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Dive into the research topics where Lawrence A. Palinkas is active.

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Featured researches published by Lawrence A. Palinkas.


Administration and Policy in Mental Health | 2015

Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research

Lawrence A. Palinkas; Sarah M. Horwitz; Carla A. Green; Jennifer P. Wisdom; Naihua Duan; Kimberly Hoagwood

Purposeful sampling is widely used in qualitative research for the identification and selection of information-rich cases related to the phenomenon of interest. Although there are several different purposeful sampling strategies, criterion sampling appears to be used most commonly in implementation research. However, combining sampling strategies may be more appropriate to the aims of implementation research and more consistent with recent developments in quantitative methods. This paper reviews the principles and practice of purposeful sampling in implementation research, summarizes types and categories of purposeful sampling strategies and provides a set of recommendations for use of single strategy or multistage strategy designs, particularly for state implementation research.


Administration and Policy in Mental Health | 2007

Implementation of Evidence-based Practice in Child Welfare: Service Provider Perspectives

Gregory A. Aarons; Lawrence A. Palinkas

Implementation of evidence-based practices (EBP) in child welfare is a complex process that is often fraught with unanticipated events, conflicts, and resolutions. To some extent, the nature of the process, problems, and solutions may be dependent on the perspectives and experiences of a given stakeholder group. In order to better understand the implementation process in the child-welfare system, we interviewed comprehensive home-based services (CHBS) case managers who were actively engaged in implementing an EBP to reduce child neglect in a state youth services system. Six primary factors were identified as critical determinants of EBP implementation: (1) Acceptability of the EBP to the caseworker and to the family, (2) Suitability of the EBP to the needs of the family, (3) Caseworker motivations for using the EBP, (4) Experiences with being trained in the EBP, (5) Extent of organizational support for EBP implementation, and (6) Impact of EBP on process and outcome of services. These factors reflect two broader themes of attitudes toward or assessments of the EBP itself and experiences with learning and delivering the EBP. Eventual implementation is viewed as the consequence of perseverance, experience, and flexibility.


The Lancet | 1993

Plasma cholesterol and depressive symptoms in older men

R.E. Morgan; Lawrence A. Palinkas; Elizabeth Barrett-Connor; DeborahL. Wingard

In several clinical trials of interventions designed to lower plasma cholesterol, reductions in coronary heart disease mortality have been offset by an unexplained rise in suicides and other violent deaths. We have tried to find out whether depressive illness is related to low plasma cholesterol concentrations in men of 50 years and older. In 1985-87, Beck depression inventories were obtained from 1020 white men, aged 50-89 years, in the Rancho Bernardo, California, cohort. Disease history and behaviours were assessed by standard questionnaires. Plasma cholesterol and weight were measured at this time, as they had been in 1972-74. Among men aged 70 years and older, categorically defined depression was three times more common in the group with low plasma cholesterol (< 4.14 mmol/L) than in those with higher concentrations (5/31 [16%] vs 22/363 [6%]; p = 0.033). Depressive symptom scores correlated significantly and inversely with plasma cholesterol concentrations, even after adjustment for age, health status, number of chronic illnesses, number of medications, and exercise, as well as measured weight loss and change in plasma cholesterol in the previous 13 years. Our finding that low plasma cholesterol is associated with depressive symptoms in elderly men is compatible with observations that a very low total cholesterol may be related to suicide and violent death. Since cholesterol lowering in the general population is widely recommended, this observation warrants further investigation.


Focus on Autism and Other Developmental Disabilities | 2005

Early Intervention Practices for Children With Autism: Descriptions From Community Providers:

Aubyn C. Stahmer; Nicole M. Collings; Lawrence A. Palinkas

Across the country, states are reporting increases in the number of children With autism enrolled in the education system. Although a feW specific treatment methods have been established as efficacious for some children With autism in controlled settings, research examining the translation of these treatments into early intervention programs has been minimal. The current study examined provider self-reports of the use of interventions in community settings through focus groups. Providers report the use of both evidence-based and non—evidence-based techniques and indicate that they often combine and modify these techniques based on child, personal, and external factors. FeW providers had a clear understanding of evidence-based practice, and all providers reported concerns about adequate training. Implications for early intervention research are discussed.


Diabetes Care | 2008

Influence of Race, Ethnicity, and Culture on Childhood Obesity: Implications for Prevention and Treatment: A consensus statement of Shaping America's Health and the Obesity Society

Sonia Caprio; Stephen R. Daniels; Adam Drewnowski; Francine R. Kaufman; Lawrence A. Palinkas; Arlan L. Rosenbloom; Jeffrey B. Schwimmer

Obesity may be thought of as a body weight that conveys significant risk for adverse health outcomes. In children, obesity is defined as a BMI at or above the 95th percentile for age and sex, based on population data from the 1970s (1,2). The prevalence of obesity has increased markedly in U.S. children and adolescents in the past 30 years. Obesity-related risk factors and diseases formerly seen only in adults are increasingly being recognized in obese adolescents and even younger children. Race and ethnicity are terms used to categorize populations on the basis of shared characteristics. Race has traditionally been used to categorize populations on the basis of shared biological characteristics such as genes, skin color, and other observable features. Ethnicity is used to categorize on the basis of cultural characteristics such as shared language, ancestry, religious traditions, dietary preferences, and history. Although ethnic groups can share a range of phenotypic characteristics due to their shared ancestry, the term is typically used to highlight cultural and social characteristics instead of biological ones (3). Both race and ethnicity are, in fact, social constructs. The assumption that race reflects only biological distinctions is inaccurate. Categories based on race account for only 3–7% of total human genetic diversity, are not reliably measured, and are not always biologically meaningful (3,4). Furthermore, both race and ethnicity are constantly evolving concepts, making the task of comparing groups or following the same group over time quite challenging. For instance, the increasing proportion of the U.S. population describing their race as “mixed” or “other,” as well as changes in ethnic self-identification across generations and occasionally even within the same generation, makes it difficult to assign individuals to invariant categories of race or ethnicity. Nevertheless, the social importance given to these constructs to describe …


Obesity | 2008

Influence of Race, Ethnicity, and Culture on Childhood Obesity: Implications for Prevention and Treatment

Sonia Caprio; Stephen R. Daniels; Adam Drewnowski; Francine R. Kaufman; Lawrence A. Palinkas; Arlan L. Rosenbloom; Jeffrey B. Schwimmer; M. Sue Kirkman

Obesity may be thought of as a body weight that conveys significant risk for adverse health outcomes. In children, obesity is defined as a BMI at or above the 95th percentile for age and sex, based on population data from the 1970s (1,2). The prevalence of obesity has increased markedly in US children and adolescents in the past 30 years. Obesity-related risk factors and diseases formerly seen only in adults are increasingly being recognized in obese adolescents and even younger children. Race and ethnicity are terms used to categorize populations on the basis of shared characteristics. Race has traditionally been used to categorize populations on the basis of shared biological characteristics such as genes, skin color, and other observable features. Ethnicity is used to categorize on the basis of cultural characteristics such as shared language, ancestry, religious traditions, dietary preferences, and history. Although ethnic groups can share a range of phenotypic characteristics due to their shared ancestry, the term is typically used to highlight cultural and social characteristics instead of biological ones (3). Both race and ethnicity are, in fact, social constructs. The assumption that race reflects only biological distinctions is inaccurate. Categories based on race account for only 3–7% of total human genetic diversity, are not reliably measured, and are not always biologically meaningful (3,4). Furthermore, both race and ethnicity are constantly evolving concepts, making the task of comparing groups or following the same group over time quite challenging. For instance, the increasing proportion of the US population describing their race as “mixed” or “other,” as well as changes in ethnic selfidentification across generations and occasionally even within the same generation, makes it difficult to assign individuals to invariant categories of race or ethnicity. Nevertheless, the social importance given to these constructs to describe groups that have been treated in similar ways based on presumed biological characteristics, as well as the acknowledgment that such classifications themselves have contributed to inequalities in health and health care access, necessitates that we continue to use the terms race and ethnicity. Although childhood obesity is increasing in all ethnic and racial groups, its prevalence is higher in non-white populations. The reasons for the differences in prevalence of childhood obesity among groups are complex, likely involving genetics, physiology, culture, socioeconomic status (SES), environment, and interactions among these variables as well as others not fully recognized. Understanding the influence of these variables on the patterns of eating and physical activity that lead to obesity will be critical to developing public policies and effective clinical interventions to prevent and treat childhood obesity. To address the evidence base and gaps in knowledge in this area, Shaping America’s Health and the Obesity Society convened a consensus development conference on 9–11 April 2008. Following presentations by invited speakers and in-depth discussions, a seven-member panel of experts in pediatric endocrinology, cardiology, gastroenterology, nutrition, epidemiology, and anthropology developed this consensus statement on the influence of race, ethnicity, and culture on childhood obesity, addressing the following questions:


Research on Social Work Practice | 2007

Translational Science at the National Institute of Mental Health: Can Social Work Take Its Rightful Place?

John S. Brekke; Kathleen Ell; Lawrence A. Palinkas

Several recent national reports have noted that there is a 20-year gap between knowledge generated from our best clinical research and the utilization of that knowledge in our health and mental health care sectors. One solution to this dilemma has been the emergence of translational science. Translational science has become a top priority of the National Institute of Mental Health. The goal of translational science in mental health is to speed the use of findings from our best science into usual-care settings and to build partnerships between research and practice constituencies. The purpose of this article is to define translational science for social work, to provide a framework for translational research, and to outline an agenda of activity that will allow social work to become a significant driver in the translational research agenda in mental health services.


Journal of Clinical Epidemiology | 1990

CHRONIC ILLNESS AND DEPRESSIVE SYMPTOMS IN THE ELDERLY: A POPULATION-BASED STUDY

Lawrence A. Palinkas; Deborah L. Wingard; Elizabeth Barrett-Connor

A cross-sectional study of the distribution of depressive symptoms and association between depressed mood and chronic illness was conducted in a geographically defined population in southern California of 1617 men and women aged 65 years and older. The prevalence of depressed mood for the total population was 5.2%. Women exhibited a significantly higher mean depressive symptom score and a prevalence rate almost twice that of men. Depressive symptoms were associated with several risk factors in both sexes, including age, self-perception of current health status, number of reported chronic diseases and medications and amount of exercise. However, the relationship between physical illness and depressive symptoms appeared to differ by sex with respect to the nature of the disease or disability and the type of medication currently used. These findings indicate that the risk of depression does not diminish with age among the elderly as other studies have suggested.


BMJ | 1994

Low blood pressure and depression in older men: a population based study

Elizabeth Barrett-Connor; Lawrence A. Palinkas

Abstract Objective : To determine if an association exists between low blood pressure and depressive symptoms in older men living in the community. Design : Cross sectional, population based study. Setting : Town of Rancho Bernardo, California, United States. Subjects : 846 men aged 60-89 years. Comparisons between hypotensive, normotensive, and hypertensive groups were limited to 594 men not taking drugs for hypertension. Main Outcome Measures : Mean scores on Beck depression inventory and prevalence of scores >= 13. Results - Men with diastolic blood pressure <75 mm Hg had significantly higher depression scores (mean scores 6.35 v 4.96; P<0.001) and more categorical depression (7.6% v 1.8% with scores >=13; P<0.01) than men with diastolic blood pressure levels between 75 and 85 mm Hg. Men with diastolic blood pressure levels >85 mm Hg had higher depression scores than men with intermediate blood pressure levels (mean scores 5.85 v 4.96; P<0.05). Men with diastolic hypotension scored significantly higher on both affective and somatic item subscales of the Beck depression inventory and on individual measures of fatigue, pessimism, sadness, loss of appetite, weight loss, and preoccupation with health. Low diastolic blood pressure was a significant predictor of both mean depression score and prevalence of categorical depression, independent of age and change in weight since the baseline visit. The presence of several chronic diseases was associated with depressed mood and higher blood pressure but not with low blood pressure. Conclusion : The association of relatively low diastolic blood pressure with higher depressive symptom scores and rates of categorical depression was independent of age or weight loss. Since fatigue is a prominent symptom of depression, any association of low blood pressure with fatigue could reflect depressive disorders or clinically important depression.


Implementation Science | 2012

Dynamic adaptation process to implement an evidence-based child maltreatment intervention

Gregory A. Aarons; Amy E. Green; Lawrence A. Palinkas; Shannon Self-Brown; Daniel J. Whitaker; John R. Lutzker; Jane F. Silovsky; Debra Hecht; Mark Chaffin

BackgroundAdaptations are often made to evidence-based practices (EBPs) by systems, organizations, and/or service providers in the implementation process. The degree to which core elements of an EBP can be maintained while allowing for local adaptation is unclear. In addition, adaptations may also be needed at the system, policy, or organizational levels to facilitate EBP implementation and sustainment. This paper describes a study of the feasibility and acceptability of an implementation approach, the Dynamic Adaptation Process (DAP), designed to allow for EBP adaptation and system and organizational adaptations in a planned and considered, rather than ad hoc, way. The DAP involves identifying core elements and adaptable characteristics of an EBP, then supporting implementation with specific training on allowable adaptations to the model, fidelity monitoring and support, and identifying the need for and solutions to system and organizational adaptations. In addition, this study addresses a secondary concern, that of improving EBP model fidelity assessment and feedback in real-world settings.MethodsThis project examines the feasibility, acceptability, and utility of the DAP; tests the degree to which fidelity can be maintained using the DAP compared to implementation as usual (IAU); and examines the feasibility of using automated phone or internet-enabled, computer-based technology to assess intervention fidelity and client satisfaction. The study design incorporates mixed methods in order to describe processes and factors associated with variations in both how the DAP itself is implemented and how the DAP impacts fidelity, drift, and adaptation. The DAP model is to be examined by assigning six regions in California (USA) to either the DAP (n = 3) or IAU (n = 3) to implement an EBP to prevent child neglect.DiscussionThe DAP represents a data-informed, collaborative, multiple stakeholder approach to maintain intervention fidelity during the implementation of EBPs in the field by providing support for intervention, system, and organizational adaptation and intervention fidelity to meet local needs. This study is designed to address the real-world implications of EBP implementation in public sector service systems and is relevant for national, state, and local service systems and organizations.

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John Landsverk

Boston Children's Hospital

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Kathleen Ell

University of Southern California

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Dilip V. Jeste

University of California

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