Helen Hodges
Biographic Data
| ID | 3863719 |
|---|---|
| NAME | Helen Hodges |
| GIVEN NAMES | Helen |
| FAMILY NAME | Hodges |
| SIGNATURE | HODGES H |
| AFFILIATIONS | Cardiff University |
| ORCID | 0000-0001-7118-4490 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Maximising existing assets
Bayesian approaches provide a fresh lens to consider the interaction between various characteristics and circumstances of children who have offended, and their likelihood of committing further offences over time. This has been done here by revisiting data captured as part of the risk assessment process used until the mid-2010s across England and Wales to consider how the probability of further offending behaviour differs depending upon whether th…
Outcomes for high-risk young people referred to secure children’s homes for welfare reasons
Purpose Secure children’s homes (SCHs) restrict the liberty of young people considered to be a danger to themselves or others. However, not all young people referred to SCHs find a placement, and little is known about the outcomes of the young person after an SCH or alternative placement. The purpose of this paper is to understand which characteristics most likely predict allocation to an SCH placement, and to explore the outcomes of the young pe…
Why social work needs to embrace data linkage research
Purpose Linked data can provide unique insights into both the need for social care services and the outcomes of intervention. Crucially, these insights will be based on much more representative coverage of the population of people receiving social care than is achieved by surveys and they are not subject to the reporting bias that can arise in relation to stigmatised services. Design/methodology/approach The opportunities are expanding for linkin…
Why are there higher rates of children looked after in Wales
Purpose The purpose of this paper is to consider some possible reasons for the relatively high rate in Wales of children looked after by local authorities. Design/methodology/approach Selected potential explanations for Wales having higher rates were tested against aggregate data from published 2021 Government statistics. Wales was compared with England and English regions for area deprivation, local authority spending, placements at home and kin…
How data science can advance mental health research
Outcomes for high-risk young people referred to secure children’s homes for welfare reasons
Purpose Secure children’s homes (SCHs) restrict the liberty of young people considered to be a danger to themselves or others. However, not all young people referred to SCHs find a placement, and little is known about the outcomes of the young person after an SCH or alternative placement. The purpose of this paper is to understand which characteristics most likely predict allocation to an SCH placement, and to explore the outcomes of the young pe…
Why social work needs to embrace data linkage research
Purpose Linked data can provide unique insights into both the need for social care services and the outcomes of intervention. Crucially, these insights will be based on much more representative coverage of the population of people receiving social care than is achieved by surveys and they are not subject to the reporting bias that can arise in relation to stigmatised services. Design/methodology/approach The opportunities are expanding for linkin…
Why are there higher rates of children looked after in Wales
Purpose The purpose of this paper is to consider some possible reasons for the relatively high rate in Wales of children looked after by local authorities. Design/methodology/approach Selected potential explanations for Wales having higher rates were tested against aggregate data from published 2021 Government statistics. Wales was compared with England and English regions for area deprivation, local authority spending, placements at home and kin…
How data science can advance mental health research
How data science can advance mental health research
Why are there higher rates of children looked after in Wales
Purpose The purpose of this paper is to consider some possible reasons for the relatively high rate in Wales of children looked after by local authorities. Design/methodology/approach Selected potential explanations for Wales having higher rates were tested against aggregate data from published 2021 Government statistics. Wales was compared with England and English regions for area deprivation, local authority spending, placements at home and kin…
Outcomes for high-risk young people referred to secure children’s homes for welfare reasons
Purpose Secure children’s homes (SCHs) restrict the liberty of young people considered to be a danger to themselves or others. However, not all young people referred to SCHs find a placement, and little is known about the outcomes of the young person after an SCH or alternative placement. The purpose of this paper is to understand which characteristics most likely predict allocation to an SCH placement, and to explore the outcomes of the young pe…
Why social work needs to embrace data linkage research
Purpose Linked data can provide unique insights into both the need for social care services and the outcomes of intervention. Crucially, these insights will be based on much more representative coverage of the population of people receiving social care than is achieved by surveys and they are not subject to the reporting bias that can arise in relation to stigmatised services. Design/methodology/approach The opportunities are expanding for linkin…
Maximising existing assets
Bayesian approaches provide a fresh lens to consider the interaction between various characteristics and circumstances of children who have offended, and their likelihood of committing further offences over time. This has been done here by revisiting data captured as part of the risk assessment process used until the mid-2010s across England and Wales to consider how the probability of further offending behaviour differs depending upon whether th…
Political science (4 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Demography (2 works) · Demography (2 works) · Engineering (2 works) · Geriatric Care and Nursing Homes (2 works) · Health disparities and outcomes (2 works) · Intergenerational Family Dynamics and Caregiving (2 works)