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Rodriguez SA, Tiro JA, Baldwin AS, Hamilton-Bevil H, Bowen M. Measurement of Perceived Risk of Developing Diabetes Mellitus: A Systematic Literature Review. J Gen Intern Med 2023; 38:1928-1954. [PMID: 37037984 PMCID: PMC10272015 DOI: 10.1007/s11606-023-08164-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 03/10/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND This systematic review describes approaches to measuring perceived risk of developing type 2 diabetes among individuals without diagnoses and describes the use of theories, models, and frameworks in studies assessing perceived risk. While a systematic review has synthesized perceived risk of complications among individuals with diabetes, no reviews have systematically assessed how perceived risk is measured among those without a diagnosis. METHODS Medline, PubMed, PsycINFO, and CINAHAL databases were searched for studies conducted through October 2022 with measures of perceived risk among adults ≥ 18 years without a diabetes diagnosis. Extracted data included study characteristics, measures, and health behavior theories, models, or frameworks used. RESULTS Eighty-six studies met inclusion criteria. Six examined perceived risk scales' psychometric properties. Eighty measured perceived risk using (1) a single item; (2) a composite score from multiple items or subconstructs; and (3) multiple subconstructs but no composite score. Studies used items measuring "comparative risk," "absolute or lifetime risk," and "perceived risk" without defining how each differed. Sixty-four studies used cross-sectional designs. Twenty-eight studies mentioned use of health behavior theories in study design or selection of measures. DISCUSSION There was heterogeneity in how studies operationalized perceived risk; only one third of studies referenced a theory, model, or framework as guiding design or scale and item selection. Use of perceived lifetime risk, absolute risk, or comparative risk limits comparisons across studies. Consideration of context, target population, and how data are utilized is important when selecting measures; we present a series of questions to ask when selecting measures for use in research and clinical settings. This review is the first to categorize how perceived risk is measured in the diabetes prevention domain; most literature focuses on perceived risk among those with diabetes diagnoses. Limitations include exclusion of non-English and gray literature and single reviewer screening and data extraction.
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Affiliation(s)
- Serena A. Rodriguez
- Department of Health Promotion & Behavioral Sciences, The University of Texas Health Science Center Houston (UTHealth Houston) School of Public Health, Trinity Towers, 2777 N Stemmons Fwy, Ste 8400, TX 75207 Dallas, USA
- UTHealth Houston School of Public Health, Center for Health Promotion & Prevention Research, 7000 Fannin Street, Houston, TX 77030 USA
| | - Jasmin A. Tiro
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Ave., Chicago, IL 60637 USA
- University of Chicago Medicine Comprehensive Cancer Center, 5841 S. Maryland Avenue, Chicago, IL 60637 USA
| | - Austin S. Baldwin
- Department of Psychology, Southern Methodist University, Expressway Tower, PO Box 750442, Dallas, TX 75275 USA
| | - Hayley Hamilton-Bevil
- University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr., San Antonio, TX 75229 USA
| | - Michael Bowen
- Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390 USA
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Goh MCW, Kelly PJ, Deane FP. Enhancing Type 2 diabetes risk communication with message framing and tailored risk feedback: an online randomised controlled trial. AUSTRALIAN JOURNAL OF PSYCHOLOGY 2021. [DOI: 10.1080/00049530.2021.1997554] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Melvin C. W. Goh
- School of Psychology, Faculty of Social Sciences, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
| | - Peter J. Kelly
- School of Psychology, Faculty of Social Sciences, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
| | - Frank P. Deane
- School of Psychology, Faculty of Social Sciences, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
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Lin J, Myers MF, Wilkinson AV, Koehly LM. Activating Communal Coping Related to Diabetes Risk in Mexican-Heritage Families. FAMILY & COMMUNITY HEALTH 2020; 42:245-253. [PMID: 31403985 PMCID: PMC6699749 DOI: 10.1097/fch.0000000000000234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
We investigate how interpersonal ties influence communication about type 2 diabetes risk and encouragement to maintain or adopt a healthy lifestyle between family members of Mexican heritage, after a family history-based risk assessment intervention. Results suggest that individuals are more likely to initiate risk communication with another family member if they are close to, already seek advice from, or discuss health with him or her. Risk communication precedes encouragement, which is initiated by the older generation of the family. Understanding the role of interpersonal relationships in Mexican-heritage families can help identify who best to target in future health behavior interventions.
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Affiliation(s)
- Jielu Lin
- Department of Sociology, Northern Arizona University, Flagstaff, Arizona (Dr Lin); National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland (Drs Lin and Koehly); Cincinnati Children's Hospital Medical Center & Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio (Dr Myers); and Department of Epidemiology, Human Genetics and Environmental Science, University of Texas School of Public Health, Austin, Texas (Dr Wilkinson)
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4
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Ebert DD, Franke M, Kählke F, Küchler A, Bruffaerts R, Mortier P, Karyotaki E, Alonso J, Cuijpers P, Berking M, Auerbach RP, Kessler RC, Baumeister H. Increasing intentions to use mental health services among university students. Results of a pilot randomized controlled trial within the World Health Organization's World Mental Health International College Student Initiative. Int J Methods Psychiatr Res 2019; 28:e1754. [PMID: 30456814 PMCID: PMC6877244 DOI: 10.1002/mpr.1754] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 09/28/2018] [Accepted: 10/12/2018] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND The majority of university students with mental health problems are untreated. Only a small empirical literature exists on strategies to increase mental health service use. AIMS To investigate the effects and moderators of a brief acceptance-facilitating intervention on intention to use mental health services among university students. METHOD Within the German site of the World Health Organization's World Mental Health International College Student (WMH-ICS) initiative, 1,374 university students were randomized to an intervention condition (IC; n = 664) or a control condition (CC; n = 710) that was implemented in the survey itself. Both conditions received the questions assessing mental disorders and suicidality that were included in other WMH-ICS surveys. The IC group then additionally received: Internet-based personalized feedback based on subject symptom severity in the domains of depression, anxiety, substance use, suicidal thoughts and behaviors, and nonsuicidal self-injury; psychoeducation tailored to the personal symptom profile; and information about available university and community mental health services. The primary outcome was reported intention to use psychological interventions in the next semester, which was the last question in the survey. A broad range of potential moderating factors was explored. RESULTS There was a significant main effect of the intervention with students randomized to IC, reporting significantly higher intentions to seek help in the next semester than students in the CC condition (d = 0.12, 95% CI: 0.02 to 0.23). Moderator analyses indicated that the intervention was more effective among students that fulfilled the criteria for lifetime (d = 0.34; 95% CI: -0.08 to 0.7) and 12-month panic-disorder (d = 0.32; 95% CI: -0.10 to 0.74) compared with those without lifetime (d = 0.11; 95% CI: 0.00 to 0.22) or 12-month panic disorder (d = 0.11; 95% CI: 0.00 to 0.22), students with lower (d = 0.37; 95% CI: -0.77 to 1.51) than higher (d = -0.01; 95% CI: -0.36 to 0.34) self-reported physical health, and students with nonheterosexual (d = 0.38; 95% CI: 0.08 to 0.67) compared with heterosexual (d = 0.06; 95% CI: -0.06 to 0.17) sexual orientation. The intervention had no effects among students who reported that they recognized that they had an emotional problem and "are already working actively to change it" (Stage 4 "stages of change"). CONCLUSIONS A simple acceptance-facilitating intervention can increase intention to use mental health services, although effects, are on average, small. Future studies should investigate more personalized approaches with interventions tailored to barriers and clinical characteristics of students. In order to optimize intervention effects, the development and evaluation should be realized in designs that are powered to allow incremental value of different intervention components and tailoring strategies to be evaluated, such as in multiphase optimization designs.
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Affiliation(s)
- David Daniel Ebert
- Department of Clinical Psychology and PsychotherapyUniversity of Erlangen‐NurembergErlangenGermany
| | - Marvin Franke
- Department of Clinical Psychology and PsychotherapyUniversity of Erlangen‐NurembergErlangenGermany
| | - Fanny Kählke
- Department of Clinical Psychology and PsychotherapyUniversity of Erlangen‐NurembergErlangenGermany
| | - Ann‐Marie Küchler
- Department for Clinical Psychology and PsychotherapyUlm UniversityUlmGermany
| | - Ronny Bruffaerts
- Public Health PsychiatryKU Leuven; Universitair Psychiatrisch Centrum KU LeuvenLeuvenBelgium
| | - Philippe Mortier
- Research Group Psychiatry, Department of NeurosciencesKU Leuven UniversityLeuvenBelgium
| | - Eirini Karyotaki
- Department of Clinical PsychologyVU Amsterdam and Amsterdam Public Health InstituteAmsterdamThe Netherlands
| | - Jordi Alonso
- Health Services Research UnitIMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Pompeu Fabra University (UPF), Barcelona, Spain; CIBER en Epidemiología y Salud Pública (CIBERESP)MadridSpain
| | - Pim Cuijpers
- Department of Clinical PsychologyVU Amsterdam and Amsterdam Public Health InstituteAmsterdamThe Netherlands
| | - Matthias Berking
- Department of Clinical Psychology and PsychotherapyUniversity of Erlangen‐NurembergErlangenGermany
| | - Randy P. Auerbach
- Department of PsychiatryColumbia University, New York, USA; Division of Clinical Developmental Neuroscience, Sackler InstituteNew YorkNew York
| | - Ronald C. Kessler
- Department of Health Care PolicyHarvard Medical SchoolBostonMassachusetts
| | - Harald Baumeister
- Department for Clinical Psychology and PsychotherapyUlm UniversityUlmGermany
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Thomas S, Hovick S, Tan N, Sturm A, Sweet K. How Online Family History Tool Design and Message Content Impact User Perceptions: An Examination of Family Health Link. Public Health Genomics 2018; 21:53-66. [DOI: 10.1159/000493847] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 09/18/2018] [Indexed: 11/19/2022] Open
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Gamp M, Schupp HT, Renner B. Risk Perceptions After Receiving Multiple Risk Feedback. PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN 2018; 44:1350-1363. [PMID: 29716423 DOI: 10.1177/0146167218767877] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
How do people respond to multiple risk feedback in a real-life context? Based on theoretical assumptions, three different predictions for risk perceptions were tested: (a) relative accuracy in risk perceptions, (b) self-defensive responses according to self-affirmation theory, and (c) compensatory responses according to the compensatory health belief model. Participants of a community health screening ( N = 725) received multiple risk indicator feedback for actual blood pressure, blood glucose, and blood lipid levels. Consistent multiple risk feedback profiles encompassed three consistent readings (three normal or three elevated readings). Mixed risk profiles included one elevated and two normal readings. Results indicate relative accuracy in responses: an elevated reading triggered higher risk perception of the respective risk factor. Importantly, the effect was not modulated by the presence of normal readings as assumed by the self-defensive or compensatory response perspective, indicating that people accurately integrate multiple risk indicator feedback as it is often provided in real life.
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Skapinsky KF, Persky S, Lewis M, Goergen A, Ashida S, de Heer HD, Hadley D, Wilkinson AV, Koehly LM. Heart disease risk information, encouragement, and physical activity among Mexican-origin couples: Self- or spouse-driven change? Transl Behav Med 2018; 8:95-104. [PMID: 29385582 PMCID: PMC6065544 DOI: 10.1093/tbm/ibx012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Family health history is an accessible, clinically-recommended genomic tool that improves health risk evaluation. It captures both genetic and modifiable risk factors that cluster within families. Thus, families represent a salient context for family health history-based interventions that motivate engagement in risk-reducing behaviors. While previous research has explored how individuals respond to their personal risk information, we extend this inquiry to consider how individuals respond to their spouse's risk information among a sample of Mexican-Americans. One hundred and sixty spouse-dyads within Mexican-heritage households received a pedigree or a pedigree and personalized risk assessments, with or without behavioral recommendations. Analyses of Covariance (ANCOVAs) were conducted to assess the relationship between risk feedback, both personal and spouse, and self-reported physical activity levels at 3-month and 10-month assessments, controlling for baseline levels. The effect of being identified as an encourager of spouse's healthy weight was also evaluated. Personal feedback had no effect on participants' physical activity at either 3- or 10-month assessments. However, husbands' risk information was associated with wives' physical activity levels at 3-month assessment, with women whose husbands received both increased risk feedback and behavioral recommendations engaging in significantly higher physical activity levels than all other women. At 10-month follow-up, physical activity levels for both husbands and wives differed depending on whether they encouraged their spouse's healthy weight. Spousal risk information may be a stronger source of motivation to improve physical activity patterns than personal risk information, particularly for women. Interventions that activate interpersonal encouragement among spouses may more successfully extend intervention effects.
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Affiliation(s)
- Kaley F Skapinsky
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Susan Persky
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Megan Lewis
- Patient and Family Engagement Research Program, Center for Communication Science, RTI International, Seattle, WA, USA
| | - Andrea Goergen
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sato Ashida
- Community and Behavioral Health, College of Public Health, The University of Iowa, Iowa City, IA, USA
| | - Hendrik D de Heer
- Health Sciences Department, College of Health and Human Services, Northern Arizona University, Flagstaff, AZ, USA
| | - Donald Hadley
- Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Anna V Wilkinson
- Epidemiology, Human Genetics & Environmental Sciences, University of Texas School of Public Health, Austin Regional Campus, University of Texas Health Sciences Center at Houston, Austin, TX, USA
| | - Laura M Koehly
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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8
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Hovick SR, Bevers TB, Vidrine JI, Kim S, Dailey PM, Jones LA, Peterson SK. User Perceptions and Reactions to an Online Cancer Risk Assessment Tool: a Process Evaluation of Cancer Risk Check. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2017; 32:141-147. [PMID: 26546305 PMCID: PMC4860160 DOI: 10.1007/s13187-015-0939-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Online cancer risk assessment tools, which provide personalized cancer information and recommendations based on personal data input by users, are a promising cancer education approach; however, few tools have been evaluated. A randomized controlled study was conducted to compare user impressions of one tool, Cancer Risk Check (CRC), to non-personalized educational information delivered online as series of self-advancing slides (the control). CRC users (N = 1452) rated the tool to be as interesting as the control (p > .05), but users were more likely to report that the information was difficult to understand and not applicable to them (p < .05). Information seeking and sharing also were lower among CRC users; thus, although impressions of CRC were favorable, it was not shown to be superior to existing approaches. We hypothesized CRC was less effective because it contained few visual and graphical elements; therefore, CRC was compared to a text-based control (online PDF file) post hoc. CRC users rated the information to be more interesting, less difficult to understand, and better able to hold their attention (p < .05). Post hoc results suggest the visual presentation of risk is critical to tool success.
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Affiliation(s)
- Shelly R Hovick
- The Ohio State University, 154 N. Oval Mall, Columbus, OH, 43210, USA.
| | - Therese B Bevers
- The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Jennifer Irvin Vidrine
- Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Stephanie Kim
- The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Phokeng M Dailey
- The Ohio State University, 154 N. Oval Mall, Columbus, OH, 43210, USA
| | - Lovell A Jones
- Prairie View A&M University, 100 University Dr, Prairie View, TX, 77446, USA
| | - Susan K Peterson
- The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
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Sweet K, Hovick S, Sturm AC, Schmidlen T, Gordon E, Bernhardt B, Wawak L, Wernke K, McElroy J, Scheinfeldt L, Toland AE, Roberts JS, Christman M. Counselees' Perspectives of Genomic Counseling Following Online Receipt of Multiple Actionable Complex Disease and Pharmacogenomic Results: a Qualitative Research Study. J Genet Couns 2016; 26:738-751. [PMID: 27921197 DOI: 10.1007/s10897-016-0044-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 10/26/2016] [Indexed: 10/20/2022]
Abstract
Genomic applications raise multiple challenges including the optimization of genomic counseling (GC) services as part of the results delivery process. More information on patients' motivations, preferences, and informational needs are essential to guide the development of new, more efficient practice delivery models that capitalize on the existing strengths of a limited genetic counseling workforce. Semi-structured telephone interviews were conducted with a subset of counselees from the Coriell Personalized Medicine Collaborative following online receipt of multiple personalized genomic test reports. Participants previously had either in-person GC (chronic disease cohort, n = 20; mean age 60 years) or telephone GC (community cohort, n = 31; mean age 46.8 years). Transcripts were analyzed using a Grounded Theory framework. Major themes that emerged from the interviews include 1) primary reasons for seeking GC were to clarify results, put results into perspective relative to other health-related concerns, and to receive personalized recommendations; 2) there is need for a more participant driven approach in terms of mode of GC communication (in-person, phone, video), and refining the counseling agenda pre-session; and 3) there was strong interest in the option of follow up GC. By clarifying counselees' expectations, views and desired outcomes, we have uncovered a need for a more participant-driven GC model when potentially actionable genomic results are received online.
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Affiliation(s)
- Kevin Sweet
- Division of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA.
| | - Shelly Hovick
- School of Communication, Ohio State University, Columbus, OH, 43214, USA
| | - Amy C Sturm
- Division of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA.,Dorothy M. Davis Heart and Lung Research Institute, Ohio State University Wexner Medical Center, Columbus, OH, 43420, USA
| | - Tara Schmidlen
- Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA
| | | | - Barbara Bernhardt
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lisa Wawak
- Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA
| | - Karen Wernke
- Division of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA
| | - Joseph McElroy
- Department of Biomedical Informatics, Center for Biostatistics, Columbus, OH, 43221, USA
| | - Laura Scheinfeldt
- Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA.,Temple University, SERC Building 1925 N. 12th St, Philadelphia, PA, 19122-1801, USA
| | - Amanda E Toland
- Division of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA
| | - J S Roberts
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Michael Christman
- Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA
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Imes CC, Dougherty CM, Lewis FM, Austin MA. Outcomes of a Pilot Intervention Study for Young Adults at Risk for Cardiovascular Disease Based on Their Family History. J Cardiovasc Nurs 2016; 31:433-40. [PMID: 27518372 PMCID: PMC4988329 DOI: 10.1097/jcn.0000000000000261] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Lifestyle choices have a significant impact on cardiovascular disease (CVD) risk. Interventions to promote a heart-healthy lifestyle in young adults at long-term high risk for CVD are needed to decrease the burden of CVD. However, few interventions with this purpose have been developed. OBJECTIVE The objective of this study was to examine the effect of a pilot intervention on young adults with a family history of CVD that used 3-generation pedigrees, risk factor information, and counseling on heart disease knowledge, perceived CVD risk, and intention to engage in a heart-healthy lifestyle. METHODS A pretest-posttest design, with within-group analysis, was used to examine the effect of the intervention. Paired t test and Wilcoxon signed rank tests were used to examine the changes in heart disease knowledge, perceived risk, and behavioral intention from baseline to postintervention. The Cohen d was calculated to examine the effect of the intervention on study measures. In addition, Spearman ρ was used to examine the associations between postintervention perceived risk, postintervention behavioral intention, and family history. RESULTS The sample for the pilot study included 15 mostly white and mostly female healthy young adults between the ages of 18 and 25 years. The intervention was effective at increasing CVD knowledge (P = .02) and had a medium effect on perceived risk and intention to engage in a heart-healthy lifestyle (Cohen d, 0.48-0.58). There were significant associations between postintervention perceived risk and postintervention intention to exercise and the participants' family history of coronary heart disease (r = 0.62, P = .014 and r = 0.55, P = .035, respectively). CONCLUSIONS Interventions are needed to increase individuals' awareness of their long-term CVD risk and to improve their ability to make lifestyle changes. Although this intervention was only tested in a small sample, it shows promise to improve heart disease knowledge and perceived lifetime CVD risk and may effect longer-term risk for CVD.
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Affiliation(s)
- Christopher C Imes
- Christopher C. Imes, PhD, RN Assistant Professor, School of Nursing, Department of Acute and Tertiary Care, University of Pittsburgh, Pennsylvania.Cynthia M. Dougherty, PhD, ARNP, FAHA, FAAN Professor, School of Nursing, Department of Biobehavioral Nursing and Health Systems, University of Washington, Seattle, Washington.Frances Marcus Lewis, PhD, FAAN Professor, School of Nursing, Department of Family and Child Nursing, University of Washington, Seattle, Washington.Melissa A. Austin, MS, PhD Professor Emeritus, School of Public Health, Department of Epidemiology, University of Washington, Seattle, Washington
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Koehly LM, Morris BA, Skapinsky K, Goergen A, Ludden A. Evaluation of the Families SHARE workbook: an educational tool outlining disease risk and healthy guidelines to reduce risk of heart disease, diabetes, breast cancer and colorectal cancer. BMC Public Health 2015; 15:1120. [PMID: 26566980 PMCID: PMC4643512 DOI: 10.1186/s12889-015-2483-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Accepted: 11/10/2015] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Common diseases such as heart disease, diabetes, and cancer are etiologically complex with multiple risk factors (e.g., environment, genetic, lifestyle). These risk factors tend to cluster in families, making families an important social context for intervention and lifestyle-focused disease prevention. The Families Sharing Health Assessment and Risk Evaluation (SHARE) workbook was designed as an educational tool outlining family health history based risk of heart disease, type 2 diabetes, breast cancer, and colorectal cancer. The current paper describes the steps taken to develop and evaluate the workbook employing a user-centered design approach. METHODS The workbook was developed in four steps, culminating in an evaluation focusing on understanding and usability of the tool. The evaluation was based on two Phases of data collected from a sample of mothers of young children in the Washington, D.C., area. A baseline assessment and follow-up approximately two weeks after receipt of the workbook were conducted, as well as focus groups with participants. The design of the workbook was refined in response to participant feedback from the first evaluation Phase and subsequently re-evaluated with a new sample. RESULTS After incorporating user-based feedback and revising the workbook, Phase 2 evaluation results indicated that understanding of the workbook components improved for all sections (from 6.26 to 6.81 on a 7-point scale). In addition, 100% of users were able to use the algorithm to assess their disease risk and over 60% used the algorithm to assess family members' disease risk. At follow-up, confidence to increase fruit, vegetable and fiber intake improved significantly, as well. CONCLUSIONS The Families SHARE workbook was developed and evaluated resulting in a family health history tool that is both understandable and usable by key stakeholders. This educational tool will be used in intervention studies assessing the effectiveness of family genomics health educators who use the Families SHARE workbook to disseminate family risk information and encourage risk reducing behaviors. TRIAL REGISTRATION ClinicalTrials.gov, NCT01498276 . Registered 21 December 2011.
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Affiliation(s)
- Laura M Koehly
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
| | - Bronwyn A Morris
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
| | - Kaley Skapinsky
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
| | - Andrea Goergen
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
| | - Amanda Ludden
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
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12
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Wang C, Sen A, Plegue M, Ruffin MT, O'Neill SM, Rubinstein WS, Acheson LS. Impact of family history assessment on communication with family members and health care providers: A report from the Family Healthware™ Impact Trial (FHITr). Prev Med 2015; 77:28-34. [PMID: 25901453 PMCID: PMC4508012 DOI: 10.1016/j.ypmed.2015.04.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2014] [Revised: 04/06/2015] [Accepted: 04/13/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVE This study examines the impact of Family Healthware™ on communication behaviors; specifically, communication with family members and health care providers about family health history. METHODS A total of 3786 participants were enrolled in the Family Healthware™ Impact Trial (FHITr) in the United States from 2005-7. The trial employed a two-arm cluster-randomized design, with primary care practices serving as the unit of randomization. Using generalized estimating equations (GEE), analyses focused on communication behaviors at 6month follow-up, adjusting for age, site and practice clustering. RESULTS A significant interaction was observed between study arm and baseline communication status for the family communication outcomes (p's<.01), indicating that intervention had effects of different magnitude between those already communicating at baseline and those who were not. Among participants who were not communicating at baseline, intervention participants had higher odds of communicating with family members about family history risk (OR=1.24, p=0.042) and actively collecting family history information at follow-up (OR=2.67, p=0.026). Family Healthware™ did not have a significant effect on family communication among those already communicating at baseline, or on provider communication, regardless of baseline communication status. Greater communication was observed among those at increased familial risk for a greater number of diseases. CONCLUSION Family Healthware™ prompted more communication about family history with family members, among those who were not previously communicating. Efforts are needed to identify approaches to encourage greater sharing of family history information, particularly with health care providers.
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Affiliation(s)
- Catharine Wang
- Department of Community Health Sciences, Boston University School of Public Health, Boston, USA.
| | - Ananda Sen
- Department of Biostatistics, University of Michigan, Ann Arbor, USA; Department of Family Medicine, University of Michigan, Ann Arbor, USA
| | - Melissa Plegue
- Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, USA; Department of Family Medicine, University of Michigan, Ann Arbor, USA
| | - Mack T Ruffin
- Department of Family Medicine, University of Michigan, Ann Arbor, USA
| | - Suzanne M O'Neill
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Evanston, USA
| | - Wendy S Rubinstein
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, USA
| | - Louise S Acheson
- Departments of Family Medicine & Community Health and Reproductive Biology, Case Western Reserve University and Case Comprehensive Cancer Center, University Hospitals Case Medical Center, Cleveland, USA
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Malen R, Knerr S, Delgado F, Fullerton SM, Thompson B. Rural Mexican-Americans' perceptions of family health history, genetics, and disease risk: implications for disparities-focused research dissemination. J Community Genet 2015; 7:91-6. [PMID: 26141228 DOI: 10.1007/s12687-015-0245-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 06/22/2015] [Indexed: 11/25/2022] Open
Abstract
Disseminating the results of transdisciplinary health disparities research will increasingly involve discussing family health history and/or genetic information with study participants and their communities. Often, individuals' familiarity and comfort with these topics will be unclear. To inform the dissemination activities of a Center for Population Health and Health Disparities (CPHHD) studying multilevel determinants of breast cancer disparities in Latinas, we talked with Spanish-speaking Mexican-Americans from a rural agricultural community about family health history, genetics, and disease risk. We found that participants had limited genetic literacy but were familiar with some concepts related to family health history. Participants emphasized the role of individual behavior in shaping health and expressed a strong desire for health-related information. This included genetic information about future disease risk, which participants were previously unaware of but thought could be useful for disease prevention. These findings suggest that for research dissemination to facilitate health promotion, gaps in knowledge, particularly genetic knowledge, will need to be overcome. Outreach to underserved Latino communities should take advantage of this existing knowledge of family health history and strong desire for health information, but also take care to not overstate the significance of unreplicated or low-penetrance genetic associations.
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Affiliation(s)
- Rachel Malen
- Cancer Prevention Program, Fred Hutchinson Cancer Research, Seattle, WA, USA
| | - Sarah Knerr
- Cancer Prevention Program, Fred Hutchinson Cancer Research, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | | | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Box 357120, Seattle, WA, 98195, USA.
| | - Beti Thompson
- Cancer Prevention Program, Fred Hutchinson Cancer Research, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
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