- Research article
- Open Access
Are public health professionals prepared for public health genomics? A cross-sectional survey in Italy
BMC Health Services Research volume 14, Article number: 239 (2014)
Public health genomics is an emerging multidisciplinary approach, which aims to integrate genome-based knowledge in a responsible and effective way into public health. Despite several surveys performed to evaluate knowledge, attitudes and professional behaviors of physicians towards predictive genetic testing, similar surveys have not been carried out for public health practitioners. This study is the first to assess knowledge, attitudes and training needs of public health professionals in the field of predictive genetic testing for chronic diseases.
A self-administered questionnaire was used to carry out a cross-sectional survey of a random sample of Italian public health professionals.
A response rate of 67.4% (797 questionnaires) was achieved. Italian public health professionals have the necessary attitudinal background to contribute to the proper use of predictive genetic testing for chronic diseases, but they need additional training to increase their methodological knowledge. Knowledge significantly increases with exposure to predictive genetic testing during postgraduate training (odds ratio (OR) = 1.74, 95% confidence interval (CI) = 1.05–2.88), time dedicated to continuing medical education (OR = 1.53, 95% CI = 1.14–2.04) and level of English language knowledge (OR = 1.36, 95% CI = 1.07–1.72). Adequate knowledge is the strongest predictor of positive attitudes from a public health perspective (OR = 3.98, 95% CI = 2.44–6.50). Physicians show a lower level of knowledge and more public health attitudes than other public health professionals do. About 80% of public health professionals considered their knowledge inadequate and 86.0% believed that it should be improved through specific postgraduate training courses.
Specific and targeted training initiatives are needed to develop a skilled public health workforce competent in identifying genomic technology that is ready for use in population health and in modeling public health genomic programs and primary care services that need to be developed, implemented and evaluated.
The decade following the completion of the human genome project has been marked by divergent claims about the utility of genomics for public health purposes. Some public health advocates contend that interventions based on environmental changes will be more effective than those focused on individual behavior change. By contrast, those supportive of a role for public health genomics argue that increasing knowledge of genomics and molecular pathology could unlock effective diagnostic techniques and treatments, as well as better target public health interventions [1–6].
Public health practitioners from academic, government and other organizations have taken a proactive leadership role in assessing the relevance of DNA technology to population health and to community health interventions [7–10]. Among the priorities of the public health genomics movement, there is the assurance of an adequate public health capacity on genomics [11–13]. Appropriate capacity building and the development of a skilled public health workforce competent in the differentiation between genomic technology that is ready for use in population health and technology that is not ready for prime time is a fundamental issue to ensure the appropriate use of genomic information for health promotion and prevention of diseases. Predictive genetics have currently few applications in clinical practice, but the scenario is likely to change in the future. In Italy, as well as in other countries, predictive tests have raised interest in public health, particularly in the case of high-penetrance genetic variants associated with common types of cancer (breast/ovarian and colorectal cancer) and familiar hypercholesterolemia. These predictive genetic tests, if used appropriately, have been demonstrated to be efficacious and cost-effective .
Many surveys have been conducted to assess knowledge, attitudes and professional behavior of physicians toward predictive genetic testing for chronic diseases [15–37]. This study is the first to be carried out on public health practitioners. It was conducted in Italy, where a specific public health genomics policy is being developed . Predictive medicine is one of the four macro-areas of intervention of the 2010–2012 National Preventive Plan, which foresees the drawing up of a dedicated National Plan for Public Health Genomics (PHG-NP). This national plan, which defines the actions to be taken at central level in order to implement a stewardship governance model to best translate genomics in clinical practice, has been recently approved .
A link to a self-administered anonymous online questionnaire was e-mailed in 2010 to 1,200 public health professionals randomly selected from the register of the Italian Society of Hygiene, Preventive Medicine and Public Health (S.It.I.). An accompanying cover letter outlined the details of the study and assured the participants of anonymity. The online questionnaire could only be submitted once per person. Up to two reminder e-mails containing the link to the online questionnaire were sent to non-responders 3 and 6 months after the initial e-mail. To maximize the response rate, telephone calls were made to all subjects before each of the follow-up mailings. A total of 60 public health professionals could not be contacted by telephone because their numbers were not available.
The design of the study allowed the research team to identify non-responders and to compare their demographic and professional characteristics with those of the responders. After the comparisons were made, the identification codes were destroyed, thereby maintaining total anonymity for all participants.
The study was in compliance with the Declaration of Helsinki and ethical approval was obtained by the Ethical Committee of Azienda Policlinico Umberto I (Rome, Italy).
The questionnaire (see the complete questionnaire in the Additional file 1 for more details) comprised a series of questions designed to assess socio-demographic and professional characteristics, knowledge and public health attitudes towards predictive genetic tests for chronic diseases, and self-estimated level of knowledge and training needs.
Knowledge about predictive genetic tests for chronic diseases was investigated through seven questions using a three-point Likert scale (“agree”, “uncertain”, and “disagree”). The same Likert three-point scale was used to assess the participants’ public health attitudes, i.e. attitudes that may predispose individuals to adopt or reject specific public health-related behaviors . Public health professionals were finally asked to assess their own level of knowledge on a four-point scale (“inadequate”, “sufficient”, “good”, and “excellent”) and answer four questions (each with “yes/no” answers) on training needs.
Extensive pre-administration piloting was conducted with a convenience sample of 40 physicians similar to the study population to ensure practicability, validity and interpretation of answers. On the basis of the comments and suggestions obtained from the pilot study, the questionnaire was revised before distribution to the study sample. Instrument revision included changes to questionnaire item wording and format. Items were only included in the survey instrument if there was consensus on their meaning.
Multiple logistic regression was performed to identify predictors of knowledge (Model 1) and positive public health attitudes (Model 2). For the purpose of analysis, the outcome variables “knowledge” and “attitudes” originally consisting of multiple categories were collapsed into two levels. In brief, for the knowledge variable, responders were divided into those who agreed with all correct responses versus all others, while for attitudes, public health practitioners were grouped into those who showed a positive public health attitude in all questions versus all others. The following predictor variables were initially tested in both models: geographical area of professional activity; gender; age; medical degree; professional activity; exposure to predictive genetic testing during undergraduate/postgraduate courses; knowledge of the English language; internet access in the workplace; hours per week dedicated to continuing medical education; and reception in the previous year of specific informative from institutional sources. In the model concerning attitudes, the variable “adequate knowledge of genetic testing”—dichotomized as above—was also included.
Multiple logistic regression models were built using the strategy suggested by Hosmer and Lemeshow . Each variable was examined by univariate analysis using the appropriate statistical test (Student’s t-test or χ2 test), and was included in the model when the P-value was less than 0.25. Subsequently, multivariate logistic regression with backward elimination of any variable that did not contribute to the model on the grounds of the Likelihood Ratio test (cut-off, P = 0.05) was performed. Variables whose exclusion altered the coefficient of the remaining variables were kept in the model. Interaction terms were tested using a cut-off significance level of 0.15. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. All statistical calculations were performed using Stata version 8.0 (Stata Corporation, College Station, TX, USA).
Out of the original sample of 1,200 public health professionals 797 answered giving an overall response rate of 67.4% (see Table 1 for demographic and professional characteristics of the responding public health professionals). Responders and non-responders were comparable in terms of demographic and professional characteristics (gender, age, type of degree and professional activity; P >0.05). Most responders were female (53.9% vs. 52.6% of non-responders), with a mean age of 47.5 (±10.9) years (48.7 years for non-responders), had a medical degree (79.7% vs. 75.9%) and were employed in Public Health Services of the Italian National Health Service (64.1% vs. 69.0%).
No statistically significant differences were detected between our sample and the study population, since 52.8% of the S.It.I. members are female and have a similar age distribution (S.It.I., personal communication, 2012). The proportions of S.It.I. members with a medical degree and employed in Public Health Services of the Italian NHS were 77.1% and 66.4%, respectively.
A minority of responders were exposed to predictive genetic testing during undergraduate (20.3%) or postgraduate (24.3%) training. Knowledge of the English language appeared to be relatively poor, as 41.4% of subjects indicated “very low” or “low” levels of English. The majority of the sample (55.2%) dedicated 1–5 hours per week to continuing medical education. Less than one third of the responders (26.9%) received specific informative about predictive genetic testing from institutional sources in the previous year (Table 1).
Knowledge of predictive genetic testing for chronic diseases appeared adequate among public health professionals in Italy (Table 2). Almost all responders recognized that predictive genetic tests could identify individuals at higher risk of developing diseases, and the majority correctly agreed with definitions of analytic validity (70.6%), clinical validity (63.0%) and clinical utility (68.0%) of predictive genetic tests. Three-quarters of the sample acknowledged the importance of genetic counseling, but only half were aware of the availability of evidence-based recommendations/guidelines for some predictive genetic tests (Table 2). Only 10.2% of the responders answered all seven questions about predictive genetic testing correctly and this knowledge was significantly associated with exposure to predictive genetic testing during postgraduate training (OR = 1.74, 95% CI = 1.05–2.88), with time dedicated to continuing medical education (OR = 1.53, 95% CI = 1.14–2.04) and with level of English language knowledge (OR = 1.36, 95% CI = 1.07–1.72). Being a physician was a negative predictor of adequate knowledge (OR = 0.54, 95% CI = 0.32–0.92) (Model 1 in Table 3).
Most of responders showed positive attitudes—from a public health perspective—towards predictive genetic testing for chronic diseases (Table 4). The majority of the responders disagreed that predictive genetic tests should be introduced into clinical and public health practice even without health interventions with proven efficacy (57.9%) and 55.7% of them agreed that predictive genetic testing should be performed only if there is evidence of cost-effectiveness. The vast majority of public health professionals recognized that predictive genetic testing should be included in wider prevention strategies taking into account other available health interventions (90.5%) and acknowledged the importance of ethical, legal and social implications (82.5%) (Table 4). A total of 24.3% of public health professionals showed a positive public health attitude in all six questions, and this dichotomization was used to identify as significant predictors (i) adequate knowledge (OR = 3.98, 95% CI = 2.44–6.50), (ii) exposure to predictive genetic testing during underunder training (OR = 1.53, 95% CI = 1.03–2.26) and (iii) time dedicated to continuing medical education (OR = 1.31, 95% CI = 1.06–1.61). Physicians were more likely to show positive public health attitudes than other public health professionals were (OR = 2.17, 95% CI = 1.34–3.51) (Model 2 in Table 3).
About 80% of public health professionals considered their knowledge on predictive genetic testing for chronic diseases to be inadequate. The majority of responders agreed there is a need for increased training on predictive genetic testing for chronic diseases during undergraduate (90.8%) or postgraduate courses (94.6%). Almost all responders (94.6%) believed that their knowledge should be improved, and 86.0% believed that specific post-training courses in predictive genetic testing for chronic diseases should be implemented (data not shown).
A specific health policy concerning public health genomics is currently being developed in Italy by the Ministry of Health . A dedicated National Plan for Public Health Genomics (PHG-NP) has recently been drawn-up that addresses in depth how to translate genomics knowledge into public health . To achieve the strategic objectives of the PHG-NP, systematic health technology assessment of predictive genetic test for complex diseases, promotion of genomic education among physicians and the general public and the development of capacity building among all potential stakeholders for the health care appropriate provision and management of predictive genetic testing will be needed. The public health community is therefore called at playing a proactive role to integrate genome-based knowledge into public health in a responsible and effective way, also anticipating in a certain way the increase in the health service requirements that is likely to occur in the future .
To our knowledge, this survey is the first to be conducted on public health practitioners. The results show that the Italian public health community has the necessary attitudinal background to contribute to the proper use of predictive genetic testing for chronic diseases, but that an additional training to increase methodological knowledge is needed. Despite more positive public health attitudes, public health physicians have more gaps in their knowledge than other public health professionals (who are mainly biologists), reflecting possible deficiencies in the genetics components of current medical curricula in Italy. Compared with Italian physicians, who previously showed significant training needs in the field of efficacy, effectiveness and economic evaluation of health interventions [42, 43], public health attitudes towards predictive genetic testing appear to be more positive among public health practitioners. For example, the percentage of public health professionals who agree that the selection of predictive genetic testing to be delivered to the population should be based on the principles of efficacy and cost-effectiveness are higher than those found among Italian physicians in another survey . Globally, the public health community in Italy appears to be more prepared than physicians for a responsible and appropriate introduction of DNA-technology into health care and public health practice.
Previous surveys carried out in the United States among health educators showed that education and training influence public health genomics knowledge and attitudes [45, 46]. The results of the present survey are consistent with these findings. Exposure to predictive genetic testing during undergraduate and postgraduate training and time dedicated to continuing medical education are significant determinants of both knowledge and positive attitudes. Adequate knowledge is the strongest predictor of positive public health attitudes and there is a high level of interest in further education and training to improve knowledge and skills in this field. Overall, the results of this survey clearly indicate that there is a strong need for specific and targeted training initiatives for the public health workforce.
However, lessons drawn from many areas of medicine indicate that education alone does not necessarily translate into effective and appropriate adoption of innovative practice [47, 48]. Organizational changes are needed within the health care system to provide these services effectively and efficiently. In theory, predictive genetic testing can be used in population screening programs led by public health professionals or for early case detection and intervention in primary care settings. Today, there is a limited evidence base to support either genetic population screening programs or a personalized individual predictive genetic testing, but this scenario is likely to change to a large extent in the future [14, 49–60]. The small number of clinical geneticists in practice will limit their ability to participate in the care associated with an expending menu of genetic tests . Public health professionals could and should play an important role in the “honest broker” evaluation process that can discriminate those genomic applications that can improve health from those that are likely to result in potential harm and unnecessary health care expenditure through premature use. Most importantly, public health professionals can contribute to the modeling of public health genomic programs and primary care services that need to be developed, implemented, and evaluated [61–63].
The main limitation of this survey concerns the generalizability of its results. While the sample surveyed was representative of the study population and the response rate was high, differences between the Italian and other European and non-European public health workforces are likely to exist. Despite the fact that public health is one of the established specialties in the European Union (EU)  and, consequently, a specialist trained in one EU country will be recognized as a specialist in all EU countries, non-uniformity of public health curricula is a recognized problem . Moreover, public health today requires a multidisciplinary workforce , and the non-medical component of the public health workforce – in Italy represented mainly by biologists and people with health profession degrees – could vary among countries. Therefore, the knowledge, public health attitudes and training needs in the field of public health genomics should also be assessed in other countries, hopefully within specific national health policy frameworks.
In conclusion, the results of this survey show that the Italian public health community has the necessary attitudinal background to contribute to the proper introduction and use of predictive genetic testing for chronic diseases, but some knowledge gaps exist that should be filled through appropriate training. A specific policy of public health genomics is currently being developed at a national level by the Ministry of Health in Italy , with three major mainstays: (i) systematic health technology assessments of genetic tests for complex diseases; (ii) promotion of genomic education in physicians and capacity building; and (iii) promotion of basic genomic health literacy for the general population. The implementation of such a policy is an obligation for public health professionals. They will lose credibility if, on the one hand, they promote health literacy enabling and empowering individuals for decision making, while, on the other hand, they ignore genomic and genetic knowledge, thus missing opportunities to provide evidence-based public health interventions.
Italian Society of Hygiene, Preventive Medicine and Public Health
- 95% CI:
95% confidence interval
National Plan for Public Health Genomics
Boccia S, Khoury MJ, Zimmern R, Brand A, Brand H, Schroder P: Public health genomics in Europe. IJPH. 2006, 3: 5-7.
Ricciardi W, Boccia S: Assessment of genomics as a priority for public health. Eurohealth. 2007, 13: 4-6.
Khoury MJ, Gwinn M, Burke W, Bowen S, Zimmern R: Will genomics widen or help heal the schism between medicine and public health?. Am J Prev Med. 2007, 33: 310-317. 10.1016/j.amepre.2007.05.010.
Brand A, Brand H, Schulte in den Bäumen T: The impact of genetics and genomics on public health. Eur J Hum Genet. 2008, 16: 5-13. 10.1038/sj.ejhg.5201942.
Burke W, Burton H, Hall AE, Karmali M, Khoury MJ, Knoppers B, Meslin EM, Stanley F, Wright CF, Zimmern RL, Ickworth Group: Extending the reach of public health genomics: what should be the agenda for public health in an era of genome-based and “personalized” medicine?. Genet Med. 2010, 12: 785-791. 10.1097/GIM.0b013e3182011222.
in den Bäumen TS: Genome-based knowledge and public health: the vision of tomorrow and the challenge of today. Eur J Public Health. 2011, 21: 4-5. 10.1093/eurpub/ckq201.
Genetics and Public Health in the 21st Century: Using Genetic Information to Improve Health and Prevent Disease. Edited by: Khoury MJ, Burke W, Thomson E. 2000, New York: Oxford University Press
Burke W, Khoury MJ, Stewart A, Zimmern RL, Bellagio Group: The path from genome-based research to population health: development of an international public health genomics network. Genet Med. 2006, 8: 451-458. 10.1097/01.gim.0000228213.72256.8c.
Khoury MJ, Gwinn M, Bowen MS, Dotson WD: Beyond base pairs to bedside: a population perspective on how genomics can improve health. Am J Public Health. 2012, 102: 34-37. 10.2105/AJPH.2011.300299.
Brand A: Public health genomics–public health goes personalized?. Eur J Public Health. 2011, 21: 2-3.
Khoury MJ, Mensah GA: Genomics and the prevention and control of common chronic diseases: emerging priorities for public health action. Prev Chronic Dis. 2005, 2: A05.
Burton H, Adams M: Professional education and training in public health genomics: a working policy developed on behalf of the public health genomics European network. Public Health Genomics. 2009, 12: 216-224. 10.1159/000200019.
Williams MS: The public health genomics translation gap: what we don’t have and why it matters. Public Health Genomics. 2012, 15: 132-138. 10.1159/000334341.
Becker F, van El CG, Ibarreta D, Zika E, Hogarth S, Borry P, Cambon-Thomsen A, Cassiman JJ, Evers-Kiebooms G, Hodgson S, Janssens AC, Kaariainen H, Krawczak M, Kristoffersson U, Lubinski J, Patch C, Penchaszadeh VB, Read A, Rogowski W, Sequeiros J, Tranebjaerg L, van Langen IM, Wallace H, Zimmern R, Schmidtke J, Cornel MC: Genetic testing and common disorders in a public health framework: how to assess relevance and possibilities. Background document to the ESHG recommendations on genetic testing and common disorders. Eur J Hum Genet. 2011, 19 (Suppl. 1): S6-S44.
Acton RT, Burst NM, Casebeer L, Ferguson SM, Greene P, Laird BL, Leviton L: Knowledge, attitudes, and behaviors of Alabama’s primary care physicians regarding cancer genetics. Acad Med. 2000, 75: 850-852. 10.1097/00001888-200008000-00021.
Batra S, Valdimarsdottir H, McGovern M, Itzkowitz S, Brown K: Awareness of genetic testing for colorectal cancer predisposition among specialists in gastroenterology. Am J Gastroenterol. 2002, 97: 729-733. 10.1111/j.1572-0241.2002.05556.x.
Bellcross CA, Kolor K, Goddard KA, Coates RJ, Reyes M, Khoury MJ: Awareness and utilization of BRCA1/2 testing among U.S. primary care physicians. Am J Prev Med. 2011, 40: 61-66. 10.1016/j.amepre.2010.09.027.
Bethea J, Qureshi N, Drury N, Guilbert P: The impact of genetic outreach education and support to primary care on practitioner's confidence and competence in dealing with familial cancers. Community Genet. 2008, 11: 289-294. 10.1159/000121400.
Burke W, Culver J, Pinsky L, Hall S, Reynolds SE, Yasui Y, Press N: Genetic assessment of breast cancer risk in primary care practice. Am J Med Genet A. 2009, 149A (3): 349-356. 10.1002/ajmg.a.32643.
Carroll JC, Cappelli M, Miller F, Wilson BJ, Grunfeld E, Peeters C, Hunter AG, Gilpin C, Prakash P: Genetic services for hereditary breast/ovarian and colorectal cancers – physicians’ awareness, use and satisfaction. Community Genet. 2008, 11: 43-51. 10.1159/000111639.
Escher M, Sappino AP: Primary care physicians’ knowledge and attitudes towards genetic testing for breast-ovarian cancer predisposition. Ann Oncol. 2000, 11: 1131-1135. 10.1023/A:1008319114278.
Freedman AN, Wideroff L, Olson L, Davis W, Klabunde C, Srinath KP, Reeve BB, Croyle RT, Ballard-Barbash R: US physicians’ attitudes toward genetic testing for cancer susceptibility. Am J Med Genet A. 2003, 1 (20A): 63-71.
Klitzman R, Chung W, Marder K, Shanmugham A, Chin LJ, Stark M, Leu CS, Appelbaum PS: Attitudes and Practices Among Internists Concerning Genetic Testing. J Genet Couns. 2012, doi:10.1007/s10897-012-9504-z
Mehnert A, Bergelt C, Koch U: Knowledge and attitudes of gynecologists regarding genetic counseling for hereditary breast and ovarian cancer. Patient Educ Couns. 2003, 49: 183-188. 10.1016/S0738-3991(02)00117-9.
Nippert I, Harris HJ, Julian-Reynier C, Kristoffersson U, Ten Kate LP, Anionwu E, Benjamin C, Challen K, Schmidtke J, Nippert RP, Harris R: Confidence of primary care physicians in their ability to carry out basic medical genetic tasks-a European survey in five countries-Part 1. J Community Genet. 2011, 2: 1-11. 10.1007/s12687-010-0030-0.
Pichert G, Dietrich D, Moosmann P, Zwahlen M, Stahel RA, Sappino AP: Swiss primary care physicians’ knowledge, attitudes and perception towards genetic testing for hereditary breast cancer. Fam Cancer. 2003, 2: 153-158.
Sabatino SA, McCarthy EP, Phillips RS, Burns RB: Breast cancer risk assessment and management in primary care: provider attitudes, practices and barriers. Cancer Detect Prev. 2007, 31: 375-383. 10.1016/j.cdp.2007.08.003.
Shields AE, Burke W, Levy DE: Differential use of available genetic tests among primary care physicians in the United States: results of a national survey. Genet Med. 2008, 10: 404-414. 10.1097/GIM.0b013e3181770184.
Sifri R, Myers R, Hyslop T, Turner B, Cocroft J, Rothermel T, Grana J, Schlackman N: Use of cancer susceptibility testing among primary care physicians. Clin Genet. 2003, 64: 355-360. 10.1034/j.1399-0004.2003.00131.x.
Toiviainen H, Hemminki E: Finnish physicians’ interest in genetic screening. Community Genet. 2001, 4: 27-35. 10.1159/000051153.
Trivers KF, Baldwin LM, Miller JW, Matthews B, Andrilla CH, Lishner DM, Goff BA: Reported referral for genetic counseling or BRCA 1/2 testing among United States physicians: a vignette-based study. Cancer. 2011, 117: 5334-5343. 10.1002/cncr.26166.
Van Riel E, Wárlám-Rodenhuis CC, Verhoef S, Rutgers EJ, Ausems MG: BRCA testing of breast cancer patients: medical specialists’ referral patterns, knowledge and attitudes to genetic testing. Eur J Cancer Care (Engl). 2010, 19: 369-376. 10.1111/j.1365-2354.2008.01065.x.
Welkenhuysen M, Evers-Kiebooms G: General practitioners and predictive genetic testing for late-onset diseases in Flanders: what are their opinions and do they want to be involved?. Community Genet. 2002, 5: 128-137. 10.1159/000065170.
White DB, Bonham VL, Jenkins J, Stevens N, McBride CM: Too many referrals of low-risk women for BRCA1/2 genetic services by family physicians. Cancer Epidemiol Biomarkers Prev. 2008, 17: 2980-2986. 10.1158/1055-9965.EPI-07-2879.
Wideroff L, Freedman AN, Olson L, Klabunde CN, Davis W, Srinath KP, Croyle RT, Ballard-Barbash R: Physician use of genetic testing for cancer susceptibility: results of a national survey. Cancer Epidemiol Biomarkers Prev. 2003, 12: 295-303.
Wideroff L, Vadaparampil ST, Greene MH, Taplin S, Olson L, Freedman AN: Hereditary breast/ovarian and colorectal cancer genetics knowledge in a national sample of US physicians. J Med Genet. 2005, 42: 749-755. 10.1136/jmg.2004.030296.
Wilkins-Haug L, Hill LD, Power ML, Holzman GB, Schulkin J: Gynecologists’ training, knowledge, and experiences in genetics: a survey. Obstet Gynecol. 2000, 95: 421-424. 10.1016/S0029-7844(99)00581-5.
Simone B, Mazzucco W, Gualano MR, Agodi A, Coviello D, Dagna Bricarelli F, Dallapiccola B, Di Maria E, Federici A, Genuardi M, Varesco L, Ricciardi W, Boccia S, GENISAP Network: The policy of public health genomics in Italy. Health Policy. 2013, 110: 214-219. 10.1016/j.healthpol.2013.01.015.
Guidelines on Public Health Genomics. http://www.statoregioni.it/dettaglioDoc.asp?idprov=11730&iddoc=39990&tipodoc=2&CONF=CSR.
Encyclopedia of Public Health. Edited by: Breslow L. 2002, New York: Macmillan Reference USA/Gale Group Thomson Learning
Hosmer DW, Lemeshow S: Applied Logistic Regression. 2000, New York: Wiley & Sons, 2
De Vito C, Nobile CG, Furnari G, Pavia M, De Giusti M, Angelillo IF, Villari P: Physicians' knowledge, attitudes and professional use of RCTs and meta-analyses: a cross-sectional survey. Eur J Public Health. 2009, 19: 297-302. 10.1093/eurpub/ckn134.
De Vito C, Nobile CG, Furnari G, Pavia M, De Giusti M, Angelillo IF, Villari P: The role of education in improving physicians' professional use of economic evaluations of health interventions: some evidence from a cross-sectional survey in Italy. Eval Health Prof. 2009, 32: 249-263. 10.1177/0163278709338557.
Marzuillo C, De Vito C, Boccia S, D'Addario M, D'Andrea E, Santini P, Boccia A, Villari P: Knowledge, attitudes and behavior of physicians regarding predictive genetic tests for breast and colorectal cancer. Prev Med. 2013, 57 (5): 477-482. 10.1016/j.ypmed.2013.06.022.
Chen LS, Goodson P: Public health genomics knowledge and attitudes: a survey of public health educators in the United States. Genet Med. 2007, 9: 496-503. 10.1097/GIM.0b013e31812e95b5.
Chen LS, Kwok OM, Goodson P: US health educators' likelihood of adopting genomic competencies into health promotion. Am J Public Health. 2008, 98: 1651-1657. 10.2105/AJPH.2007.122663.
Greco PJ, Eisenberg JM: Changing physicians’ practice. N Engl J Med. 1993, 329: 1271-1273. 10.1056/NEJM199310213291714.
Grol R, Grimshaw J: From best evidence to best practice: effective implementation of change in patients’ care. Lancet. 2003, 362: 1225-1230. 10.1016/S0140-6736(03)14546-1.
Wang G, Watts C: The role of genetics in the provision of essential public health services. Am J Public Health. 2007, 97: 620-625. 10.2105/AJPH.2006.087791.
McBride CM, Bowen D, Brody LC, Condit CM, Croyle RT, Gwinn M, Khoury MJ, Koehly LM, Korf BR, Marteau TM, McLeroy K, Patrick K, Valente TW: Future health applications of genomics: priorities for communication, behavioral, and social sciences research. Am J Prev Med. 2010, 38: 556-565. 10.1016/j.amepre.2010.01.027.
Laberge AM, Burke W: Clinical and public health implications of emerging genetic technologies. Semin Nephrol. 2010, 30: 185-194. 10.1016/j.semnephrol.2010.01.009.
Burke W, Tarini B, Press NA, Evans JP: Genetic screening. Epidemiol Rev. 2011, 33: 148-164. 10.1093/epirev/mxr008.
van El CG, Cornel MC, ESHG Public and Professional Policy Committee: Genetic testing and common disorders in a public health framework. Eur J Hum Genet. 2011, 19: 377-381. 10.1038/ejhg.2010.176.
Bowen MS, Kolor K, Dotson WD, Ned RM, Khoury MJ: Public health action in genomics is now needed beyond newborn screening. Public Health Genomics. 2012, 15: 327-334. 10.1159/000341889.
Zimmern RL, Khoury MJ: The impact of genomics on public health practice: the case for change. Public Health Genomics. 2012, 15: 118-124. 10.1159/000334840.
McGrath BB: Advancing the post-genomic era agenda: contributions from public health. Public Health Genomics. 2012, 15: 125-131. 10.1159/000335551.
McBride CM, Bryan AD, Bray MS, Swan GE, Green ED: Health behavior change: can genomics improve behavioral adherence?. Am J Public Health. 2012, 102: 401-405. 10.2105/AJPH.2011.300513.
Khoury MJ, Janssens AC, Ransohoff DF: How can polygenic inheritance be used in population screening for common diseases?. Genet Med. 2012, doi:10.1038/gim.2012
Hastings R, de Wert G, Fowler B, Krawczak M, Vermeulen E, Bakker E, Borry P, Dondorp W, Nijsingh N, Barton D, Schmidtke J, van El CG, Vermeesch J, Stol Y, Carmen Howard H, Cornel MC: The changing landscape of genetic testing and its impact on clinical and laboratory services and research in Europe. Eur J Hum Genet. 2012, 20: 911-916. 10.1038/ejhg.2012.56.
Evans JP, Berg JS, Olshan AF, Magnuson T, Rimer BK: We screen newborns, don't we?: realizing the promise of Public Health Genomics. Genet Med. 2013, doi:10.1038/gim.2013.11
Khoury MJ, Bowen MS, Burke W, Coates RJ, Dowling NF, Evans JP, Reyes M, St Pierre J: Current priorities for public health practice in addressing the role of human genomics in improving population health. Am J Prev Med. 2011, 40: 486-493. 10.1016/j.amepre.2010.12.009.
Khoury MJ: Public health genomics: the end of the beginning. Genet Med. 2011, 13: 206-209. 10.1097/GIM.0b013e31821024ca.
Kaye CI: Genetic service delivery: infrastructure, assessment and information. Public Health Genomics. 2012, 15: 164-171. 10.1159/000335552.
European Parliament, Council of the European Union: Directive 2005/36/EC of the European Parliament and of the Council on the recognition of professional qualifications, Council Common Position (10/2005). J Eur Union. 2005, O.J. L 255/22
Westerling R: The harmonization of the medical specialty in public health in the EU countries – a challenge for the profession. Eur J Public Health. 2009, 19: 230-232. 10.1093/eurpub/ckp043.
Birt CA, Foldspang A: Public health capacity building–not only the property of the medical profession. Eur J Public Health. 2009, 19: 232-235. 10.1093/eurpub/ckp069.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/14/239/prepub
This work was supported by the Agenzia Sanitaria Regionale Abruzzo, Italy, 2009 within the project: ‘I test di suscettibilità genetica al carcinoma mammario e colorettale: valutazione dell’appropriatezza dello screening in soggetti ad alto rischio in alcune regioni italiane’ (Genetic susceptibility tests for colorectal and breast cancer: assessment of appropriateness of screening in high-risk individuals in four Italian Regions).
The authors declare that they have no competing interests.
CM made substantial a contribution to the study design and acquisition of data, and helped to analyze data and draft the manuscript. CDV participated in the design of the study, performed the statistical analysis and helped to draft the manuscript. EDA, MDA and PS participated in the design of the study and in the acquisition of data. AB participated in the design of the study, and was involved in drafting the manuscript and revising it critically for important intellectual contents. PV conceived the study, participated in its design and coordination and drafted the manuscript. All authors read and approved the final version of the manuscript.
About this article
Cite this article
Marzuillo, C., Vito, C.D., D’Addario, M. et al. Are public health professionals prepared for public health genomics? A cross-sectional survey in Italy. BMC Health Serv Res 14, 239 (2014). https://doi.org/10.1186/1472-6963-14-239
- Public health genomics
- Predictive genetic testing
- Public health professionals
- Cross-sectional survey
- Knowledge and attitudes
- Training needs