Implementation of a Hearing Loss Screening Intervention in Primary Care.

PURPOSE: Hearing loss (HL) is underdiagnosed and often unaddressed. A recent study of screening for HL using an electronic prompt showed efficacy in increasing appropriate referrals for subsequent testing. We build on the results of this study using a qualitative lens to explore implementation processes through the perspectives of family medicine clinicians. METHODS: We collected clinic observations and semistructured interviews of family medicine clinicians and residents who interacted with the HL prompt. All data were analyzed using thematic, framework, and mixed methods integration strategies. RESULTS: We interviewed 27 clinicians and conducted 10 observations. Thematic analysis resulted in 6 themes: (1) the prompt was overwhelmingly viewed as easy, simple to use, accurate; (2) clinicians considered prompt as an effective way to increase awareness and conversations with patients about HL; (3) clinician and staff buy-in played a vital role in implementation; (4) clinicians prioritized prompt during annual visits; (5) medical assistant involvement in prompt workflow varied by health system, clinic, and clinician; (6) prompt resulted in more conversations about HL, but uncertain impact on patient outcomes. Themes are presented alongside constructs of normalization process theory and intervention outcomes. CONCLUSION: Integration of a HL screening prompt into clinical practice varied by clinician buy-in and beliefs about the impact on patient outcomes, involvement of medical assistants, and prioritization during clinical visits. Further research is needed to understand how to leverage clinician and staff buy-in and whether implementation of a new clinical prompt has sustained impact on HL screening and patient outcomes.

Effective Hearing Loss Screening in Primary Care: The Early Auditory Referral-Primary Care Study.

PURPOSE: Hearing loss, the second most common disability in the United States, is under-diagnosed and under-treated. Identifying it in early stages could prevent its known substantial adverse outcomes. METHODS: A multiple baseline design was implemented to assess a screening paradigm for identifying and referring patients aged ≥55 years with hearing loss at 10 family medicine clinics in 2 health systems. Patients completed a consent form and the Hearing Handicap Inventory for the Elderly (HHI). An electronic alert prompted clinicians to screen for hearing loss during visits. RESULTS: The 14,877 eligible patients during the study period had 36,701 encounters. Referral rates in the family medicine clinics increased from a baseline rate of 3.2% to 14.4% in 1 health system and from a baseline rate of 0.7% to 4.7% in the other. A general medicine comparison group showed referral rate increase from the 3.0% baseline rate to 3.3%. Of the 5,883 study patients who completed the HHI 25.2% (n=1,484) had HHI scores suggestive of hearing loss; those patients had higher referral rates, 28% vs 9.2% (P <.001). Of 1,660 patients referred for hearing testing, 717 had audiology data available for analysis: 669 (93.3%) were rated appropriately referred and 421 (58.7%) were considered hearing aid candidates. Overall, 71.5% of patients contacted felt their referral was appropriate. CONCLUSION: An electronic alert used to remind clinicians to ask patients aged ≥55 years about hearing loss significantly increased audiology referrals for at-risk patients. Audiologic and audiogram data support the effectiveness of the prompt. Clinicians should consider adopting this method to identify patients with hearing loss to reduce its known and adverse sequelae.

Interactivity in a Decision Aid: Findings From a Decision Aid to Technologically Enhance Shared Decision Making RCT.

INTRODUCTION: Colorectal cancer screening (CRCS) remains underutilized. Decision aids (DAs) can increase patient knowledge, intent, and CRCS rates compared with "usual care," but whether interactivity further increases CRCS rate remains unknown. STUDY DESIGN: A two-armed RCT compared the effect of a web-based DA that interactively assessed patient CRC risk and clarified patient preference for specific CRCS test to a web-based DA with the same content but without the interactive tools. SETTING/PARTICIPANTS: The study sites were 12 community- and three university-based primary care practices (56 physicians) in southeastern Michigan. Participants were men and women aged 50-75 years not current on CRCS. INTERVENTION: Random allocation to interactive DA (interactive arm) or non-interactive DA (non-interactive arm). MAIN OUTCOME MEASURES: Primary outcome was medical record documentation of CRCS 6 months after the intervention. Secondary outcome was patient decision quality (i.e., knowledge, preference clarification, and intent) measured immediately before and after DA use, and immediately after the office visit. To determine that either DA had a positive effect on CRCS adherence, usual care CRCS rates were determined from the three university-based practices among patients eligible for but not participating in the study. RESULTS: Data were collected between 2012 and 2014; analysis began in 2015. At 6 months, CRCS rate was 36.1% (95% CI=30.5%, 42.2%) in the interactive arm (n=284) and 40.5% (95% CI=34.7%, 46.6%) in the non-interactive arm (n=286, p=0.29). Usual care CRCS rate (n=440) was 18.6% (95% CI=15.2%, 22.7%), significantly lower than both arms (p<0.001). Knowledge, attitude, self-efficacy, test preference, and intent increased significantly within each arm versus baseline, but the rate was not significantly different between the two arms. CONCLUSIONS: The interactive DA did not improve the outcome compared to the non-interactive DA. This suggests that the resources needed to create and maintain the interactive components are not justifiable. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT01514786.

To act or not to act: responses to electronic health record prompts by family medicine clinicians.

Objective: A major focus of health care today is a strong emphasis on improving the health and quality of care for entire patient populations. One common approach utilizes electronic clinical alerts to prompt clinicians when certain interventions are due for individual patients being seen. However, these alerts have not been consistently effective, particularly for less visible (though important) conditions such as hearing loss (HL) screening. Materials and Methods: We conducted hour-long cognitive task analysis interviews to explore how family medicine clinicians view, perceive, and use electronic clinical alerts, and to utilize this information to design a more effective alert using HL identification and referral as a model diagnosis. Results: Four key direct barriers were identified that impeded alert use: poor standardization and formatting, time pressures in primary care, clinic workflow variations, and mental models of the condition being prompted (in this case, HL). One indirect barrier was identified: electronic health record and institution/government regulations. We identified that clinicians' mental model of the condition being prompted was probably the major barrier, though this was often expressed as time pressure. We discuss solutions to each of the 5 identified barriers, such as addressing physicians' mental models, by focusing on physicians' expertise rather than knowledge to improve their comfort when caring for patients with the conditions being prompted. Conclusions: To unleash the potential of electronic clinical alerts, electronic health record and health care institutions need to address some key barriers. We outline these barriers and propose solutions.

Initial Results of the Early Auditory Referral-Primary Care (EAR-PC) Study.

INTRODUCTION: Hearing loss (HL) is the second most common disability in the U.S., yet is clinically underdiagnosed. To manage its common adverse psychosocial and cognitive outcomes, early identification of HL must be improved. METHODS: A feasibility study conducted to increase screening for HL and referral of patients aged ≥55 years arriving at two family medicine clinics. Eligible patients were asked to complete a self-administered consent form and the Hearing Handicap Inventory (HHI). Independently, clinicians received a brief educational program after which an electronic clinical prompt (intervention) alerted them (blinded to HHI results) to screen for HL during applicable patient visits. Pre- and post-intervention differences were analyzed to assess the proportion of patients referred to audiology and those diagnosed with HL (primary outcomes) and the audiology referral appropriateness (secondary outcome). Referral rates for those who screened positive for HL on the HHI were compared with those who scored negatively. RESULTS: There were 5,520 eligible patients during the study period, of which 1,236 (22.4%) consented. After the intervention's implementation, audiology referral rates increased from 1.2% to 7.1% (p<0.001). Overall, 293 consented patients (24%) completed the HHI and scored >10, indicating probable HL. Of these 293 patients, 28.0% were referred to audiology versus only 7.4% with scores <10 (p<0.001). Forty-two of the 54 referred patients seen by audiology were diagnosed with HL (78%). Overall, the diagnosis of HL on problem lists increased from 90 of 4,815 patients (1.9%) at baseline to 163 of 5,520 patients (3.0%, p<0.001) over only 8 months. CONCLUSIONS: The electronic clinical prompt significantly increased audiology referrals for at-risk patients for HL in two family medicine clinics. Larger-scale studies are needed to address the U.S. Preventive Services Task Force call to assess the long-term impact of HL screening in community populations.

Correlates of Patient Intent and Preference on Colorectal Cancer Screening.

INTRODUCTION: Information is limited on patient characteristics that influence their preference among screening options and intent to be screened for colorectal cancer (CRC). A mechanistic pathway to intent and preference was examined through a formal mediation analysis. METHODS: From 2012 to 2014, a total of 570 adults aged 50-75 years were recruited from 15 primary care practices in Metro Detroit for a trial on decision aids for CRC screening. Confirmatory factor, regression, and mediation analyses were performed in 2015-2016 on baseline cross-sectional data. Main outcomes were patient intent and preference. Perceived risk and self-efficacy were secondary outcomes. Covariates included demographic information, health status, previous CRC screening experience, patient attitudes, and knowledge. RESULTS: Mean age was 57.7 years, 56.1% were women, and 55.1% white and 36.6% black. Women had 32% and 41% lower odds than men of perceiving CRC to be high/moderate risk (OR=0.68, 95% CI=0.47, 0.97, p=0.03) and having high self-efficacy (OR=0.59, 95% CI=0.42, 0.85, p=0.006), respectively. Whites had 63% and 47% lower odds than blacks of having high self-efficacy (OR=0.37, 95% CI=0.25, 0.57, p<0.001) and intent to undergo CRC screening (OR=0.53, 95% CI=0.34, 0.84, p=0.007), respectively. Younger age, higher knowledge, lower level of test worries, and medium/high versus low self-efficacy increased the odds of intent of being screened. Self-efficacy, but not perceived risk, significantly mediated the association between race, attitude, and test worries and patient screening intent. CONCLUSIONS: Self-efficacy mediated the association between race, attitude, and test worries and patient intent.

Relationships between serum and colon concentrations of carotenoids and fatty acids in randomized dietary intervention trial.

Little is known about the effect of preventive diets on colonic nutrient concentrations. This study randomized 120 persons at increased risk of colon cancer to a Mediterranean versus a Healthy Eating diet for six months. The former targeted increases in whole grains, fruits, vegetables, monounsaturated, and n3 fats. The Healthy Eating diet was based on Healthy People 2010 recommendations. At baseline, dietary fat and carotenoid intakes were poorly associated (Spearman ρ < 0.4) with serum and colon concentrations. Strong associations were observed between serum and colon measurements of ß-cryptoxanthin (ρ = 0.58; P < 0.001), α-carotene (ρ = 0.48; P < 0.001), and ß-carotene (ρ = 0.45; P < 0.001). After six months, the Healthy Eating intervention increased serum lutein, ß-, and α-carotene significantly (P < 0.05). In the Mediterranean arm, the significant increases were in serum lutein, ß-cryptoxanthin, ß-carotene, monounsaturated, and n3 fats. A significant group-by-time interaction (P = 0.03) was obtained for monounsaturated fats. Colonic increases in carotenoids and n3 fats were significant only in Healthy Eating arm, whereas the group-by-time interaction was significant for ß-carotene (P = 0.02) and α-carotene (P = 0.03). Changes in colon concentrations were not significantly associated with reported dietary changes. Changes in colon and serum concentrations were strongly associated for ß-cryptoxanthin (ρ = 0.56; P < 0.001) and α-carotene (ρ = 0.40; P < 0.001). The associations between colonic and serum concentrations suggest the potential use of using serum concentration as a target in dietary interventions aimed at reducing colon cancer risk.

A Mediterranean dietary intervention in persons at high risk of colon cancer: recruitment and retention to an intensive study requiring biopsies.

This study recruited persons at increased risk of colon cancer to an intensive dietary intervention study that required biopsies of the colon by flexible sigmoidoscopy at baseline and after six months of intervention. A total of 1314 individuals contacted the study, and only 16 individuals indicated that the sigmoidoscopy procedure was an obstacle to study participation. A total of 270 individuals completed a screening visit and signed a screening consent form. Inquiries about the study tended to be fewer in the winter and late summer. Failure to return food records was the most common reason for exclusion. Dietary recall at enrollment indicated that subjects were consuming significantly more vegetables, lower sodium and a lower glycemic load on the day before starting the study vs. during the eligibility phase which might have an impact on biomarker measures. This makes it important to capture dietary changes in the period between determination of eligibility and enrollment. Subjects (n=120) were randomized to follow a Healthy Eating or a Mediterranean Diet, each of which required substantial dietary record-keeping. The study completion rate was 78%, and subjects reported high satisfaction with study participation. Of the 93 individuals who completed the study, only one refused the flexible sigmoidoscopy at the final visit. These findings suggest that flexible sigmoidoscopy does not appear to be a barrier for recruitment of high-risk individuals to an intensive dietary intervention trial, but that completing food records can be.