The impact of decision aids to enhance shared decision making for diabetes (the DAD study): protocol of a cluster randomized trial.

BACKGROUND: Shared decision making contributes to high quality healthcare by promoting a patient-centered approach. Patient involvement in selecting the components of a diabetes medication program that best match the patient's values and preferences may also enhance medication adherence and improve outcomes. Decision aids are tools designed to involve patients in shared decision making, but their adoption in practice has been limited. In this study, we propose to obtain a preliminary estimate of the impact of patient decision aids vs. usual care on measures of patient involvement in decision making, diabetes care processes, medication adherence, glycemic and cardiovascular risk factor control, and resource utilization. In addition, we propose to identify, describe, and explain factors that promote or inhibit the routine embedding of decision aids in practice. METHODS/DESIGN: We will be conducting a mixed-methods study comprised of a cluster-randomized, practical, multicentered trial enrolling clinicians and their patients (n = 240) with type 2 diabetes from rural and suburban primary care practices (n = 8), with an embedded qualitative study to examine factors that influence the incorporation of decision aids into routine practice. The intervention will consist of the use of a decision aid (Statin Choice and Aspirin Choice, or Diabetes Medication Choice) during the clinical encounter. The qualitative study will include analysis of video recordings of clinical encounters and in-depth, semi-structured interviews with participating patients, clinicians, and clinic support staff, in both trial arms. DISCUSSION: Upon completion of this trial, we will have new knowledge about the effectiveness of diabetes decision aids in these practices. We will also better understand the factors that promote or inhibit the successful implementation and normalization of medication choice decision aids in the care of chronic patients in primary care practices. TRIAL REGISTRATION: NCT00388050.

Development and Feasibility of a Multidisciplinary Approach to AKI Survivorship in Care Transitions: Research Letter.

Background: Acute kidney injury (AKI) survivors are at heightened risk for poor short- and long-term health outcomes. Even among those who recover after an AKI episode, the risk for chronic kidney disease is 4- to 6-fold higher than in patients without AKI, underscoring the importance of identifying methods to improve AKI survivorship. Objective: The purpose of this report was to describe the development and feasibility of a novel multidisciplinary approach to caring for AKI survivors at care transitions (ACT). Design: Observational process improvement initiative. Setting: Single academic medical center in the United States. Patients: The studied population was adults with stage 3 AKI not discharging on dialysis who were established with a primary care provider (PCP) at our institution. Methods: An electronic health record tool was developed prior to implementation to identify AKI survivors. The ACT program encompassed engaging patients in the hospital, delivering education by nephrology-trained nurses before discharge, completing recommended laboratory testing after discharge, and conducting structured kidney-focused follow-up with a pharmacist and a PCP within 7 to 14 days after discharge. Patients could be referred for nephrology evaluation at the discretion of the PCP. Results: Preliminary data demonstrated that most AKI survivors of interest could be identified, educated, and followed up with this model. This strategy appeared feasible, scalable, and maximized the unique expertise of each member of the multidisciplinary team. Limitations: Small sample size, future assessment of process, clinical, and patient-reported outcomes needed. Conclusions: The multidisciplinary ACT workflow supported by clinical decision support was feasible and addressed gaps in existing care transition models. Team-based care delivery in primary care appears to be a mechanism to extend the capacity for kidney health monitoring for AKI survivors.

Contexte: Les patients qui survivent à un épisode d'insuffisance rénale aiguë (IRA) courent un risque plus élevé de mauvais résultats cliniques à court et à long terme. Même chez les patients qui se rétablissent, le risque de progression vers l'insuffisance rénale chronique (IRC) demeure de quatre à six fois plus élevé que chez les patients n'ayant jamais eu d'épisode d'IRA. Il est donc essentiel d'identifier des méthodes permettant d'améliorer la survie à un épisode d'IRA. Objectif: L'objectif de cette étude était de décrire l'élaboration et la faisabilité d'une nouvelle approche multidisciplinaire pour la prise en charge des survivants d'un épisode d'IRA en transition de soins (Approche multidisciplinaire en Transition de Soins­AmTS). Type d'étude: Initiative d'amélioration des processus menée par observation. Cadre: Un seul centre médical universitaire aux États-Unis. Sujets: La population étudiée était constituée d'adultes atteints d'IRA de stade 3 sans traitements de dialyse à leur sortie et qui avaient été mis en contact avec un fournisseur de soins primaires (FSP) dans l'établissement. Méthodologie: Avant la mise en œuvre de l'intervention, un outil de dossier de santé électronique a été développé pour identifier les survivants à un épisode d'IRA. Le programme de l'AmTS comprenait la participation des patients pendant leur séjour à l'hôpital, une formation donnée par des infirmières formées en néphrologie avant le congé, les tests de laboratoire recommandés après la sortie de l'hôpital et un suivi structuré axé sur la santé rénale avec un pharmacien et un FSP dans les 7 à 14 jours suivant la sortie de l'hôpital. Il a été laissé à la discrétion des FSP d'aiguiller ou non leurs patients pour une évaluation en néphrologie. Résultats: Des données préliminaires ont démontré qu'il était possible d'identifier, d'informer et d'assurer le suivi de la plupart des sujets d'intérêt (des survivants à un épisode d'IRA) avec ce modèle. Cette stratégie a semblé réalisable, évolutive et apte à optimiser l'expertise individuelle des membres de l'équipe multidisciplinaire. Limites: Faible taille de l'échantillon; une évaluation future du processus, des résultats cliniques et des résultats rapportés par les patients est nécessaire. Conclusion: Le processus de cette AmTS soutenue par une aide à la prise de décision clinique s'est avéré réalisable et a permis de combler les lacunes des modèles de transition des soins existants. Dans le contexte des soins primaires, la prestation de soins en équipe semble être un mécanisme permettant d'étendre la capacité de surveillance de la santé rénale des survivants à un épisode d'IRA.

Automated detection of follow-up appointments using text mining of discharge records.

OBJECTIVE: To determine whether text mining can accurately detect specific follow-up appointment criteria in free-text hospital discharge records. DESIGN: Cross-sectional study. SETTING: Mayo Clinic Rochester hospitals. PARTICIPANTS: Inpatients discharged from general medicine services in 2006 (n = 6481). INTERVENTIONS: Textual hospital dismissal summaries were manually reviewed to determine whether the records contained specific follow-up appointment arrangement elements: date, time and either physician or location for an appointment. The data set was evaluated for the same criteria using SAS Text Miner software. The two assessments were compared to determine the accuracy of text mining for detecting records containing follow-up appointment arrangements. MAIN OUTCOME MEASURES: Agreement of text-mined appointment findings with gold standard (manual abstraction) including sensitivity, specificity, positive predictive and negative predictive values (PPV and NPV). RESULTS: About 55.2% (3576) of discharge records contained all criteria for follow-up appointment arrangements according to the manual review, 3.2% (113) of which were missed through text mining. Text mining incorrectly identified 3.7% (107) follow-up appointments that were not considered valid through manual review. Therefore, the text mining analysis concurred with the manual review in 96.6% of the appointment findings. Overall sensitivity and specificity were 96.8 and 96.3%, respectively; and PPV and NPV were 97.0 and 96.1%, respectively. ANALYSIS: of individual appointment criteria resulted in accuracy rates of 93.5% for date, 97.4% for time, 97.5% for physician and 82.9% for location. CONCLUSION: Text mining of unstructured hospital dismissal summaries can accurately detect documentation of follow-up appointment arrangement elements, thus saving considerable resources for performance assessment and quality-related research.

Comparison of provider claims data versus medical records review for assessing provision of adult preventive services.

Administrative claims data are often used to assess the delivery of preventive services, yet there are important limitations. This study assessed the use of claims data to measure quality for pay-for-performance and as a preventive services screening tool compared with medical records review. Accuracy and bias in relying on claims data from a provider perspective were investigated, including a comparison of practice types. Claims data consistently underestimated the rate of preventive services, but the type of practice influenced accuracy. Claims data should be used cautiously, if at all, for pay for performance or to trigger reminders for preventive services completion.

Translating comparative effectiveness of depression medications into practice by comparing the depression medication choice decision aid to usual care: study protocol for a randomized controlled trial.

BACKGROUND: Comparative effectiveness research (CER) documents important differences in antidepressants in terms of efficacy, safety, cost, and burden to the patient. Decision aids can adapt this evidence to help patients participate in making informed choices. In turn, antidepressant therapy will more likely reflect patients' values and context, leading to improved adherence and mood outcomes. METHODS/DESIGN: The objective of this study is to develop the Depression Medication Choice decision aid for use during primary care encounters, and to test its efficacy by conducting a clustered practical randomized trial comparing the decision aid to usual depression care in primary care practices.We will use a novel practice-based, patient-centered approach based on participatory action research that involves a multidisciplinary team of designers, investigators, clinicians, patient representatives, and other stakeholders for the development of the decision aid. We will then conduct a clustered practical randomized trial enrolling clinicians and their patients (n = 300) with moderate to severe depression from rural, suburban and inner city primary care practices (n = 10). The intervention will consist of the use of the depression medication choice decision aid during the clinical encounter. This trial will generate preliminary evidence of the relative impact of the decision aid on patient involvement in decision making, decision making quality, patient knowledge, and 6-month measures of medication adherence and mental health compared to usual depression care. DISCUSSION: Upon completion of the proposed research, we will have developed and evaluated the efficacy of the decision aid depression medication choice as a novel translational tool for CER in depression treatment, engaged patients with depression in their care, and refined the process by which we conduct practice-based trials with limited research footprint. TRIAL REGISTRATION: Clinical Trials.gov: NCT01502891.

Lessons learned from the conduct of a multisite cluster randomized practical trial of decision aids in rural and suburban primary care practices.

BACKGROUND: The decision aids for diabetes (DAD) trial explored the feasibility of testing the effectiveness of decision aids (DAs) about coronary prevention and diabetes medications in community-based primary care practices, including rural clinics that care for patients with type 2 diabetes. METHODS: As originally designed, we invited clinicians in eight practices to participate in the trial, reviewed the patient panel of clinicians who accepted our invitation for potentially eligible patients, and contacted these patients by phone, enrolling those who accepted our invitation. As enrollment failed to meet targets, we recruited four new practices. After discussing the study with the clinicians and receiving their support, we reviewed all clinic panels for potentially eligible patients. Clinicians were approached to confirm participation and patient eligibility, and patients were approached before their visit to provide written informed consent. This in-clinic approach required study coordinators to travel and stay longer at the clinics as well as to screen more patient records for eligibility. The in-clinic approach was associated with better recruitment rates, lower patient retention and outcome completion rates, and a better intervention effect. RESULTS: We drew four lessons: 1) difficulties identifying potentially eligible patients threaten the viability of practical trials of DAs; 2) to improve the recruitment yield, recruit clinicians and patients for the study at the clinic, just before their visit; 3) approaches that improve recruitment may be associated with reduced retention and survey response; and 4) procedures that involve working closely with the practice may improve recruitment and may also affect the quality of the implementation of the interventions. CONCLUSION: Success in practice-based trials in usual primary care including rural clinics may require the smallest possible research footprint on the practice while implementing a streamlined protocol favoring in-clinic, in-person interactions with clinicians and patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT01029288.

Effectiveness of a quality improvement training course: Mayo Clinic Quality Academy.

This study assessed the effectiveness of Quality Academy Teams Training, a team-based process improvement program at Mayo Clinic. The study population consisted of employees who attended the course in 2008 (n = 103). A pretest-posttest design was used to assess learning by participants of the course, and gain score analysis was conducted using paired t test procedures. Electronic surveys were sent to participants 90 days following completion of the course to assess self-reported application of skills and process improvement tools in the work setting. The mean overall score (n = 99) for the posttest was 68%, which was a significant improvement from the pretest mean of 48% (P < .001). Survey results showed that respondents (n = 58) increased their use of 36 specific process improvement tools on the job after attending the training (P < .001). Other health care institutions may benefit from the implementation of quality-related training programs that teach employees to use process improvement tools and methods.

Effect of hospital follow-up appointment on clinical event outcomes and mortality.

BACKGROUND: Decreasing hospital readmission and patient mortality after hospital dismissal is important when providing quality health care. Interventions recently proposed by the Centers for Medicare and Medicaid Services to reduce avoidable hospital readmissions include providing patients with clear discharge instructions and appointments for timely follow-up visits. Although research has demonstrated a correlation between follow-up arrangements and reduced hospital readmission in specific patient populations, the effect of hospital follow-up in general medicine patients has not been assessed. METHODS: For this study, we reviewed hospital dismissal instructions for general medicine patients dismissed in 2006 from Mayo Clinic hospitals in Rochester, Minnesota (n = 4989), and determined whether specific appointment details for follow-up were documented. Survival analysis and propensity score-adjusted proportional hazards regression models were developed to investigate the association of follow-up appointment arrangements with hospital readmission, emergency department visits, and mortality at 30 and 180 days after discharge. RESULTS: Of the 4989 dismissal summaries, 3037 (60.9%) contained instructions for a follow-up appointment. No difference was found between those with a documented follow-up appointment vs those without regarding hospital readmission, emergency department visits, or mortality 30 days after dismissal. However, those with a documented follow-up appointment were slightly more likely to have an adverse event (hospital readmission, emergency department visit, or death) within 180 days after dismissal. CONCLUSIONS: Improved discharge processes, including arrangement of hospital follow-up appointments, do not appear to improve readmission rates or survival in general medicine patients. Therefore, national efforts to ensure follow-up for all patients after hospital dismissal may not be beneficial or cost-effective.