| Literature DB >> 26466787 |
Chrysanthi Papoutsi1,2, Julie E Reed1, Cicely Marston3, Ruth Lewis3,4, Azeem Majeed5, Derek Bell6.
Abstract
BACKGROUND: Although policy discourses frame integrated Electronic Health Records (EHRs) as essential for contemporary healthcare systems, increased information sharing often raises concerns among patients and the public. This paper examines patient and public views about the security and privacy of EHRs used for health provision, research and policy in the UK.Entities:
Mesh:
Year: 2015 PMID: 26466787 PMCID: PMC4607170 DOI: 10.1186/s12911-015-0202-2
Source DB: PubMed Journal: BMC Med Inform Decis Mak ISSN: 1472-6947 Impact factor: 2.796
Socio-demographic and health-related characteristics of the sample, N = 2761
| % (N) | |
|---|---|
| Age category | |
| 18–24 | 8.1 (225) |
| 25–34 (base) | 26.5 (732) |
| 35–44 | 21.2 (584) |
| 45–54 | 15.5 (427) |
| 55–64 | 11.8 (325) |
| 65–74 | 10.5 (289) |
| 75+ | 6.5 (179) |
| Sex | |
| Female (base) | 59.1 (1,633) |
| Male | 40.9 (1,128) |
| Ethnicity | |
| White British (base) | 56 (1,546) |
| White Non-British | 20.2 (559) |
| Black/African/Caribbean/British Black | 7.4 (205) |
| Asian/Asian British | 8.1 (223) |
| Mixed/Multiple | 8.3 (228) |
| Educational qualifications | |
| No academic qualification | 4.9 (136) |
| GCSE | 11.2 (310) |
| A-Levels | 10.2 (282) |
| Vocational qualification | 12.4 (342) |
| Degree | 36.4 (1,006) |
| Higher Degree (base) | 24.8 (685) |
| Clinic type | |
| GP clinic (base) | 33.6 (927) |
| Outpatient | 66.4 (1,834) |
| Frequency of healthcare use in past 6 months | |
| 0 to 2 (base) | 36.4 (1,004) |
| 3 to 5 | 34.7 (957) |
| 6 to 9 | 15.9 (439) |
| 10 plus | 13.1 (361) |
| Long term conditions | |
| No conditions (base) | 34.8 (961) |
| At least one condition | 65.2 (1,800) |
| Total | 100 (2,761) |
Fig. 1Respondent views on whether they would worry if their record was part of a national EHR system, N = 2761
Fig. 2Respondent views on the ability of the NHS to maintain EHR security at the time of the survey, N = 2761
Fig. 3Respondent views about EHR security compared with their own records, N = 2761
Relationships between EHR security perceptions and overall support for national EHRs, N = 2761
| Overall, are you in favour of the development of a national electronic health records system? | ||||
|---|---|---|---|---|
| Yes | No | Undecided | Total | |
| % (N) | % (N) | % (N) | % (N) | |
| Worried about security if record was part of national EHR system | ||||
| No | 86.1 (501) | 2.7 (16) | 11.2 (65) | 100 (582) |
| Yes | 55 (1,199) | 12.3 (269) | 32.6 (711) | 100 (2,179) |
| Pearson chi2(2) = 188.2000 | ||||
| Perceptions about NHS ability to safeguard EHRs at the time | ||||
| No | 53.5 (1,053) | 13 (255) | 33.5 (660) | 100 (1,968) |
| Yes | 81.6 (647) | 3.8 (30) | 14.6 (116) | 100 (793) |
| Pearson chi2(2) = 190.3913 | ||||
| Perceived EHR security compared with current records | ||||
| Less secure | 46.5 (603) | 17.4 (226) | 36 (467) | 100 (1,296) |
| Equally secure | 72.7 (874) | 4 (48) | 23.3 (280) | 100 (1,202) |
| More secure | 84.8 (223) | 4.2 (11) | 11 (29) | 100 (263) |
| Pearson chi2(4) = 280.8978 | ||||
Logistic regression models: perceptions about national EHR security and the ability of the NHS to safeguard EHRs at the time, N = 2761
| Worried about security if record was part of national EHR system (base: not worried) | Perceptions about NHS ability to safeguard EHRs at the time (base: unable to safeguard EHRs) | |||||
|---|---|---|---|---|---|---|
| RR | 95 % CI | p | RR | 95 % CI | p | |
| Age category (base: 25–34) | ||||||
| 18–24 | 1.12 | [0.76,1.64] | 0.58 | 0.97 | [0.74,1.27] | 0.83 |
| 35–44 | 2.15 | [1.74,2.66] | 0.00 | 0.60 | [0.49,0.74] | 0.00 |
| 45–54 | 2.45 | [1.75,3.43] | 0.00 | 0.71 | [0.56,0.89] | 0.00 |
| 55–64 | 1.98 | [1.49,2.63] | 0.00 | 0.41 | [0.30,0.55] | 0.00 |
| 65–74 | 1.10 | [0.75,1.63] | 0.62 | 0.62 | [0.43,0.90] | 0.01 |
| 75+ | 1.18 | [0.82,1.69] | 0.36 | 0.46 | [0.27,0.79] | 0.00 |
| Ethnicity (base: White British) | ||||||
| White Non-British | 0.74 | [0.44,1.25] | 0.26 | 0.63 | [0.49,0.79] | 0.00 |
| Black British | 0.74 | [0.45,1.22] | 0.24 | 1.15 | [0.84,1.56] | 0.38 |
| Asian British | 0.57 | [0.35,0.93] | 0.02 | 1.52 | [0.95,2.43] | 0.08 |
| Mixed/Multiple/Other | 1.10 | [0.54,2.21] | 0.80 | 1.21 | [0.86,1.70] | 0.28 |
| Education (base: higher degree) | ||||||
| None | 0.44 | [0.30,0.65] | 0.00 | 2.60 | [2.04,3.32] | 0.00 |
| GCSE | 0.68 | [0.42,1.09] | 0.11 | 1.62 | [1.13,2.34] | 0.01 |
| A-Level | 0.71 | [0.51,1.00] | 0.05 | 1.43 | [1.06,1.94] | 0.02 |
| Vocational | 0.87 | [0.54,1.43] | 0.59 | 1.53 | [1.06,2.21] | 0.02 |
| Degree | 0.86 | [0.68,1.08] | 0.20 | 1.07 | [0.88,1.30] | 0.53 |
The first logistic regression model compares those who would worry about the security of their record if this were part of a national EHR with those who would not worry. The second logistic regression model compares those who think the NHS was able to make electronic health records secure at the time of the survey with those who do not think the NHS was able to do so. P-values are adjusted for clustering by sampling site
Multinomial regression model on perceptions of EHR security compared with current records, N = 2761
| Perceptions of EHR security compared with current records (base: less secure) | ||||||
|---|---|---|---|---|---|---|
| Equally secure | More secure | |||||
| RR | ci95 | p | RR | ci95 | p | |
| Age category (base: 25–34) | ||||||
| 18–24 | 1.24 | [0.90,1.69] | 0.19 | 1.28 | [0.77,2.13] | 0.35 |
| 35–44 | 0.67 | [0.54,0.82] | 0.00 | 0.68 | [0.53,0.87] | 0.00 |
| 45–54 | 0.56 | [0.44,0.71] | 0.00 | 0.52 | [0.30,0.90] | 0.02 |
| 55–64 | 0.52 | [0.39,0.69] | 0.00 | 0.57 | [0.39,0.83] | 0.00 |
| 65–74 | 0.65 | [0.46,0.92] | 0.02 | 0.60 | [0.37,0.95] | 0.03 |
| 75+ | 0.63 | [0.46,0.85] | 0.00 | 0.63 | [0.39,1.01] | 0.06 |
| Ethnicity (base: White British) | ||||||
| White Non-British | 1.25 | [1.02,1.53] | 0.03 | 1.45 | [1.05,2.00] | 0.03 |
| Black British | 0.74 | [0.54,1.00] | 0.05 | 1.48 | [0.99,2.20] | 0.05 |
| Asian British | 1.26 | [1.04,1.53] | 0.02 | 2.28 | [1.52,3.44] | 0.00 |
| Mixed/Multiple/Other | 1.13 | [0.88,1.45] | 0.34 | 1.91 | [1.17,3.11] | 0.01 |
| Education (base: higher degree) | ||||||
| None | 1.55 | [0.96,2.51] | 0.07 | 3.05 | [1.51,6.17] | 0.00 |
| GCSE | 1.58 | [1.05,2.38] | 0.03 | 2.32 | [1.48,3.65] | 0.00 |
| A-Level | 1.26 | [0.97,1.64] | 0.08 | 1.50 | [0.87,2.58] | 0.14 |
| Vocational | 1.10 | [0.75,1.60] | 0.62 | 1.31 | [0.85,2.03] | 0.22 |
| Degree | 1.01 | [0.78,1.32] | 0.93 | 1.27 | [0.96,1.67] | 0.09 |
Multinomial regression model comparing those who feel that integrated electronic health records are as secure as or more secure than their current health records, with those who report that integrated records would be less secure (base). P-values are adjusted for clustering by sampling site