Citations

Background: Advance care planning (ACP) is an instrumental mechanism aimed at preserving patient autonomy. Numerous interventions have been proposed to facilitate the implementation of ACP; however, rates of completed advance directives (ADs) are universally low. Patient electronic portal messaging is a newer tool in patient–provider communication which has not been studied as a method to promote ACP. In this study, we hypothesized that the use of ACP-specific patient electronic messages would increase rates of AD completion in patients aged 65 years and older in an academic primary care practice. Methods: All primary care patients, aged 65+, who had previously enrolled in a patient electronic messaging system, within an academic primary care practice, were included for randomization. Two hundred patients were randomized to receive an electronic message. The primary outcome was the proportion of patients in each group who completed an AD, 3 months after intervention. Secondary outcomes included clinical utility of the completed ADs and proportion of patients who viewed their electronic messages. Results: The intervention group completed an AD 5.5% of the time when compared to 2% in the control group (odds ratio 3.2 [1.6-6.3]). Up to 74.5% of patients opened their electronic messages. Conclusion: Among primary care patients aged 65 years and older, use of AD-specific electronic messaging statistically significantly increased the rate of AD completion, but the absolute number of completed AD remained relatively low. These data suggest that this valuable communication tool holds opportunities for further improvement. Older, frailer adults were more likely to complete an AD, and prompted directives were more likely to include a written expression of the individual’s health-care values and preference.

Background: The Apple (Cupertino, CA) HealthKit is a new telemonitoring platform that promises to make it easier for patients and healthcare institutions to collect, transmit, and store data from devices that monitor common conditions such as diabetes, hypertension, and asthma. To assess the potential use for this platform in primary care, we need to know how many Apple Healthkit users there are and if they have conditions that could benefit from telemonitoring. Materials and Methods: We examined patients in the Mayo Clinic primary care practice in Rochester, MN, who registered to connect to their Mayo Clinic medical record with Apple HealthKit. We used the primary care registry to identify users with chronic conditions of diabetes, hypertension, asthma, and depression. We also examined users for recent measurements of blood pressure, glucose, hemoglobin A1C, and cholesterol. Results: Of 98,151 patients there were 503 registrants of HealthKit. There were 95 (19%) who had hypertension, 37 (7.4%) who had diabetes, 125 (25%) who had depression, and 56 (11%) who had asthma. Overall, there were 245 (49%) who had readily telemonitorable conditions. Conclusions: Almost half of primary care Apple HealthKit registrants have conditions that could benefit from telemonitoring. This pre-installed telemonitoring platform, available on every new iPhone ® (Apple), can be used to monitor a significant number of primary care patients. However, it also has continued provider and informatics barriers that need to be addressed.

Because of the complexity of cervical cancer prevention guidelines, clinicians often fail to follow best-practice recommendations. Moreover, existing clinical decision support (CDS) systems generally recommend a cervical cytology every three years for all female patients, which is inappropriate for patients with abnormal findings that require surveillance at shorter intervals. To address this problem, we developed a decision tree-based CDS system that integrates national guidelines to provide comprehensive guidance to clinicians. Validation was performed in several iterations by comparing recommendations generated by the system with those of clinicians for 333 patients. The CDS system extracted relevant patient information from the electronic health record and applied the guideline model with an overall accuracy of 87%. Providers without CDS assistance needed an average of 1 minute 39 seconds to decide on recommendations for management of abnormal findings. Overall, our work demonstrates the feasibility and potential utility of automated recommendation system for cervical cancer screening and surveillance.

Background: Clinical decision support (CDS) for primary care has been shown to improve delivery of preventive services. However, there is little evidence for efficiency of physicians due to CDS assistance. In this article, we report a pilot study for measuring the impact of CDS on the time spent by physicians for deciding on preventive services and chronic disease management. Methods: We randomly selected 30 patients from a primary care practice, and assigned them to 10 physicians. The physicians were requested to perform chart review to decide on preventive services and chronic disease management for the assigned patients. The patients assignment was done in a randomized crossover design, such that each patient received 2 sets of recommendations—one from a physician with CDS assistance and the other from a different physician without CDS assistance. We compared the physician recommendations made using CDS assistance, with the recommendations made without CDS assistance. Results: The physicians required an average of 1 minute 44 seconds, when they were they had access to the decision support system and 5 minutes when they were unassisted. Hence the CDS assistance resulted in an estimated saving of 3 minutes 16 seconds (65%) of the physicians’ time, which was statistically significant ( P < .0001). There was no statistically significant difference in the number of recommendations. Conclusion: Our findings suggest that CDS assistance significantly reduced the time spent by physicians for deciding on preventive services and chronic disease management. The result needs to be confirmed by performing similar studies at other institutions.

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.

AbstractAims and objectivesThe aim of this study was to assess the impact of historical screening compliance with the effectiveness of patient reminder letters on cervical cancer screening rates.MethodUsing population‐based informatics systems, women with no cervical cancer screening in the prior 3 years were identified in two primary care clinics, Mayo Family Clinic Northeast (NE; n = 1613) and Northwest (NW; n = 1088). Patients were divided into two compliance groups: overdue/unknown screening status at study start or previously compliant. The NE Clinic sent reminder letters over a 6 months window to patients eligible for screening at the study start or during the study that were also identified as employees/dependents (E/D). There were 795 intervention (NE Clinic E/D patients) and 1906 control subjects. Using an intent‐to‐treat analysis, differences in screening rates were assessed.ResultsA higher unadjusted screening rate was observed for the E/D group than the non‐E/D group at both sites (32.7 versus 18.2% at NW, P < 0.001; 39.0 versus 14.7% at NE, P < 0.001). For the historically compliant group, unadjusted screening rates were higher for those who received letters (E/D subjects at NE) versus those who did not (E/D subjects at NW; 56.1 versus 44.5%, P = 0.01). No difference was observed between E/D subjects at NE (received letters) and NW (no letters) for the overdue/unknown group (27.4 versus 25.9%, P = 0.62). There was no difference in screening rates for non‐E/D subjects at NE versus at NW (none of whom received letters) for both the compliant (24.2 versus 30.6%, P = 0.18) and the overdue/unknown groups (11.9 versus 13.0%, P = 0.59). Multivariate logistic regression models showed a significant overall effect of E/D status (P = 0.006), compliance group (P < 0.001), and the interaction between clinic site and E/D status (P = 0.04).ConclusionAmong insured women, reminder letters appear to improve cervical cancer screening rates for those with a history of screening compliance. Reminder letters appear insufficient to motivate women if screening is overdue. Further investigation of the cohort of women overdue for screening is needed to develop interventions to successfully target this group.

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)

Physicians are often unable to guide patients through the advance care planning (ACP) process due to cost and time constraints. We conducted a retrospective analysis in the primary care setting targeting older adults without an advance medical directive (AMD). An ACP educational packet was sent to intervention patients before their health maintenance examination (HME). Additionally, their physicians had access to a computerized clinical decision support system on AMD completion at the time of the HME. Control participants’ physicians had access to the computerized decision support system and traditional resources only. All participants who received the packet were sent a follow-up survey. In all, 21.6% of intervention participants completed an AMD, compared with 4.1% of control participants. Combining clinical decision support systems and standardized processes enhances the ACP process.

There are opportunities to improve quality and safety of care provided to adult patients. The Plummer Project of the Department of Medicine at the Mayo Clinic (Rochester, MN, USA) is an initiative to redesign outpatient practice. We used multidisciplinary teams to standardize the tasks essential to improve patient care. With the initiative to standardize the rooming process, patient care and safety improved with greater accuracy of the medication list. The standardization also improved physician efficiency because trained clinical assistants helped address the needs of the patient. Physicians were satisfied by the new process and the technology enhancements. Clinical assistants were also highly satisfied by the training process. The quality and safety of patient care can be significantly improved by practice redesign. This practice redesign was satisfying for all, especially the patients, physicians and support team in our practice.