Quality Indicators for Major Depressive Disorder in Adults: A Review of Performance Measures by the American College of Physicians.

Major depressive disorder (MDD) is a severe mood disorder that affects at least 8.4% of the adult population in the United States. Characteristics of MDD include persistent sadness, diminished interest in daily activities, and a state of hopelessness. The illness may progress quickly and have devastating consequences if left untreated. Eight performance measures are available to evaluate screening, diagnosis, and successful management of MDD. However, many performance measures do not meet the criteria for validity, reliability, evidence, and meaningfulness.The American College of Physicians (ACP) embraces performance measurement as a means to externally validate the quality of care of practices, medical groups, and health plans and to drive reimbursement processes. However, a plethora of performance measures that provide low or no value to patient care have inundated physicians, practices, and systems and burdened them with collecting and reporting of data. The ACP's Performance Measurement Committee (PMC) reviews performance measures using a validated process to inform regulatory and accreditation bodies in an effort to recognize high-quality performance measures, address gaps and areas for improvement in performance measures, and help reduce reporting burden. Out of 8 performance measures, the PMC found only 1 measure (suicide risk assessment) that was valid at all levels of attribution. This paper presents a review of MDD performance measures and highlights opportunities to improve performance measures addressing MDD management.

The mobilization of nurse-client therapeutic relationships in injectable opioid agonist treatment: Autonomy, advocacy and action.

INTRODUCTION: Injectable opioid agonist treatment (iOAT) is an evidence-based treatment that serves an important minority of people with opioid use disorder who require specialized care. Unique to iOAT care is the consistency with which clients access treatment (up to three times daily), a condition that creates repeated opportunities for health care engagement. To date, no study has examined therapeutic relationships in this life saving, nurse-led treatment that can have lasting implications in the equitable delivery of other forms of addictions care. METHODS: This study used grounded theory to generate a dynamic framework for therapeutic relationship building in iOAT. Researchers collected semi-structured interviews from registered nurses working in iOAT sites (n=24) form January 2020 through June 2022. The study analyzed collected data through a constant comparative analysis; explored through open, axial, and selective coding; and assessed in a conditional relationship matrix. The team reviewed key findings with stakeholders through formalized processes of engagement to confirm saturation of coding categories. Throughout data collection and analysis, researchers integrated feedback from additional knowledge users and member checking. Reported findings adhered to the COREQ1 standardized checklist. RESULTS: We identified five interrelated categories that created a distinct culture of care for iOAT nurses: Ways of Knowing, Personal Investment, Leveraging Empathy, Finding Flexibility, and Collaborating to Overcome. Through creating a safe, nonjudgmental environment, nurses establish therapeutic relationships that build trust to identify client needs outside of medication administration. In turn, nurses participate in team-based problem solving to advocate for client needs. If nurses cannot find flexibility within and outside of the health care system to improve client engagement, tensions can arise and therapeutic relationships can be strained. CONCLUSIONS: Therapeutic relationships are an integral part of building and maintaining trust with a population that has been precariously involved with other forms of health care. Nurses make a substantial effort to create a safe and nonjudgmental environment to manifest a culture of care that bridges client needs and program access. Without the expansion of access to iOAT programs and their embedded services, nurses are limited in their ability to provide individualized care for clients with diverse needs.

Can automated alerts within computerized physician order entry improve compliance with laboratory practice guidelines for ordering Pap tests?

BACKGROUND: The electronic health record (EHR) provides opportunity to improve health and enhance appropriate test utilization through decision support. Electronic alerts in the order entry system can guide test use. Few published reports have assessed the impact of automated alerts on compliance of Pap ordering with published screening guidelines. METHODS: Programming rules for Pap test ordering were developed within the EHR (Epic, Madison, WI) of the University of California, Davis Health System using American College of Obstetrics and Gynecology's 2009 guidelines and implemented in primary care clinics in 2010. Alerts discouraged Pap orders in women <21 and >71 years and displayed when an order was initiated. Providers were not prevented from placing an order. Results were measured during four calendar periods: (1) pre-alert (baseline) (July 2010 to June 2011), (2) post alert (alerts on) (July 2011 to December 2011), (3) inadvertent alert turn-off ("glitch") (January 2012 to December 2012), (5) post-glitch (alerts re-instated) (1/2013-7/2013). Metrics used to measure alert impact were between time and period seasonally adjusted relative frequency ratios. RESULTS: Alerts were most effective in the <21 year old age group. During the baseline period 2.7 Pap tests were order in patients less than age 21 for every 100 Paps in those 21-71 years of age. This relative frequency decreased to 1.7 in the post-alert period and 1.4 during the glitch, with an even greater decline to 0.8 post-glitch when alerts were reinstated. Less impact was observed in the >70 year old group where the baseline relative frequency was 2.4 and declined to 2.1 post-alert, remained stable at 2.0 during the glitch period, and declined again to 1.7 post-glitch when alerts were reinstated. This likely reflects inclusion of women with a history of abnormal Pap tests for whom continued Pap testing is indicated, as well as reluctance by providers and patients to accept discontinuation of Pap testing for women with a history of normal Pap results. In both age groups, decreases in ordering were greatest when the alerts were functioning, indicating that the alerts had an effect beyond the influences of the environment. CONCLUSIONS: Discouraging alerts can impact ordering of Pap tests and improve compliance with established guidelines, thus avoiding unnecessary follow-up tests that can create potential patient harm and unnecessary expense. Alerts represent a potential model to address utilization of other lab tests. Longer study intervals are necessary to determine if provider compliance is maintained.