Working with families with parental mental health and/or drug and alcohol issues where there are child protection concerns: inter‐agency collaboration

Coates, Dominiek

doi:10.1111/cfs.12238

Cited by 27 publications

(32 citation statements)

References 14 publications

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“…The other key theme that emerged in these interviews pertains to the challenges of working with child protection services, and how collaboration could be improved'. This theme is outlined elsewhere by the first author (Coates, ).…”

Section: Findings and Discussionmentioning

confidence: 99%

“…As a result of the recommendations put forward from this evaluation, changes have been made to the model, in particular around the assessment process, the way in which families and individuals within the family are allocated to workers, and the way in which clinicians collaborate with child protection services. The interviews generated a lot of in‐depth data pertaining to collaboration with child protection services, so these findings have been outlined elsewhere (Coates, ).…”

Section: Findings and Discussionmentioning

confidence: 99%

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Working with Families Who Experience Parental Mental Health and/or Drug and Alcohol Problems in the Context of Child Protection Concerns: Recommendations for Service Improvement

Coates

Howe

2015

Aust N Z J Fam Ther

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Child abuse and neglect often occur within the context of multiple risk factors, in particular parental mental health (MH) and/or drug and alcohol (D&A) problems. Interventions aimed at improving parental MH and D&A issues can have a positive impact on children now, as well as in the future. However, implementing sustainable service models that facilitate positive change for families with multiple risk factors is challenging. The purpose of the present study was to gain feedback from key stakeholders on a service model targeted at families where there are parental D&A, MH and child protection concerns to identify possible strengths and limitations of the model. This identified possible strategies for service improvement from the perspective of discharged clients and clinical staff. Gaining feedback from key stakeholders on service models is increasingly recognised as central to service evaluation and development. Ten interviews were conducted with clinical staff and twenty interviews with discharged clients of a pilot service that works with families where the child or children are at risk of significant harm in the context of parental MH and/or D&A issues. The interviews with clinicians highlighted difficulties working with this complex client group and its impact on staff burnout. Clinicians suggested how the model could be changed to better support clinical staff from burnout. Interviews with discharged clients highlighted the importance of the relationship with the worker in establishing client engagement and facilitating change. The way in which these recommendations informed the design of the service model is discussed.Keywords: service design and improvement, qualitative enquiry, staff burnout, parental mental illness, parental drug and alcohol problems, child protection Key Points1 Families that come into contact with child protection services commonly experience multiple risk factors, in particular parental mental health and/or drug and alcohol problems. 2 Families with these risk factors benefit from interventions that include the whole family in treatment. 3 While much of the evidence-base focuses on first order change, for many of these families more enduring change may come from a change in the family system. 4 Interviews with clinicians highlight the difficulties of working with complex and crisis prone families and its impact on staff burnout. 5 Given the strong relationship between client outcomes and staff wellbeing, how to protect staff against burnout should be a key consideration in the design of service models.

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Section: Findings and Discussionmentioning

confidence: 99%

Section: Findings and Discussionmentioning

confidence: 99%

Working with Families Who Experience Parental Mental Health and/or Drug and Alcohol Problems in the Context of Child Protection Concerns: Recommendations for Service Improvement

Coates

Howe

2015

Aust N Z J Fam Ther

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“…Often relatively extensive data exist on families in official statistics, research reports, social services reports, school and medical records, etc. However, these data are dispersed and hard if not impossible to relate and compare (Coates 2015). This leads to numerous interventions that are conducted without adequate knowledge of target families that are to benefit from these interventions.…”

Section: Introductionmentioning

confidence: 99%

“…Better knowledge could also make it possible to flag down perpetrators or people who are likely to become perpetrators. In many cases the basic data that are needed for intervention decisions exist, but are not available to decision makers due to inadequate communication and lack of data integration, analysis and interpretation, as well as poor, inconsistent and conflicting inter-agency collaboration (Coates 2015;Taplin 2017).…”

Section: Introductionmentioning

confidence: 99%

Decision intelligence in public health – DIONE

2017

Syme, G., Hatton MacDonald, D., Fulton, B. And Piantadosi, J. (Eds) MODSIM2017, 22nd International Congress on Modelling and Si

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Public health surveillance is the ongoing systematic collection, analysis, interpretation, and dissemination of health data for the planning, implementation, and evaluation of public health action. To achieve effective public health interventions, it is pivotal to analyse and interpret the vast amounts of data collected by surveillance systems to enable good understanding of all factors having an impact on health. For example, we can consider child protection, which is an important public health issue. Often relatively extensive data exist on families in official statistics, research reports, social services reports, school and medical records, etc. However, these data are dispersed and hard if not impossible to relate and compare. This leads to numerous interventions that are conducted without adequate knowledge of target families that are to benefit from these interventions. Inadequate knowledge also leads to lack of intervention where it is needed, such as undetected cases of child abuse. In many cases the basic data that are needed for intervention decisions exist, but are not available to decision makers due to inadequate communication and lack of data integration, analysis and interpretation. Chronic condition management is another area where extensive disparate data exist from statistics and various health services and intervention agencies. In this area too there are numerous organizations offering services and a great need to better coordinate these services to achieve better outcomes for patients and also to reduce soaring costs of the healthcare system. We propose DIONE (Decision Intelligence for Organizations in Networked Environments), a decision support system that uses a complex systems approach to offer a means to integrate and maximally exploit all available data to optimize intervention decisions. It will transform dispersed data into relevant information for decision makers. The proposed system has its place on top of existing research and data collection, rather than duplicating any existing research, and will optimize utilization of existing data and research results. DIONE will enable more focussed health and social service interventions to encourage and help people to manage life stages and events, in view of achieving the best possible health and behaviour outcomes. The system will use data mining and analysis techniques such as predictive analytics, text analytics, data mining, machine learning, and Bayesian statistics to integrate and exploit all available quantitative and qualitative data from heterogeneous data sources, such as statistics, social services, schools, medical services, etc., to identify risk factors and people most at risk. This will enable more focussed health and behaviour interventions. The problem with risk factors for health outcomes is that they are in general hard or impossible to observe directly. The proposed data mining techniques will be calibrated with synthetic data, obtained from agent-based simulation or micro-simulation models of the populations to be stud...

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“…The qualitative findings are outlined elsewhere. 7,8 An evaluation of a service to keep children safe in families with mental health and/or substance abuse issues…”

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confidence: 99%

An evaluation of a service to keep children safe in families with mental health and/or substance abuse issues

Coates

Howe

2016

Australas Psychiatry

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Working with families with parental mental health and/or drug and alcohol issues where there are child protection concerns: inter‐agency collaboration

Cited by 27 publications

References 14 publications

Working with Families Who Experience Parental Mental Health and/or Drug and Alcohol Problems in the Context of Child Protection Concerns: Recommendations for Service Improvement

Working with Families Who Experience Parental Mental Health and/or Drug and Alcohol Problems in the Context of Child Protection Concerns: Recommendations for Service Improvement

Decision intelligence in public health – DIONE

An evaluation of a service to keep children safe in families with mental health and/or substance abuse issues

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