| Literature DB >> 25918693 |
Virgilia Toccaceli1, Corrado Fagnani1, Maria Antonietta Stazi1.
Abstract
In a time when Europe is preparing to introduce new regulations on privacy protection, we conducted a survey among 1700 twins enrolled in the Italian Twin Register about the access and use of their medical records for public health research without explicit informed consent. A great majority of respondents would refuse or are doubtful about the access and use of hospital discharge records or clinical data without their explicit consent. Young and female individuals represent the modal profile of these careful people. As information retrieved from medical records is crucial for progressing knowledge, it is important to promote a better understanding of the value of public health research activities among the general population. Furthermore, public opinions are relevant to policy making, and concerns and preferences about privacy and confidentiality in research can contribute to the design of procedures to exploit medical records effectively and customize the protection of individuals' medical data. Significance for public healthInformation retrieved from medical records is critical for public health research and policy. In particular, large amounts of individual health data are needed in an epidemiological setting, where methodological constraints (e.g. follow-up update) and quality control procedures very often require data to be re-identifiable. Concern about European regulation affecting access to medical records seems to be widespread in the scientific community. Highlighting individuals' concerns and preferences about privacy and informed consent regarding the use of health data can support policy making for public health research. It can contribute to the design of procedures aiming to extract the greatest value from medical records and, more importantly, to create a system for the protection of personal data tailored to the needs of different people.Entities:
Keywords: medical records; privacy and confidentiality; public health; twins; use of personal data in research
Year: 2015 PMID: 25918693 PMCID: PMC4407038 DOI: 10.4081/jphr.2015.401
Source DB: PubMed Journal: J Public Health Res ISSN: 2279-9028
Demographics of the study population.
| Demographic variables | N. (%) |
|---|---|
| Age in years | 38 (18-70) |
| Gender | |
| Male | 664 (39.2) |
| Female | 1029 (60.8) |
| Education | |
| Primary school | 33 (1.9) |
| Secondary school | 200 (11.9) |
| Vocational school | 142 (8.4) |
| High school | 673 (39.9) |
| 3-year degree | 153 (9.1) |
| 5-year degree | 485 (28.8) |
| Marital status | |
| Single | 901 (53.4) |
| Married | 585 (34.7) |
| Living in couple | 103 (6.1) |
| Separated | 41 (2.4) |
| Divorced | 45 (2.7) |
| Widowed | 12 (0.7) |
| Area of residence | |
| North | 918 (54.7) |
| Centre | 566 (33.7) |
| South | 195 (11.6) |
*Median (range).
Questionnaire results.
| Questionnaire items | N. (%) |
|---|---|
| Agreement on access and use of medical records for research without explicit informed consent | |
| No | 949 (56.5) |
| Yes | 551 (32.8) |
| I don’t know | 180 (10.7) |
| Present or past work experience in the health care sector | |
| No | 1491 (88.6) |
| Yes | 192 (11.4) |
| Self-perceived health | |
| Very bad | 3 (0.2) |
| Bad | 19 (1.1) |
| Fair | 200 (11.9) |
| Good | 1045 (61.9) |
| Very good | 421 (24.9) |
| Self-reported presence of chronic or long term diseases | |
| No | 1350 (80.0) |
| Yes | 337 (20.0) |
Number of subjects (N) for each variable may not sun up to total (1693) due to missing information.
Multinomial logistic regression analysis of the theoretical agreement of respondents on the access and use of their medical records for epidemiological and biomedical research purposes without an informed consent.
| Subjects agreement | OR | P-value | 95% CI* |
|---|---|---|---|
| Age (years) | 1.024 | <0.001 | (1.012, 1.036) |
| Gender | |||
| Male | 1 | ||
| Female | 0.605 | <0.001 | (0.480, 0.763) |
| Present or past work experience in the health care sector | |||
| No | 1 | ||
| Yes | 0.618 | 0.010 | (0.427, 0.892) |
OR: odds ratio; 95% CI: 95% confidence interval. *Standard errors were adjusted for clustering within twin pairs. Outcome coding: 1=Yes, I agree, 0=No, I do not agree, 8=I don’t know. Results of I do not know vs No, I do not agree are not reported. The model was also adjusted for education, area of residence, marital status, self-perceived health and self-reported presence of chronic or long term diseases.