Pubic Symphysis Separation and Regression in Vaginal versus Cesarean Delivery.

OBJECTIVE: To quantify the association of pubic symphysis separation with mode of delivery and follow the resolution of this physiologic separation in the postpartum period. METHODS: Prospective observational cohort study that recruited two cohorts of primiparous women: those undergoing vaginal and cesarean delivery (45 and 46 patients, respectively). Chart review collected intrapartum factors. Patients were followed with serial anterior-posterior radiographs within 48 hours of delivery and at 6, 12, and 24 weeks postpartum, to evaluate the extent of pubic symphysis separation. Differences between the two cohorts in intrapartum factors were assesses as was pubic symphysis separation at each time point. RESULTS: Mean age of women was 25.8 (SD 5.1) years, and 56% were White. Mean birth weight was 3.5 (SD 0.52) kg. Mean immediate postpartum pubic symphysis separation was 7.6 (SD 2.2) mm and did not differ between groups, at 7.18 mm for vaginal delivery versus 8.04 mm for cesarean delivery (CD; P = 0.08). Pubic symphysis separation was not significantly different for CD with and without labour. Black race and obesity were associated with increased pubic symphysis separation. No intrapartum events were related to extent of separation. Normalization of pregnancy pubic symphysis separation to 4-5 mm occurred by 6 weeks postpartum. Separation of >10mm and <15mm occurred in 10 of the 91 women and occurred after vaginal and cesarean delivery. The widest pubic symphysis separation was observed in 3 patients after vaginal delivery. CONCLUSION: Physiological pubic symphysis separation occursduring pregnancy and regresses postpartum with minimal effects from labour and delivery. Cesarean deliverydoes not prevent physiological pubic symphysis separation.

Primary care clinicians' opinions before and after implementation of cancer screening and prevention clinical decision support in a clinic cluster-randomized control trial: a survey research study.

BACKGROUND: Electronic health record (EHR)-linked clinical decision support (CDS) may impact primary care clinicians' (PCCs') clinical care opinions. As part of a clinic cluster-randomized control trial (RCT) testing a cancer prevention and screening CDS system with patient and PCC printouts (with or without shared decision-making tools [SDMT]) for patients due for breast, cervical, colorectal, and lung cancer screening and/or human papillomavirus (HPV) vaccination compared to usual care (UC), we surveyed PCCs at study clinics pre- and post-CDS implementation. Our primary aim was to learn if PCCs' opinions changed over time within study arms. Secondary aims including examining whether PCCs' opinions in study arms differed both pre- and post-implementation, and gauging PCCs' opinions on the CDS in the two intervention arms. METHODS: This study was conducted within a healthcare system serving an upper Midwestern population. We administered pre-implementation (11/2/2017-1/24/2018) and post-implementation (2/2/2020-4/9/2020) cross-sectional electronic surveys to PCCs practicing within a RCT arm: UC; CDS; or CDS + SDMT. Bivariate analyses compared responses between study arms at both time periods and longitudinally within study arms. RESULTS: Pre-implementation (53%, n = 166) and post-implementation (57%, n = 172) response rates were similar. No significant differences in PCC responses were seen between study arms on cancer prevention and screening questions pre-implementation, with few significant differences found between study arms post-implementation. However, significantly fewer intervention arm clinic PCCs reported being very comfortable with discussing breast cancer screening options with patients compared to UC post-implementation, as well as compared to the same intervention arms pre-implementation. Other significant differences were noted within arms longitudinally. For intervention arms, these differences related to CDS areas like EHR alerts, risk calculators, and ordering screening. Most intervention arm PCCs noted the CDS provided overdue screening alerts to which they were unaware. Few PCCs reported using the CDS, but most would recommend it to colleagues, expressed high CDS satisfaction rates, and thought patients liked the CDS's information and utility. CONCLUSIONS: While appreciated by PCCs with high satisfaction rates, the CDS may lower PCCs' confidence regarding discussing patients' breast cancer screening options and may be used irregularly. Future research will evaluate the impact of the CDS on cancer prevention and screening rates. TRIAL REGISTRATION: clinicaltrials.gov , NCT02986230, December 6, 2016.

Is Shared Decision-making Associated with Better Patient-reported Outcomes? A Longitudinal Study of Patients Undergoing Total Joint Arthroplasty.

BACKGROUND: Although shared decision-making (SDM) has knowledge and satisfaction benefits for patients and is promising, we lack data demonstrating that SDM is associated with better patient-reported functional outcomes. Such data would support the integration and prioritization of SDM into all aspects of orthopaedic care. QUESTIONS/PURPOSES: (1) Is a measure of SDM before total joint arthroplasty associated with better patient-reported outcome measures (PROMs) 1 year postoperatively? (2) What is the relationship between the measure of SDM and two measures of patient experience (patient rating of the provider and patient likelihood of recommending the provider) at 1 year postoperatively? METHODS: In this observational longitudinal survey-based study, patients receiving an initial THA or TKA from a large, multispecialty medical group in the Midwestern United States were surveyed after they were scheduled for surgery and again at 12 months after their procedure. The three-item collaboRATE measure of SDM was added to existing patient surveys of PROMs. However, the surgeons and their department had no organized approach to SDM during this time. The surveys also included the Oxford knee or hip score and two validated measures of patient experience (patient rating of the provider and whether a patient would recommend the provider). Of the 2779 eligible primary joint arthroplasties that occurred from April 23, 2018 to May 1, 2019, 48% (1334 procedures; 859 TKAs and 485 THAs) of the patients responded to both the preoperative and 12-month postoperative surveys. Most of the patients who were included in the analytic sample were white (93%; 1255 of 1344), with only 3% (37) using Medicaid benefits at the time of surgery. Differences between responders and nonresponders were present and explored in an analysis. Patient responses were analyzed in regression models to estimate the association between preoperative collaboRATE scores and the Oxford knee or hip scores, and patient experience measures 12 months postoperatively. RESULTS: There was a moderate, positive association between preoperative collaboRATE scores and the Oxford scores at 12 months, after adjustment for potential confounders such as patient age and preoperative functional score (ß = 0.58; 95% CI 0.14-1.02; p = 0.01). Similarly, patients with preoperative collaboRATE scores had marginally higher patient experience scores at 12 months postoperatively (ß = 0.14; 95% CI 0.05-0.24; p = 0.003) and were more likely to recommend their surgeon (OR 1.43; 95% CI 1.11-1.84; p = 0.005). The patient experience measures were also modestly correlated with collaboRATE scores in cross-sectional associations, both preoperatively and at 12 months postoperatively (0.29 ≤ r ≤ 0.54; p < 0.01). CONCLUSION: The association between preoperative collaboRATE scores and Oxford hip or knee scores suggests that SDM could be one tool to encourage better outcomes. Although previous studies have shown that SDM can improve patient experience, the lack of a strong correlation in our study suggests that PROMs and experience measures are separate domains, at least partly. Improving preoperative SDM between the surgeon and patient might help improve surgical outcomes for patients undergoing TKA and THA. LEVEL OF EVIDENCE: Level II, therapeutic study.

FINDINGS AND FUTURE DIRECTIONS FROM A SMOKING CESSATION TRIAL UTILIZING A CLINICAL DECISION SUPPORT TOOL.

BACKGROUND: Tobacco smoking is the leading cause of disease, death, and disability in the United States. Dental practitioners are advised to provide evidence-based smoking cessation interventions to their patients, yet dental practitioners frequently fail to deliver brief smoking cessation advice. OBJECTIVES: To test whether giving dental practitioners a clinical decisions support (CDS) system embedded in their electronic dental record would increase the rate at which patients who smoke (1) report receiving a brief intervention or referral to treatment during a recent dental visit, (2) taking action related to smoking cessation within 7 days of visit, and (3) stop smoking for 1 day or more or reduce the amount smoked by 50% within 6 months. METHODS: Two-group, parallel arm, cluster-randomized trial. From March through December 2019, 15 nonacademic primary care dental clinics were randomized via covariate adaptive randomization to either a usual care arm or the CDS arm. Adult smokers completed an initial telephone survey within 7 days of their visit and another survey after 6 months. RESULTS: Forty-three patients from 5 CDS and 13 patients from 2 usual care clinics completed the 7-day survey. While the proportion of patients who reported receipt of a brief intervention or referral to treatment was significantly greater in the CDS arm than the usual care arm (84.3% vs 58.6%; P = .005), the differences in percentage of patients who took any action related to smoking cessation within 7 days (44.4% vs 22.3%; P = .077), or stopped smoking for one day or more and/or reduced amount smoked by 50% within 6 months (63.1% vs 46.2%; P = .405) were large but not statistically significant. CONCLUSIONS: Despite interruption by COVID-19, these results demonstrate a promising approach to assist dental practitioners in providing their patients with smoking cessation screening, brief intervention and referral to treatment.

The impact of personalized clinical decision support on primary care patients' views of cancer prevention and screening: a cross-sectional survey.

BACKGROUND: Few studies have assessed the impact of clinical decision support (CDS), with or without shared decision-making tools (SDMTs), on patients' perceptions of cancer screening or prevention in primary care settings. This cross-sectional survey was conducted to understand primary care patient's perceptions on cancer screening or prevention. METHODS: We mailed surveys (10/2018-1/2019) to 749 patients aged 18 to 75 years within 15 days after an index clinical encounter at 36 primary care clinics participating in a clinic-randomized control trial of a CDS system for cancer prevention. All patients were overdue for cancer screening or human papillomavirus vaccination. The survey compared respondents' answers by study arm: usual care; CDS; or CDS + SDMT. RESULTS: Of 387 respondents (52% response rate), 73% reported having enough time to discuss cancer prevention options with their primary care provider (PCP), 64% reported their PCP explained the benefits of the cancer screening choice very well, and 32% of obese patients reported discussing weight management, with two-thirds reporting selecting a weight management intervention. Usual care respondents were significantly more likely to decide on colorectal cancer screening than CDS respondents (p < 0.01), and on tobacco cessation than CDS + SDMT respondents (p = 0.02) and both CDS and CDS + SDMT respondents (p < 0.001). CONCLUSIONS: Most patients reported discussing cancer prevention needs with PCPs, with few significant differences between the three study arms in patient-reported cancer prevention care. Upcoming research will assess differences in screening and vaccination rates between study arms during the post-intervention follow-up period. TRIAL REGISTRATION: clinicaltrials.gov , NCT02986230 , December 6, 2016.

Understanding primary care providers' perceptions of cancer prevention and screening in a predominantly rural healthcare system in the upper Midwest.

BACKGROUND: Cancer is the leading cause of death in the United States, with the burden expected to rise in the coming decades, increasing the need for effective cancer prevention and screening options. The United States Preventive Services Task Force has suggested that a shared decision-making process be used when clinicians and patients discuss cancer screening. The electronic medical record (EMR) often provides only reminders or alerts to primary care providers (PCPs) when screenings are due, a strategy with limited efficacy. METHODS: We administered a cross-sectional electronic survey to PCPs (n = 165, 53% response rate) at 36 Essentia Health primary care clinics participating in a large, National Cancer Institute-funded study on a cancer prevention clinical decision support (CDS) tool. The survey assessed PCP demographics, perceptions of the EMR's ability to help assess and manage patients' cancer risk, and experience and comfort level discussing cancer screening and prevention with patients. RESULTS: In these predominantly rural clinics, only 49% of PCPs thought the EMR was well integrated to help assess and manage cancer risk. Both advanced care practitioners and physicians agreed that cancer screening and informed discussion of cancer risks are important; however, only 53% reported their patients gave cancer screening a high priority relative to other health issues. CONCLUSIONS: The impact of EMR-linked CDS delivered to both patients and PCPs may improve cancer screening, but only if it is easy to use and saves PCPs time.

Key components of success in a randomized trial of blood pressure telemonitoring with medication therapy management pharmacists.

OBJECTIVES: The Hyperlink trial tested a 12-month intervention of home blood pressure (BP) telemonitoring with pharmacist case management in adults with uncontrolled hypertension. The intervention resulted in improved BP control compared with usual care at both 6 (72% vs. 45%; P < 0.001) and 12 months (71% vs. 53%; P = 0.005). We sought to investigate factors contributing to intervention success. DESIGN: Mixed-methods analysis of process of care data, patient focus groups, and pharmacist interviews. PARTICIPANTS: Data from 228 intervention patients were examined from the original 450 patients randomly assigned from 16 primary care clinics. Five patient focus groups and 4 pharmacist interviews were conducted to ascertain the patient and pharmacist perspective. Focus group and interview data were coded, and themes relevant to pharmacists were identified. OUTCOME MEASURES: Home BP readings of less than 135/85 mm Hg and patient focus group and pharmacist interview themes. RESULTS: Mean BP at the intake visit was 148/85 mm Hg. Antihypertensive medications were adjusted in 10% of patients at the initial in-person visit, 33% at phone visit 1, 36% at phone visit 2, and 19% at phone visit 3. Thereafter, medication changes declined. The mean home BP for patients at the first phone visit was 136/80 mm Hg, 126/74 mm Hg at 3 months, and 123/73 mm Hg at 5 months, with little change thereafter. Key components of success from patient and pharmacist interviews included a strong patient-pharmacist relationship, individualized treatment plans, and frequent phone contact with the pharmacist. CONCLUSION: Frequent adjustments to the antihypertensive treatment regimen based on home BP telemonitoring resulted in rapid lowering of BP. Our results suggest that an intensive telephone-based intervention with the key components of medication adjustments, a strong patient and pharmacist relationship, and individualized treatment plans can achieve BP control in only 3 months in many patients with uncontrolled hypertension.

A Successful Multifaceted Trial to Improve Hypertension Control in Primary Care: Why Did it Work?

BACKGROUND: It is important to understand which components of successful multifaceted interventions are responsible for study outcomes, since some components may be more important contributors to the intervention effect than others. OBJECTIVE: We conducted a mediation analysis to determine which of seven factors had the greatest effect on change in systolic blood pressure (BP) after 6 months in a trial to improve hypertension control. DESIGN: The study was a preplanned secondary analysis of a cluster-randomized clinical trial. Eight clinics in an integrated health system were randomized to provide usual care to their patients (n = 222), and eight were randomized to provide a telemonitoring intervention (n = 228). PARTICIPANTS: Four hundred three of 450 trial participants completing the 6-month follow-up visit were included. INTERVENTIONS: Intervention group participants received home BP telemonitors and transmitted measurements to pharmacists, who adjusted medications and provided advice to improve adherence to medications and lifestyle modification via telephone visits. MAIN MEASURES: Path analytic models estimated indirect effects of the seven potential mediators of intervention effect (defined as the difference between the intervention and usual care groups in change in systolic BP from baseline to 6 months). The potential mediators were change in home BP monitor use, number of BP medication classes, adherence to BP medications, physical activity, salt intake, alcohol use, and weight. KEY RESULTS: The difference in change in systolic BP was 11.3 mmHg. The multivariable mediation model explained 47 % (5.3 mmHg) of the intervention effect. Nearly all of this was mediated by two factors: an increase in medication treatment intensity (24 %) and increased home BP monitor use (19 %). The other five factors were not significant mediators, although medication adherence and salt intake improved more in the intervention group than in the usual care group. CONCLUSIONS: Most of the explained intervention effect was attributable to the combination of self-monitoring and medication intensification. High adherence at baseline and the relatively low intensity of resources directed toward lifestyle change may explain why these factors did not contribute to the improvement in BP.

The Impact of Text Messaging to Promote Patient Reported Outcome Measures (PROMs) Completion in Orthopedic Practice: Findings From a Randomized Controlled Study.

It is difficult to achieve high response rates to Patient Reported Outcome Measures (PROMs) surveys collected as part of clinical care. However, they are operationally and clinically important. To understand the impact of text message reminders on response rates to PROMs collected via email as part of routine care for hip or knee replacement surgery, initial nonresponders were randomized to receive a text reminder or not at 7 and 12 days, if needed. At day 7, the overall survey response rate was 63%. Model-derived estimates for survey return after this point were 51.1% (95% confidence interval [CI], 48.0%-54.2%) in the text arm compared to 34.5% (95% CI, 31.6%-37.6%) in the no text arm. The effect of text messages on response rates did not vary by subpopulations considered nor were there differences in rates of key outcomes between the 2 groups, suggesting that it did not impact any underlying response bias. Given the relative low cost of text messages, they can be an efficient means to increase response rates.

Protocol of a patient randomized clinical trial to improve medication adherence in primary care.

BACKGROUND: Enhanced awareness of poor medication adherence could improve patient care. This article describes the original and adapted protocols of a randomized trial to improve medication adherence for cardiometabolic conditions. METHODS: The original protocol entailed a cluster randomized trial of 28 primary care clinics allocated to either (i) medication adherence enhanced chronic disease care clinical decision support (eCDC-CDS) integrated within the electronic health record (EHR) or (ii) usual care (non-enhanced CDC-CDS). Enhancements comprised (a) electronic interfaces printed for patients and clinicians at primary care encounters that encouraged discussion about specific medication adherence issues that were identified, and (b) pharmacist phone outreach. Study subjects were individuals who at an index visit were aged 18-74 years and not at evidence-based care goals for hypertension (HTN), diabetes mellitus (DM), or lipid management, along with low medication adherence (proportion of days covered [PDC] <80%) for a corresponding medication. The primary study outcomes were improved medication adherence and clinical outcomes (BP and A1C) at 12 months. Protocol adaptation became imperative in response to major implementation challenges: (a) the availability of EHR system-wide PDC calculations that superseded our ability to limit PDC adherence information solely to intervention clinics; (b) the unforeseen closure of pharmacies committed to conducting the pharmacist outreach; and (c) disruptions and clinic closures due to the Covid-19 pandemic. CONCLUSION: This manuscript details the protocol of a study to assess whether enhanced awareness of medication adherence issues in primary care settings could improve patient outcomes. The need for protocol adaptation arose in response to multiple implementation challenges.

Support and strategies for change among small patient-centered medical home practices.

PURPOSE: We aimed to determine the motivations and barriers facing small practices that seek to adopt the patient-centered medical home (PCMH) model, as well as the type of help and strategies they use. METHODS: We surveyed lead physicians at practices with fewer than 5 physicians, stratified by state and level of National Committee for Quality Assurance PCMH recognition, using a Web-based survey with telephone, fax, and mail follow-up. The response rate was 59%, yielding a total sample of 249 practices from 23 states. RESULTS: Improving quality and patient experience were the strongest motivations for PCMH implementation; time and resources were the biggest barriers. Most practices participated in demonstration projects or received financial rewards for PCMH, and most received training or other kinds of help. Practices found training and help related to completing the PCMH application to be the most useful. Training for patients was both less common and less valued. The most commonly used strategies for practice transformation were staff training, systematizing processes of care, and quality measurement/goal setting. The least commonly endorsed strategy was involving patients in quality improvement. Practices with a higher level of PCMH recognition were more likely to have electronic health records, to report barriers, and to use measurement-based quality improvement strategies. CONCLUSIONS: To spread the adoption of the PCMH model among small practices, financial support, practical training, and other help are likely to continue to be important. Few practices involved patients in their implementation, so it would be helpful to test the impact of greater patient involvement in the PCMH.

Patient characteristics associated with medication adherence.

OBJECTIVE: Despite evidence indicating therapeutic benefit for adhering to a prescribed regimen, many patients do not take their medications as prescribed. Non-adherence often leads to morbidity and to higher health care costs. The objective of the study was to assess patient characteristics associated with medication adherence across eight diseases. DESIGN: Retrospective data from a repository within an integrated health system was used to identify patients ≥18 years of age with ICD-9-CM codes for primary or secondary diagnoses for any of eight conditions (depression, hypertension, hyperlipidemia, diabetes, asthma or chronic obstructive pulmonary disease, multiple sclerosis, cancer, or osteoporosis). Electronic pharmacy data was then obtained for 128 medications used for treatment. METHODS: Medication possession ratios (MPR) were calculated for those with one condition and one drug (n=15,334) and then for the total population having any of the eight diseases (n=31,636). The proportion of patients adherent (MPR ≥80%) was summarized by patient and living-area (census) characteristics. Bivariate associations between drug adherence and patient characteristics (age, sex, race, education, and comorbidity) were tested using contingency tables and chi-square tests. Logistic regression analysis examined predictors of adherence from patient and living area characteristics. RESULTS: Medication adherence for those with one condition was higher in males, Caucasians, older patients, and those living in areas with higher education rates and higher income. In the total population, adherence increased with lower comorbidity and increased number of medications. Substantial variation in adherence was found by condition with the lowest adherence for diabetes (51%) and asthma (33%). CONCLUSIONS: The expectation of high adherence due to a covered pharmacy benefit, and to enhanced medication access did not hold. Differences in medication adherence were found across condition and by patient characteristics. Great room for improvement remains, specifically for diabetes and asthma.

Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control: a cluster randomized clinical trial.

IMPORTANCE: Only about half of patients with high blood pressure (BP) in the United States have their BP controlled. Practical, robust, and sustainable models are needed to improve BP control in patients with uncontrolled hypertension. OBJECTIVES: To determine whether an intervention combining home BP telemonitoring with pharmacist case management improves BP control compared with usual care and to determine whether BP control is maintained after the intervention is stopped. DESIGN, SETTING, AND PATIENTS: A cluster randomized clinical trial of 450 adults with uncontrolled BP recruited from 14,692 patients with electronic medical records across 16 primary care clinics in an integrated health system in Minneapolis-St Paul, Minnesota, with 12 months of intervention and 6 months of postintervention follow-up. INTERVENTIONS: Eight clinics were randomized to provide usual care to patients (n = 222) and 8 clinics were randomized to provide a telemonitoring intervention (n = 228). Intervention patients received home BP telemonitors and transmitted BP data to pharmacists who adjusted antihypertensive therapy accordingly. MAIN OUTCOMES AND MEASURES: Control of systolic BP to less than 140 mm Hg and diastolic BP to less than 90 mm Hg (<130/80 mm Hg in patients with diabetes or chronic kidney disease) at 6 and 12 months. Secondary outcomes were change in BP, patient satisfaction, and BP control at 18 months (6 months after intervention stopped). RESULTS: At baseline, enrollees were 45% women, 82% white, mean (SD) age was 61.1 (12.0) years, and mean systolic BP was 148 mm Hg and diastolic BP was 85 mm Hg. Blood pressure was controlled at both 6 and 12 months in 57.2% (95% CI, 44.8% to 68.7%) of patients in the telemonitoring intervention group vs 30.0% (95% CI, 23.2% to 37.8%) of patients in the usual care group (P = .001). At 18 months (6 months of postintervention follow-up), BP was controlled in 71.8% (95% CI, 65.0% to 77.8%) of patients in the telemonitoring intervention group vs 57.1% (95% CI, 51.5% to 62.6%) of patients in the usual care group (P = .003). Compared with the usual care group, systolic BP decreased more from baseline among patients in the telemonitoring intervention group at 6 months (-10.7 mm Hg [95% CI, -14.3 to -7.3 mm Hg]; P<.001), at 12 months (-9.7 mm Hg [95% CI, -13.4 to -6.0 mm Hg]; P<.001), and at 18 months (-6.6 mm Hg [95% CI, -10.7 to -2.5 mm Hg]; P = .004). Compared with the usual care group, diastolic BP decreased more from baseline among patients in the telemonitoring intervention group at 6 months (-6.0 mm Hg [95% CI, -8.6 to -3.4 mm Hg]; P<.001), at 12 months (-5.1 mm Hg [95% CI, -7.4 to -2.8 mm Hg]; P<.001), and at 18 months (-3.0 mm Hg [95% CI, -6.3 to 0.3 mm Hg]; P = .07). CONCLUSIONS AND RELEVANCE: Home BP telemonitoring and pharmacist case management achieved better BP control compared with usual care during 12 months of intervention that persisted during 6 months of postintervention follow-up. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00781365.

Barriers to improving primary care of depression: perspectives of medical group leaders.

Using clinical trials, researchers have demonstrated effective methods for treating depression in primary care, but improvements based on these trials are not being implemented. This might be because these improvements require more systematic organizational changes than can be made by individual physicians. We interviewed 82 physicians and administrative leaders of 41 medical groups to learn what is preventing those organizational changes. The identified barriers to improving care included external contextual problems (reimbursement, scarce resources, and access to/communication with specialty mental health), individual attitudes (physician and patient resistance), and internal care process barriers (organizational and condition complexity, difficulty standardizing and measuring care). Although many of these barriers are challenging, we can overcome them by setting clear priorities for change and allocating adequate resources. We must improve primary care of depression if we are to reduce its enormous adverse social and economic impacts.

De-Implementing Opioids for Dental Extractions (DIODE): a multi-clinic, cluster-randomized trial of clinical decision support strategies in dentistry.

BACKGROUND: Opioid pain relievers are commonly prescribed following dental extractions, but evidence shows that non-opioid analgesics often provide adequate pain relief with fewer risks. The current study examined clinical decision support (CDS) as a tool for de-implementing opioid prescribing in dentistry. METHODS: This prospective, cluster-randomized trial examined CDS for dental pain management at 22 HealthPartners Dental Group clinics in Minnesota. Dental providers (n = 49) were randomized to deliver care using CDS, CDS with patient education materials (CDS-E), or standard practice (SP). Randomization was stratified by provider type (dentist vs. oral surgeon) and baseline opioid prescribing volume. Patient records of dental extractions were examined for January 2019 through May 2021, representing a 12-month baseline and 15-month intervention period (N = 12,924). Opioid prescription at the visit (no vs. yes) was the primary outcome. Data were analyzed using generalized linear mixed models, adjusting for patient sex and age, extraction complexity, and baseline prescribing strata (volume and provider type). RESULTS: Patients were 56.2% female, with a mean age of 46.7 (SD = 20.0) years. Providers were 8% oral surgeons, 57% female, and with a mean age of 43.7 (SD = 11.2) years. There were significant decreases in opioid prescribing during the study (P < 0.001), representing a continuation of pre-existing trends to reduce opioid prescribing in these dental practices. There were no significant differences in opioid prescribing between CDS and SP (OR = 1.29; 97.5% CI = 0.93, 1.79; P = 0.08), or CDS-E and SP arms (OR = 1.27; 97.5% CI = 0.86, 1.79; P = 0.18). The direction of the association favored greater reductions in opioid prescribing in the SP arm. Despite training and implementation support, utilization of the CDS was low, particularly among oral surgeons, who were significantly more likely than other dentists to prescribe opioids. Among non-oral surgeon providers with the opportunity to access it, CDS utilization was not significantly associated with opioid prescribing. CONCLUSIONS: Equipping dentists with CDS resources, whether alone or accompanied by patient education materials, did not accelerate reductions in opioid prescribing beyond those observed in standard practice. Strategies are needed to enhance CDS utilization for patient care and safety surrounding analgesia following dental extractions. TRIAL REGISTRATION: Clinicaltrials.gov, NCT03584789.

De-implementing opioid prescribing in a dental group practice: Lessons learned.

BACKGROUND: Drug overdose has become a leading cause of accidental death in the United States. Between 2000 and 2015, the rate of deaths from drug overdoses increased 137%, including a 200% increase in the rate of overdose deaths involving opioids (including opioid pain relievers and heroin). Unnecessary opioid prescribing is one of the factors driving this epidemic. OBJECTIVES: The primary objective of this paper is to share lessons learned while conducting a randomized trial to de-implement opioids for post-extraction pain management utilizing clinical decision support (CDS) with and without patient education. The lessons learned from conducting this trial in a real-world setting can be applied to future dissemination and implementation oral health research. METHODS: The sources informing lessons learned were generated from qualitative interviews conducted with 20 of the forty-nine dental providers involved in the study following the implementation phase of the trial. Ongoing policy, social and environmental factors were tracked throughout the study. RESULTS: Dental providers in the trial identified the impact of training that involved health professionals sharing information about the personal impact of pain and opioid use. Additionally, they found utility in being presented with a dashboard detailing their prescribing patterns related to other dentists. For the 30 general dentists with access to the CDS, use of its portal varied widely, with most using it 10%-49% of the time related to extractions. CONCLUSIONS: In the context of a downward trend in opioid prescribing and considering the influence of the COVID pandemic during the trial, dental providers indicated benefit in training about negative personal impacts of prescribing opioids, and personally relevant feedback about their prescribing patterns. Only modest use of the CDS was realized. Implementation of this trial was impacted by governmental and health system policies and the COVID pandemic, prompt the consideration of implications regarding continuing ways to limit opioid prescribing among dental providers.

Clinical Decision Support to Reduce Opioid Prescriptions for Dental Extractions using SMART on FHIR: Implementation Report.

BACKGROUND: Clinical decision support (CDS) has the potential to improve clinical decision-making consistent with evidence-based care. CDS can be designed to save health care providers time and help them provide safe and personalized analgesic prescribing. OBJECTIVE: The aim of this report is to describe the development of a CDS system designed to provide dentists with personalized pain management recommendations to reduce opioid prescribing following extractions. The use of CDS is also examined. METHODS: This study was conducted in HealthPartners, which uses an electronic health record (EHR) system that integrates both medical and dental information upon which the CDS application was developed based on SMART (Substitutable Medical Applications and Reusable Technologies) on FHIR (Fast Healthcare Interoperability Resources). The various tools used to bring relevant medical conditions, medications, patient history, and other relevant data into the CDS interface are described. The CDS application runs a drug interaction algorithm developed by our organization and provides patient-specific recommendations. The CDS included access to the state Prescription Monitoring Program database. IMPLEMENTATION (RESULTS): The pain management CDS was implemented as part of a study examining opioid prescribing among patients undergoing dental extraction procedures from February 17, 2020, to May 14, 2021. Provider-level use of CDS at extraction encounters ranged from 0% to 87.4% with 12.1% of providers opening the CDS for no encounters, 39.4% opening the CDS for 1%-20% of encounters, 36.4% opening it for 21%-50% of encounters, and 12.1% opening it for 51%-87% of encounters. CONCLUSIONS: The pain management CDS is an EHR-embedded, provider-facing tool to help dentists make personalized pain management recommendations following dental extractions. The SMART on FHIR-based pain management CDS adapted well to the point-of-care dental setting and led to the design of a scalable CDS tool that is EHR vendor agnostic. TRIAL REGISTRATION: ClinicalTrials.gov NCT03584789; https://clinicaltrials.gov/study/NCT03584789.

Adapting a clinical decision support system to improve identification of pediatric hypertension in a rural health system: Design of a pragmatic trial.

BACKGROUND: Identifying hypertension (HTN) early is crucial in preventing and lowering the long-term risk of heart disease, yet HTN in children often goes undiagnosed. An electronic health record linked, web-based clinical decision support (CDS) called PedsBP can help address this care gap and has been previously shown to increase recognition of HTN by primary care clinicians. OBJECTIVES: To adapt the PedsBP tool for use in a mostly rural health system and then to evaluate the effectiveness of PedsBP for repeat of hypertensive level blood pressure (BP) measurements and HTN recognition among youth 6-17 years of age in primary care settings, comparing low-intensity and high-intensity implementation approaches. METHODS AND DESIGN: PedsBP was evaluated through a pragmatic, clinic-randomized trial. The tool was piloted in 2 primary care clinics and modified prior to the full trial. Forty community-based, primary care clinics (or clusters of clinics) were randomly allocated in a 1:1:1 ratio to usual care, low-intensity implementation (CDS only), or high-intensity implementation (CDS plus in-person training, monthly use reports, and ongoing communication between study staff and clinics). Accrual of eligible patients started on August 1, 2022 and will continue for 18 months. Primary outcomes include repeating hypertensive level BP measurements at office visits and clinical recognition of HTN. Secondary outcomes include lifestyle counseling, dietician referral, and BP at follow-up. CONCLUSION: This report focuses on the design and feasibility of adapting and implementing PedsBP in a rural primary care setting. The trial and analysis are ongoing with main results expected in mid-2024.

A comparison of dental restoration outcomes after placement by restorative function auxiliaries versus dentists.

OBJECTIVES: To compare the outcomes of restorations placed by restorative function auxiliaries (RFAs) with those placed by dentists. METHODS: Between July 1, 2007, and June 30, 2008, we matched 455 restorations placed by RFAs working at HealthPartners Dental Group with the same number placed by dentists. Restorations were matched by tooth number, American Dental Association procedure code, and patient age-group. RESULTS: Of 910 restorations, 17 (1.9 percent) had problems potentially related to the filling or crown placement during the first year. Problem rates were not significantly different (p = 0.33) for restorations placed by RFAs (1.3 percent, 6 of 455) and those placed by dentists (2.4 percent, 11 of 455). CONCLUSIONS: There was no significant difference in problem rates for restorations placed by RFAs versus those placed by dentists. This finding may free dentists to handle more difficult cases, alleviating some of the pressures of daily practice and meeting the need for improved access.

Is the Promise of PROMs Being Realized? Implementation Experience in a Large Orthopedic Practice.

Patient-reported outcome measures (PROMs), increasingly used for research and quality measurement, are lauded for their potential to improve patient-centered care, both through aggregate reporting and when integrated into clinical practice. However, there are few published studies of the resultant use of PROMs in clinical practice. This case study describes the implementation and use of PROMS in a Midwestern multispecialty medical group orthopedic practice among patients undergoing total knee and hip surgery. Specifically, rates of PROMs use by care teams are tracked over time once made available in the electronic health record. During this time, the orthopedics department achieved a patient PROMS survey response rate of 68% at baseline, 58% 3 months post-surgery, and 55% 12 months post-surgery. However, these data were only accessed by the care teams for fewer than 1% of associated clinical encounters. This suggests that making PROMs available for care team review in the electronic health record, even when coupled with relatively high response rates from patients and departmental leadership support is not enough to encourage integration of PROMs into clinical care for patients. Additional effort is required to identify barriers to PROMs use in clinical care and to test methods to enhance use.