Web-based medical records Are we ready?
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1 Web-based medical records Are we ready? A multicentre study into the attitudes of Australian families toward implementation of an internet accessible, electronic medical record for a paediatric population
2 Background Within the area of child health, Australia was an early adopter of patient held medical records. In SA the blue-book was introduced in 1981 A number of studies have shown good acceptance and use of the record Jeffs D. Retention and use of personal health records: a population-based study. J Paediatr Child Health. Jun (3); Volkmer RE. Parental Perception of the use and usefulness of a parent-held child health record. J Paediatr Child Health. 1993;29(2)April:150-3
3 Background UK: NHS Care Records Service. A summary care record to be created for every citizen and stored electronically US: Networks such a Kaiser Permanente incorporating millions of members presently use electronic patient held records. President George W Bush by 2014 every American must have a personal electronic medical record. Google and Microsoft have both launched a commercially available personal health record Australia: Health-book Health-Connect Healthelink
4 Pro s and Con s of Patient Held Records Pros Improved doctor-patient communication Educating and empowering patients Promoting adherence and self management Facilitating correction of errors Fewer repeated tests Improving patient satisfaction Cons Confidentiality Causing confusion or misunderstandings Creating anxiety Increasing litigious behaviour Adverse effects on the quality of record keeping Increased demands on staff time
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6 Consent model Opt in: Less professional resistance Less community resistance Less data capture Opt out: Greater professional resistance Greater community resistance Greater data capture Ethical issues should security breaches occur
7 Previous studies Fowles et al 4500 patients 36% patient very interested and 43% somewhat interested in seeing their medical records They showed a linear relationship between internet use and wanting to view the medical records 49.3% said they would prefer to view a paper record in their own home, 43.8% said they would prefer to see the record over the internet Kleiner et al 74% of parents surveyed expressed interest in using to contact their child s doctor Parents concerns regarding confidentiality were quantified using a visual analogue scale for strength of feeling. The mean score for concerns regarding confidentiality was 70-95/100
8 Aim To assess parents opinions regarding the creation of an internet accessible, electronic medical record To determine if attitudes are correlated with present internet use
9 Methods PMH + WCH Inclusion criteria: parents/guardians of children attending the OPD for assessment or follow-up Validity of the sample was determined with reference to ABS/AIHW data on demographics and internet usage of the Australian population
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12 Demographics Perth v Adelaide Perth Adelaide Mean age of respondent 34.2 yrs 36 yrs 35 yrs Median age of respondent 34 yrs 35 yrs 35 yrs Mean number of children Median number of children Mean number of children requiring hospitalisation in the past English as first language 93.4% 90% 92% Internet access at home 72.6% 80.2% 72.8% Use internet at least weekly 82% 88.1% 85.1%
13 Demographics Study population v Australian population Study Population Mean age: 35 yrs Median age: 35 yrs Mean no. children: 2.3 Median no. children: 2 Mean no. children having required hospitalisation in past: 1.8 English as first language: 92% participants Internet access at home: 72.8% Use the internet at least weekly: 85.1% Australian Population (2006 Census figures) Median age: 37 yrs Median no. children: 2 Internet access at home: 64% and 81% of households in which children under the age of 15 yrs live. (Overall SA 57%, Perth 66%) 92% people use the internet at least weekly 16% of Australians born overseas, in a country in which primary language is one other than English
14 Results summary 60 Yes No Child s webbased medical record 284 (72.3%) 109 (27.7%) Not of use to me Security concern No internet access No response Own webbased medical record 265 (67.8%) 126 (32.2%) 391 Proportion (%) Precision CI Sample Size
15 Attitude toward web-based medical record Perth v Adelaide Attitude toward webbased medical record Perth Child s web-based medical record Yes 122 (61.3%) No 43 (21.6%) Unsure 34 (17.1%) Own web-based medical record Yes 116 (59.5%) No 48 (24.6%) Unsure 31 (15.9%) Adelaide 162 (83.1%) 8 (4.1%) 25 (12.8%) 148 (74.9%) 10 (5.1%) 39 (20%) 72.3% 13.0% 15.0% 67.8% 14.9% 17.9%
16 Effect of diagnosis on attitude toward Diagnosis electronic medical record All Child web based medical record Yes n (%) No n (%) Own web based medical record Yes n (%) No n (%) p=0.035 nonsig Appendicitis 116 (30%) 93(80.2) 23 (19.8) 74 (63.8) 40 (35.5) Hernia 71 (18.3%) 42 (59.1) 28 (39.4) 46 (64.8) 25 (35.2) Hydrocoele 14 (3.6%) 9 (64.3) 5 (28.6)) 11 (78.6) 3 (21.4) Circumscision 42 (10.9%) 32 (76.2) 10 (23.8) 31 (73.8) 11 (26.2) Undescended testes 36 (9.3%) 22 (61.1) 14 (38.9) 20 (55.6) 15 (41.7) Wetting 29 (7.5%) 19 (65.5) 10 (34.5) 19 (65.5) 10 (47.6) Hypospadias 31 (8.0%) 22 (71) 9 (29) 23 (74.2) 8 (25.8) Neonatal Surgery 37 (9.6%) 32 (86.5) 5 (13.5) 29 (78.8) 8 (21.6) Misc 11 (2.8%) 7 (63.6) 4 (36.4) 7 (63.6) 4 (36.4) 387 (100%)
17 Effect of generation on attitude toward electronic medical record Generation All Child web-based medical record Own web-based medical record Yes n (%) No n (%) Yes n (%) No n (%) nonsig p=0.067 Gen Y Born (20.7%) 58 (66.7) 28 (32.2) 53 (60.9) 34 (39.1) Gen X Born (60.4%) 172 (73.1) 63 (28.8) 170 (72.3) 62 (26.4) Baby boomer Born (16.5%) 48 (75) 16 (25) 38 (59.4) 26 (40.6) Mature Born before (0.8%) 2 (66.7) 1 (33.3) 2 (66.7) 1 (33.3) 389 (100%) (100%) 123
18 Use of internet Home internet Yes No Effect of internet usage on attitude toward electronic medical record Any internet access Yes No use Yes No Use of internet Internet hrs < 5/wk Internet hrs 5+/wk All 300 (76.5%) 92 (23.4%) (90.6%) 37 (9.4%) 392 (100%) 304 (77.2%) 85 (21.6%) 389 (100%) 227 (57.8%) 166 (42.2%) 393 (100%) Child web-based medical record Yes n (%) nonsig 221 (73.7) 61 (66.3) 282 nonsig 257 (72.4) 25 (67.6) 282 nonsig 223 (73.4) 56 (65.9) 279 p= (66.1) 134 (80.7) 284 No n (%) 78 (26) 31 (33.7) (27.3) 12 (32.4) (26.3) 29 (34.1) (33.9) 32 (19.8) 109 Own web-based medical record Yes n (%) p< (72.3) 47 (51.1) 264 p< (70.7) 13 (35.1) 264 p< (73.7) 38 (44.7) 262 p< (58.6) 132 (79.5) 265 No n (%) 80 (26.7) 45 (48.9) (28.5) 24 (64.9) (25.3) 47 (55.3) (41.0) 33 (19.9) 126
19 Effect of present use of online transactions on attitude toward electronic medical record Online transactions All Child web-based medical record Own web-based medical record Yes n (%) No n (%) Yes n (%) No n (%) Online shopping nonsig p<0.01 Never 191 (48.6%) 137 (71.7) 53 (27.7) 111 (58.1) 80 (41.9) Have before, never again 8 (2.0%) 6 (75.0) 2 (25.0) 2 (25.0) 6 (75) Have before, will again 194 (49.4%) 140 (72.2) 54 (27.8) 151 (77.8) 40 (20.6) 393 (100%) Online banking nonsig p<0.01 Never 152 (38.8%) 106 (69.7) 45 (29.6) 79 (52.0) 73 (48) Have before, never again 3 (0.8%) 2 (66.7) 1 (33.3) 1 (33.3) 2 (66.7) Have before, will again 237 (60.5%) 174 (73.4) 63 (26.6) 183 (77.2) 51 (21.5) 392 (100%) Online pay nonsig p<0.01 Never 176 (44.8%) 124 (70.5) 51 (29.0) 92 (52.3) 84 (47.7) Have before, never again 2 (0.5%) 1 (50) 1 (50) 1 (50) 1 (50) Have before, will again 215 (54.7%) 158 (73.5) 57 (26.5) 171 (79.5) 41 (19.1) 393 (100%)
20 So what really affects attitude toward web-based medical records? Logarithmic regression results Significant factors Web-based medical record for child Web-based medical record for self Significance level Odds Significance level Odds No internet connection at home vs internet connection at home nonsig Use of internet < 5 hours per week vs use of internet 5+ hours per week nonsig - No use of online transactions vs use of online transactions < Does not want web-based record created for self vs wants web-based medical record created for self < n/a n/a Does not want web-based record created for child vs wants web-based medical record created for self n/a n/a <
21 Summary Multicentre study into the attitudes of current health care users First study of its kind in Australia Support for web-based medical records Personal record strongly linked with internet usage and finances Child s record linked with internet usage but negatively associated with online transactions
22 Strengths and Limitations Multicentre Large sample size Demographics in keeping with ABS statistics Results in keeping with that quoted in international studies Non-randomised Response rate unknown 92% of respondants identified English as their first language
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