmarried, and a history of a mental health problems. Significant child-level factors, which were associated with increased odds of justice contact, included being male, a mental health diagnosis, child protection contact, parity, and academic failure.ConclusionsChildren who were exposed to a maternal alcohol use disorder had significantly increased odds of contact with the justice system. Additional risk was associated with being Indigenous and with markers of social disadvantage. These results suggest that prevention and early intervention services should span across agencies in an effort to reduce risk.

Project description:BackgroundEquitable maternal healthcare service access and it's optimum utilization remains a challenge for many developing countries like Bangladesh, and different predisposing, enabling, and need-based factors affect the level of maternal healthcare use. The evidently poor maternal healthcare service utilization and disparities among groups in Bangladesh are concerning considering its effect on maternal health outcomes. The study aimed to identify the factors that influence maternal healthcare service (MHS) utilization in Bangladesh by adopting Andersen's behavior model of health service use as the theoretical framework.MethodsThe 2017-18 Bangladesh Demographic Health Survey (2017-18 BDHS) data were used which is nationally representative. The survey study used two-stage stratified sampling to select study households, and data were collected through face-to-face interviews. The desirable, moderate, and undesirable maternal health service (MHS) package was developed based on antenatal, and delivery care services use during pregnancy and childbirth. Multinomial logistic regression and discriminant analysis were performed to analyze the factors that affect MHS use.ResultsOut of 5,011 ever-married women, only 31.2% of women utilized the desirable level of MHS. The likelihood of using the desirable level of MHS package, relative to the undesirable category, was 9.38 times (OR: 9.38, 95% CI: 4.30-20.44) higher for women with a higher level of education compared to illiterate women, and the same trend was noticed for husband's education. The wealth index had the highest standardized function coefficients (Beta coefficient: 0.49) in discriminatory function. Women with the richest wealth index were more than 23 times (OR: 23.27, 95% CI: 12.69-42.68) likely to have utilized desirable MHS than their poorest counterparts. The likelihood of service uses also varied according to the child's birth order, administrative regions, and area of residence (rural vs. urban).ConclusionsPolicies and interventions directed towards poverty reduction, universal education, and diminishing geographical disparities of healthcare access might influence the desirable use of maternal healthcare services in Bangladesh.

Project description:ObjectivesTo examine associations between child maltreatment and health service use, both overall, by type and by the number of types of maltreatment reported.Design, settingCross-sectional, retrospective survey using the Juvenile Victimization Questionnaire-R2: Adapted Version (Australian Child Maltreatment Study); computer-assisted mobile telephone interviews using random digit dialling, Australia, 9 April - 11 October 2021.ParticipantsAustralians aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from the five age groups (25-34, 35-44, 45-54, 55-64, 65 years or more).Main outcome measuresSelf-reported health service use during the past twelve months: hospital admissions, length of stay, and reasons for admission; and numbers of consultations with health care professionals, overall and by type. Associations between maltreatment and health service use are reported as odds ratios adjusted for age group, gender, socio-economic status, financial hardship (childhood and current), and geographic remoteness.ResultsA total of 8503 participants completed the survey. Respondents who had experienced child maltreatment were significantly more likely than those who had not to report a hospital admission during the preceding twelve months (adjusted odds ratio [aOR], 1.39; 95% confidence interval [CI], 1.16-1.66), particularly admission with a mental disorder (aOR, 2.4; 95% CI, 1.03-5.6). The likelihood of six or more visits to general practitioners (aOR, 2.37; 95% CI, 1.87-3.02) or of a consultation with a mental health nurse (aOR, 2.67; 95% CI, 1.75-4.06), psychologist (aOR, 2.40; 95% CI, 2.00-2.88), or psychiatrist (aOR, 3.02; 95% CI, 2.25-4.04) were each higher for people who reported maltreatment during childhood. People who reported three or more maltreatment types were generally most likely to report greater health service use.ConclusionsChild maltreatment has a major impact on health service use. Early, targeted interventions are vital, not only for supporting children directly, but also for their longer term wellbeing and reducing their health system use throughout life.

Project description:This study explores the relationship between two health financing initiatives on women's progression through the maternal health continuum in Kenya: a subsidized reproductive health voucher programme (2006-16) and the introduction of free maternity services in all government facilities (2013). Using cross-sectional survey data, we ran three multivariable logistic regression models examining the effects of the voucher programme, free maternity policy, health insurance and other determinants on (1) early antenatal care (ANC) initiation (first visit within the first trimester of pregnancy), (2) receiving continuous care (1+ ANC, facility birth, 1+ post-natal care (PNC) check) and (3) completing the maternal health pathway as recommended (4+ ANC, facility birth, 1+ PNC, with first check occurring within 48 h of delivery). Full implementation of the voucher programme was positively associated with receiving continuous care among users of 1+ ANC [interaction term adjusted odds ratio (aOR): 1.33, P = 0.014]. Early ANC initiation (aOR: 1.32, P = 0.001) and use of private sector ANC (aOR: 1.93, P < 0.001) were also positively associated with use of continuous care among ANC users. Among continuous care users, early ANC was associated with increased odds of completing the maternal health pathway as recommended (aOR: 3.80, P < 0.001). Higher parity was negatively associated with all three outcomes, while having health insurance was positively associated with each outcome. The impact of other sociodemographic factors such as maternal age, education, wealth quintile, urban residence, and employment varied by outcome; however, the findings generally suggest that marginalized women faced greater barriers to early ANC initiation and continuity of care. Health financing and women's timing and source of ANC are strongly related to their subsequent progression through the maternal health pathway. To increase continuity of care and improve maternal health outcomes, policymakers must therefore focus on equitably reducing financial and other barriers to care seeking and improving quality of care throughout the continuum.

Project description:ObjectivesExamine the relationship between maternal alcohol use disorder and child school attendance outcomes for non-Indigenous and Indigenous children in Western Australia.DesignPopulation cohort study.SettingRoutinely collected linked administrative health, education and child protection data.ParticipantsThose in-scope for the study were women with a birth recorded on the Western Australian Midwives Notification System (1989-2007). Women who had an alcohol-related diagnosis (International Classification of Diseases Revisions 9/10) recorded on the Hospital Morbidity, Mental Health Inpatients and Outpatients, and Drug and Alcohol Office data sets formed the exposed group. The comparison cohort was frequency-matched to the exposed cohort based on maternal age within Indigenous status and child's year of birth.Primary outcome measureChild's school attendance was obtained from the Department of Education (2008-2012). Poor attendance was defined as <80%?attendance for non-Indigenous children and <60%?attendance for Indigenous children.Results11?430 exposed children and 26?850 unexposed children had a linked attendance record. Maternal alcohol use disorder was significantly associated with increased odds of poor attendance (non-Indigenous: OR=1.61, 95%?CI 1.50 to 1.74; Indigenous: OR=1.66, 95%?CI 1.54 to 1.79). With adjustment for maternal and child factors, there was no significant difference between the timing of alcohol diagnosis relative to pregnancy and attendance outcomes. The population attributable fraction was higher in the Indigenous cohort than the non-Indigenous cohort (6.0% vs 1.3%).ConclusionsMaternal alcohol use disorder was associated with a significantly increased odds of poor school attendance for non-Indigenous and Indigenous children. There was no significant difference between the timing of diagnoses and odds of poor school attendance. This suggests that the effect of maternal alcohol use disorder may not be driven by the neurodevelopmental effects of alcohol exposure in utero, but may be mediated through family or social factors for which we were unable to adjust.

Project description:BackgroundHousehold survey data are frequently used to measure reproductive, maternal, newborn, child and adolescent health (RMNCAH) service utilisation in low and middle income countries. However, these surveys are typically only undertaken every 5 years and tend to be representative of larger geographical administrative units. Investments in district health management information systems (DHMIS) have increased the capability of countries to collect continuous information on the provision of RMNCAH services at health facilities. However, reliable and recent data on population distributions and demographics at subnational levels necessary to construct RMNCAH coverage indicators are often missing. One solution is to use spatially disaggregated gridded datasets containing modelled estimates of population counts. Here, we provide an overview of various approaches to the production of gridded demographic datasets and outline their potential and their limitations. Further, we show how gridded population estimates can be used as alternative denominators to produce RMNCAH coverage metrics in combination with data from DHMIS, using childhood vaccination as examples.MethodsWe constructed indicators on the percentage of children one year old for diphtheria, pertussis and tetanus vaccine dose 3 (DTP3) and measles vaccine dose (MCV1) in Zambia and Nigeria at district levels. For the numerators, information on vaccines doses was obtained from each country's respective DHMIS. For the denominators, the number of children was obtained from 3 different sources including national population projections and aggregated gridded estimates derived using top-down and bottom-up geospatial methods.ResultsIn Zambia, vaccination estimates utilising the bottom-up approach to population estimation substantially reduced the number of districts with > 100% coverage of DTP3 and MCV1 compared to estimates using population projection and the top-down method. In Nigeria, results were mixed with bottom-up estimates having a higher number of districts > 100% and estimates using population projections performing better particularly in the South.ConclusionsGridded demographic data utilising traditional and novel data sources obtained from remote sensing offer new potential in the absence of up to date census information in the estimation of RMNCAH indicators. However, the usefulness of gridded demographic data is dependent on several factors including the availability and detail of input data.

Dataset Information

What are the costs associated with child and maternal healthcare within Australia? A study protocol for the use of data linkage to identify health service use, and health system and patient costs.

Publications

What are the costs associated with child and maternal healthcare within Australia? A study protocol for the use of data linkage to identify health service use, and health system and patient costs.

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