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Tulledge‐Scheitel, Sidna M.

https://orcid.org/0000-0001-5634-8397

Mayo Clinic

Mayo Clinic

Citations 25

Impact of Patient Portal Secure Messages and Electronic Visits on Adult Primary Care Office Visits
North, Frederick , Crane, Sarah J. , Chaudhry, Rajeev , Ebbert, Jon O. , Ytterberg, Karen L., Tulledge‐Scheitel, Sidna M. , Stroebel, Robert J.

Telemedicine and e-Health | December 18, 2013 | Volume: 20 | Issue: 3 | Pages: 192-198

10.1089/tmj.2013.0097 Get It

Introduction: Secure messages and electronic visits (“e-visits”) through patient portals provide patients with alternatives to face-to-face appointments, telephone contact, letters, and e-mails. Limited information exists on how portal messaging impacts face-to-face visits in primary care. Materials and Methods: We conducted a retrospective cohort study of 2,357 primary care patients who used electronic messaging (both secure messages and e-visits) on a patient portal. Face-to-face appointment frequencies (visits/year) of each patient were calculated before and after the first message in a matched-pairs analysis. We analyzed visit frequencies with and without adjustments for a first message surge in visits, and we examined subgroups of high message utilizers and long-term users. Results: Primary care patients who sent at least one message (secure message or e-visit) had a mean of 2.43 (standard deviation [SD] 2.3) annual face-to-face visits before the first message and 2.47 (SD 2.8) after, a nonsignificant difference ( p =0.45). After adjustment for a first message surge in visits, no significant visit frequency differences were observed (mean, 2.35 annual visits per patient both before and after first message; p =0.93). Subgroup analysis also showed no significant change in visit frequency for patients with higher message utilization or for those who had used the messaging feature longer. Conclusions: No significant change in face-to-face visit frequency was observed following implementation of portal messaging. Secure messaging and e-visits through a patient portal may not result in a change of adult primary care face-to-face visits.
Telemedicine Barriers Associated with Regional Quality Measures
North, Frederick , Crane, Sarah J. , Takahashi, Paul Y. , Ward, William J. , Tulledge‐Scheitel, Sidna M. , Ytterberg, Karen L., Tangalos, Eric G., Stroebel, Robert J. , Takahashi, Paul

Telemedicine and e-Health | November 9, 2013 | Volume: 20 | Issue: 2 | Pages: 179-181

10.1089/tmj.2013.0167 Get It

Telemedicine practitioners are familiar with multiple barriers to delivering care at a distance. Licensing and reimbursement barriers are well known and are being addressed at national and state levels by the American Telemedicine Association. Another telemedicine barrier comes in the form of quality measures for diabetes. Minnesota medical practices are currently being compared on the proportion of their patients with diabetes who have attained goals for blood pressure, low-density lipoprotein cholesterol, and hemoglobin A1C. The quality measure for blood pressure specifically excludes measurements taken by the patient, thus precluding blood pressure telemonitoring as a way to meet the blood pressure goal. To counter this barrier, advocacy in telemedicine is needed so that telemonitoring as a data collection tool is included in quality measures.
Should You Search the Internet for Information About Your Acute Symptom?
North, Frederick , Ward, William J. , Varkey, Prathibha, Tulledge‐Scheitel, Sidna M.

Telemedicine and e-Health | February 24, 2012 | Volume: 18 | Issue: 3 | Pages: 213-218

10.1089/tmj.2011.0127 Get It

Predictors of Osteoporosis Screening Completion Rates in a Primary Care Practice
DeJesus, Ramona S. , Chaudhry, Rajeev , Angstman, Kurt B. , Cha, Stephen S., Tulledge‐Scheitel, Sidna M. , Kesman, Rebecca L., Bernard, Matthew , Stroebel, Robert J. , Cha, Stephen S.

Population Health Management | April 20, 2011 | Volume: 14 | Issue: 5 | Pages: 243-247

10.1089/pop.2010.0057 Get It

The United States Preventive Services Task Force and the National Osteoporosis Foundation recommend routine osteoporosis screening for women aged 65 years or older. Previous studies have shown that the use of a clinical decision-support tool significantly improves screening rates. In a recently published study, a statistically significant improvement was found in the screening rates for eligible women with use of the tool. To evaluate whether a clinical decision-support tool independently predicts completion of osteoporosis screening tests and to identify predictors of screening completion, we examined the records of 2462 female patients who were eligible for osteoporosis screening but had no prior baseline screening and who were seen in our primary care practices in 2007 and 2008. Patient and provider characteristics and clinic visit type were identified, and their association with screening test completion was statistically analyzed using both univariate and multivariate models. Screening completion rates increased significantly from 2007 to 2008. Factors associated with increased likelihood of screening completion included race, marital status, residence, presence of comorbidity (cancer, rheumatologic disease), and the year and type of visit. Screening was less likely for women aged 80 years or older. The use of a point-of-care decision-support tool not only improved osteoporosis screening rates significantly but appeared to be an independent predictor of screening completion. It potentially can facilitate the systematic and effective delivery of preventive health services to patients in the primary care setting. ( Population Health Management 2011;14:243–247)
Are e-Health Web Users Looking for Different Symptom Information Than Callers to Triage Centers?
North, Frederick , Varkey, Prathibha, Laing, Brian Yoshio, Cha, Steven S., Tulledge‐Scheitel, Sidna M. , Cha, Steven S.

Telemedicine and e-Health | January 7, 2011 | Volume: 17 | Issue: 1 | Pages: 19-24

10.1089/tmj.2010.0120 Get It

Introduction: Telemedicine options for symptom assessment include both telephonic means (call centers) and Internet sites. Although symptom assessment call centers have been available for decades, symptom assessment over the Internet is relatively new. It is not well known what types of symptoms Internet users are seeking assessment for and whether extant telephone triage algorithms would be applicable to Internet users. Methods: Symptom assessments on a heavily used Internet site ( MayoClinic.com ) were compared with symptom calls to a U.S. call center (Ask Mayo Clinic). Results: Internet users sought symptom assessments about adult symptoms 13 times more often than children's symptoms. In contrast, over the telephone, adult symptoms were addressed 2.1 times more frequently than children's symptoms. Despite the differences in frequencies of adult and child symptom assessments, users of the Internet and telephone callers asked about specific symptoms with similar relative frequencies. Analysis of 20 adult symptom types shared by the Web and call center revealed that by excluding only 2 assessments (nasal symptoms and leg pain) the remaining 18 showed a significant correlation in counts of use ( r 2 = 0.68, p < 0.001 for linear trend). Conclusions: Internet users have symptoms assessed in similar proportions to callers, with a few exceptions. Compared with callers, Web users are much more likely looking for information about adult symptoms. Callers are proportionally asking more about acute symptoms, whereas Internet users appear more interested in symptom assessment of chronic conditions.