Survivor Mom’s Companion: A Population-Level Program for Pregnant Women Who Are Survivors of Childhood Maltreatment: The Need for a Public Health Approach to Addressing Unresolved Maternal Trauma

2017 ◽  
pp. 197-211
Author(s):  
Michelle Sperlich ◽  
Julia Seng
Keyword(s):  
Public Health ◽  
Pregnant Women ◽  
Childhood Maltreatment ◽  
Population Level ◽  
Public Health Approach ◽  
Maternal Trauma

The public health approach to suicide prevention in Ireland

2021 ◽  
pp. 1-6
Author(s):  
S. Rochford ◽  
P. Dodd ◽  
C. Austin
Keyword(s):  
Public Health ◽  
Suicide Prevention ◽  
Population Level ◽  
Prevention Strategy ◽  
Public Health Approach ◽  
National Strategy ◽  
Extended Phase ◽  
The Public ◽  
National Implementation

Abstract This article provides an overview of the public health approach to suicide in Ireland. The authors provide detail on the current suicide prevention strategy in Ireland, Connecting for Life, which is a whole-of-government, systemic, multicomponent national strategy. As the strategy enters its final extended phase of implementation over the period 2020–2024, the public health elements of Connecting for Life are presented, including the population level and more targeted approaches. The findings of an interim review of the strategy are discussed, in addition to the local and national implementation structures which are in place to assist implementation and monitoring of the strategy.

scholarly journals Epidemiology, public health and the problem of personality disorder

2003 ◽  
Vol 182 (S44) ◽  
pp. s3-s10 ◽  
Author(s):  
Jeremy Coid
Keyword(s):  
Public Health ◽  
Problem Solving ◽  
Personality Disorder ◽  
Public Health Problem ◽  
Population Level ◽  
Case Definition ◽  
Public Health Approach ◽  
Preventive Interventions ◽  
The Public ◽  
Comprehensive Method

BackgroundThe public health problem-solving paradigm is a comprehensive method not previously applied to preventive interventions for personality disorder.AimsTo present an overview for clinical psychiatrists.MethodReview of epidemiological research into DSM–IV Axis II disorders and application to the paradigm.ResultsPersonality disorder affects a substantial proportion of the population. Burdens on health care, social and criminal justice agencies have yet to be accurately quantified. Debates continue over case definition, but there is increasing information on prevalence using ‘broad’ definitions and aetiology. A conceptual framework, based on development, suggests preventive interventions should be targeted in childhood. The public health approach also requires monitoring of risk factors operating at the population level.ConclusionsServices in England and Wales for persons with personality disorder are currently inadequate. The problem-solving paradigm suggests new preventive interventions. Psychiatrists should renegotiate their relationship with policy-makers and reconsider their preventive role.

scholarly journals 8.L. Workshop: The children and parents in focus: Challenges in evaluating a public health approach to parenting

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  
Keyword(s):  
Public Health ◽  
Intervention Program ◽  
Controlled Trial ◽  
Large Population ◽  
Population Level ◽  
Cluster Randomised Controlled Trial ◽  
Parenting Programs ◽  
Public Health Approach ◽  
Children And Parents ◽  
Externalising Problems

Abstract Parenting programs have strong evidence in promoting positive changes in both parents and children and are considered as evidence-based treatments for children with externalising problems such as conduct problems and ADHD. It is expected that a public health approach to parenting - i.e., the availability of parenting programs to all parents regardless of their risk status - will reduce the number of children with externalising problems at the population level. However, the evidence on the effectiveness of this approach is inconclusive. This is largely due to difficulties in conducting the needed large population trials of universal parenting programs. The objective of the workshop is to facilitate a discussion on planning and conducting research projects to successfully evaluate the effectiveness of psychological interventions such as parenting programs when they are offered universally to everyone. We will describe three main challenges in evaluating a public health approach to parenting: difficulties in collecting data from the whole population (and not only those exposed to the intervention), lack of validated instruments to measure population-level impact, and low program exposure. To illustrate our points, we use a population-based cluster randomised controlled trial as an example. The aim of the project - Children and Parents in Focus - was to test the effectiveness of a universally offered parenting program in addressing emotional and behavioural problems in preschool children. The project was carried out for four years in a municipality with 200 000 inhabitants in Sweden. Data were collected from mothers, fathers and teachers of over 7 000 children aged 3 to 5 years. The workshop will include a brief introduction and three presentations. In the first presentation, we focus on recruitment of parents into the study. We discuss the rational for recruiting parents of all children aged 3-5 into the study through child health centres and the steps that we took to increase the number of parents who participated in the study. In the second presentation, we describe the primary outcome measure in the study i.e., the Strengths and Difficulties Questionnaires (SDQ) collected from fathers, mothers and preschool teachers. We discuss how we validated the SDQ for all the three informants and developed a guideline for using the SDQ during routine health check-ups. In the third presentation, we explain our challenges in recruiting parents to the intervention, particularly the restrictions imposed on us by the trial design and describe how we addressed low program participation. After each presentation, the participants will be invited to share their experiences, thoughts and ideas. Their comments will be first collected through a digital interactive platform and then discussed in the room. Key messages Successful evaluation of a public health interventions at the population-level requires ample attention to the recruitment of participants into research and intervention. Program uptake can be increased using simple low cost direct-to-consumer marketing strategies; however, it does take time to build demand for the program.

scholarly journals Depression and Public Health Law

2017 ◽  
Author(s):  
John Coggon
Keyword(s):  
Public Health ◽  
Public Mental Health ◽  
Population Level ◽  
Well Being ◽  
Public Health Approach ◽  
Health Law ◽  
Positive Health ◽  
Public Health Law ◽  
Health Question

This chapter examines arguments for framing and approaching depression as a public health question, paying attention to legal, regulatory, and practical issues. A public health approach focuses on effecting positive health changes through methods of socially coordinated, population-level intervention. Public health agendas aim to prevent or mitigate the incidence of ill health in the first place to promote broader concepts of well-being. This chapter explains a public mental health law approach to depression by addressing two sets of questions: why we would wish to take a public health approach and how we go about it. It presents and expands on a dominant understanding of public health before turning to a broad characterization of public health law, and considering some practicalities of taking a public health approach. It concludes with a discussion of why depression is apt to be framed and addressed as a matter for public health law.

scholarly journals Beyond behaviour as individual choice: A call to expand understandings around social science in health research

2021 ◽  
Vol 6 ◽  
pp. 212
Author(s):  
N Nakkeeran ◽  
Emma Sacks ◽  
Prashanth N Srinivas ◽  
Anika Juneja ◽  
Rakhal Gaitonde ◽  
...  
Keyword(s):  
Public Health ◽  
Population Level ◽  
Public Health Approach ◽  
Individual Choice ◽  
Explicit Integration ◽  
Public Health Programs ◽  
Temporary Solution ◽  
A Chain ◽  
Behavioural Sciences ◽  
Exclusive Focus

The focus of behavioural sciences in shaping behaviour of individuals and populations is well documented. Research and practice insights from behavioural sciences improve our understanding of how people make choices that in turn determine their health, and in turn the health of the population. However, we argue that an isolated focus on behaviour - which is one link in a chain from macro to the micro interventions - is not in sync with the public health approach which per force includes a multi-level interest. The exclusive focus on behaviour manipulation then becomes a temporary solution at best and facilitator of reproduction of harmful structures at worst. Several researchers and policymakers have begun integrating insights from behavioural economics and related disciplines that explain individual choice, for example, by the establishment of Behavioural Insight Teams, or nudge units to inform the design and implementation of public health programs. In order to comprehensively improve public health, we discuss the limitations of an exclusive focus on behaviour change for public health advancement and call for an explicit integration of broader structural and population-level contexts, processes and factors that shape the lives of individuals and groups, health systems and differential health outcomes.

PENERAPAN CLUSTERING PADA PENDUDUK YANG MEMPUNYAI KELUHAN KESEHATAN DENGAN DATAMINING K-MEANS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Nurul Rofiqo ◽  
Agus Perdana Windarto ◽  
Dedy Hartama
Keyword(s):  
Public Health ◽  
Data Mining ◽  
Population Level ◽  
Research Data ◽  
Health Complaints ◽  
Public Health Services ◽  
National Statistics ◽  
Central Java ◽  
Indonesian Population ◽  
The Government

This study aims to utilize Clushtering Algorithm in grouping the number of people who have health complaints with the K-means algorithm in Indonesia. The source of this research data was collected based on the documents of the provincial population which had health complaints produced by the National Statistics Agency. The data used in this study are data from 2013-2017 consisting of 34 provinces. The method used in this research is K-means Algorithm. Data will be processed by clushtering in 3 clushter, namely clusther high health complaints, clusther moderate and low health complaints. Centroid data for high population level clusters 37.48, Centroid data for moderate population level clusters 27.08, and Centroid data for low population level clusters 14.89. So that obtained an assessment based on the population index that has health complaints with 7 provinces of high health complaints, namely Central Java, Yogyakarta, Bali, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, Gorontalo, 18 provinces of moderate health complaints, and 9 other provinces including low health complaints. This can be an input to the government to give more attention to residents in each region who have high health complaints through improving public health services so that the Indonesian population becomes healthier without health complaints.Keywords: data mining, health complaints, clustering, K-means, Indonesian residents

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