Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/136263
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Type: | Journal article |
Title: | The Hospital Burden Associated With Intergenerational Contact With the Welfare System in Australia |
Author: | Procter, A.M. Chittleborough, C.R. Pilkington, R.M. Pearson, O. Montgomerie, A. Lynch, J.W. |
Citation: | JAMA Network Open, 2022; 5(8):1-14 |
Publisher: | American Medical Association (AMA) |
Issue Date: | 2022 |
ISSN: | 2574-3805 2574-3805 |
Statement of Responsibility: | Alexandra M. Procter, Catherine R. Chittleborough, Rhiannon M. Pilkington, Odette Pearson, Alicia Montgomerie, John W. Lynch |
Abstract: | Importance: Intergenerational welfare contact is a policy issue because of the personal and social costs of entrenched disadvantage; yet, few studies have quantified the burden associated with intergenerational welfare contact for health. Objective: To examine the proportion of individuals who experienced intergenerational welfare contact and other welfare contact types and to estimate their cause-specific hospital burden. Design, Setting, and Participants: This cohort study used a whole-of-population linked administrative dataset of individuals followed from birth to age 20 years using deidentified data from the Better Evidence Better Outcomes Linked Data platform (Australian Government Centrelink [welfare payments], birth registration, perinatal birth records, and inpatient hospitalizations). Participants included individuals born in South Australia from 1991 to 1995 and their parents. Analysis was undertaken from January 2020 to June 2022. Exposures: Using Australian Government Centrelink data, welfare contact was defined as 1 or more parents receiving a means-tested welfare payment (low-income, unemployment, disability, or caring) when children were aged 11 to 15 years, or youth receiving payment at ages 16 to 20 years. Intergenerational welfare contact was defined as welfare contact occurring in both parent and offspring generations. Offspring were classified as: no welfare contact, parent-only welfare contact, offspring-only welfare contact, or intergenerational welfare contact. Main Outcomes and Measures: Hospitalization rates and cumulative incidence were estimated by age, hospitalization cause, and welfare contact group. Results: A total of 94 358 offspring (48 589 [51.5%] male) and 143 814 parents were included in analyses. The study population included 32 969 offspring (34.9%) who experienced intergenerational welfare contact. These individuals were more socioeconomically disadvantaged at birth and had the highest hospitalization rate (133.5 hospitalizations per 1000 person-years) compared with individuals with no welfare contact (46.1 hospitalizations per 1000 person-years), individuals with parent-only welfare contact (75.0 hospitalizations per 1000 person-years), and individuals with offspring-only welfare contact (87.6 hospitalizations per 1000 person-years). Hospitalizations were frequently related to injury, mental health, and pregnancy. For example, the proportion of individuals with intergenerational welfare contact who had experienced at least 1 hospitalization at ages 16 to 20 years was highest for injury (9.0% [95% CI, 8.7%-9.3%]). Conclusions and Relevance: In this population-based cohort study, individuals who experienced intergenerational welfare contact represented one-third of the population aged 11 to 20 years. Compared with individuals with parent-only welfare contact, individuals with intergenerational welfare contact were more disadvantaged at birth and had 78% higher hospitalization rates from age 11 to 20 years, accounting for more than half of all hospitalizations. Frequent hospitalization causes were injuries, mental health, and pregnancy. This study provides the policy-relevant estimate for what it could mean to break cycles of disadvantage for reducing hospital burden. |
Keywords: | Humans Hospitalization Length of Stay Cohort Studies Pregnancy Adolescent Child Infant, Newborn Hospitals Australia Female Male |
Rights: | © 2022 Procter AM et al. JAMA Network Open. This is an open access article distributed under the terms of the CC-BY License. |
DOI: | 10.1001/jamanetworkopen.2022.26203 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/570120 http://purl.org/au-research/grants/nhmrc/1099422 http://purl.org/au-research/grants/nhmrc/1056888 http://purl.org/au-research/grants/nhmrc/013029 |
Published version: | http://dx.doi.org/10.1001/jamanetworkopen.2022.26203 |
Appears in Collections: | Public Health publications |
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