Identification of cognitive impairment, depression, and fatigue among multiple sclerosis patients in a large comprehensive care center: A mixed-methods, qualitative study.

BACKGROUND: Despite studies suggesting a high prevalence of cognitive impairment, depression, and fatigue (CDF) among patients with multiple sclerosis (MS), standardized CDF tools are used infrequently in clinical practice, potentially resulting in underdiagnosis. We documented the use of standardized tools to identify CDF in MS and sought to understand provider attitudes toward the tools and their use. METHODS: This mixed-methods study analyzed electronic health records (EHRs) from a large US urban MS center to determine the frequency and types of CDF screenings and numbers of MS treatment encounters (January 2018-December 2019). Participants included neurologists and nurse practitioners with ≥30 eligible patients and a convenience sample of adult MS patients (≥18 years) with at least outpatient encounters during the study period. Semistructured provider interviews (n = 6; the principal investigator and 1 provider were excluded) were conducted, transcribed, coded, and analyzed to characterize screening patterns. Assessments included proportions of encounters and patients who had standardized CDF screenings, positive screening results, and documentation of a treatment recommendation, as well as provider attitudes toward tools and reported barriers and facilitators for use. Bivariate analysis was used to evaluate the relationship between screening rates and patient and provider covariates for groups with sufficient sample size (n = 30). RESULTS: The final population included 260 unique patients, 489 outpatient encounters, and 8 providers. Of 260 patients (75% female, 83% aged <65 years), 24% (n = 63) were screened with a depression tool. Only 2% (n = 4) were screened with a tool measuring cognitive impairment, and none were screened with a tool measuring fatigue. Screening rates varied little by provider type. Higher depression screening rates were associated with white race (difference: 13.2%; 95% CI: 2.8-23.5%; P = .01), ≤2 visits during the study period (difference: 7.6%; 95% CI: 0.6-14.5%; P = .03), and provider experience >10 years (difference: 14.6%; 95% CI: 3.5-25.8%; P = .01). Lack of support staff and perception of limited treatment options were commonly cited barriers to standardized screening in provider interviews. The higher rate of depression screening is likely driven by institutional culture and priorities. CONCLUSION: Providers recognize the importance of CDF to patients, despite infrequent use of standardized screening. Integrating screening into institutional practices may enable ongoing tracking of assessment scores and provide a more comprehensive and longitudinal picture of symptom progression.

Impact of an interdisciplinary malnutrition quality improvement project at a large metropolitan hospital.

As many as 50% of hospitalised patients are estimated to be malnourished or at risk of malnutrition on hospital admission, but this condition often goes unrecognised, undiagnosed and untreated. Malnutrition is associated with an elevated need for continued medical interventions, higher costs of care and increased patient safety risks. Tampa General Hospital (TGH), a large teaching hospital in the southeastern USA, initiated a project to improve the quality of patient care at its institution. They did this first by focusing on improving the care quality for their malnourished patients (or patients who were at risk of malnourishment) and by using elements of the national Malnutrition Quality Improvement Initiative (MQii) Toolkit as a mechanism to measure and improve quality. The aim of this study was to evaluate the impact of quality improvement interventions on patient length of stay (LOS), infection rates and readmissions, particularly for malnourished patients. The structure of the MQii and the use of the MQii Toolkit helped staff members identify problems and systematically engage in quality improvement processes. Using the MQii Toolkit, TGH implemented a multipronged approach to improving the treatment of malnourished patients that involved creating interdisciplinary teams of staff and identifying gaps in care that could be improved through a series of changes to hospital-wide clinical workflows. They enhanced interdisciplinary coordination through increased dietitian engagement, the use of electronic health record alerts and new surgical protocols. These interventions lasted 8 months in 2016 and data reported here were collected from 985 patients before the interventions (2015) and 1046 patients after the interventions (2017). The study examines how these process changes affected LOS, infection rates and readmissions at TGH. Following implementation of these quality improvement processes, patients who were malnourished or at risk of malnutrition had a 25% reduction in LOS (from 8 to 6 days, p<0.01) and a 35.7% reduction in infection rates (from 14% to 9%, p<0.01). No statistically significant changes in readmission rates were observed. This study adds to a growing body of literature on quality improvement processes hospitals can undertake to better identify and treat malnourished patients. Hospitals and health systems can benefit from adopting similar institution-wide, quality improvement projects, while policy-makers' support for such programmes can spur more rapid uptake of nutrition-focused initiatives across care delivery settings.

Improving Malnutrition in Hospitalized Older Adults: The Development, Optimization, and Use of a Supportive Toolkit.

Malnutrition is a leading cause of morbidity and mortality, especially among older adults. However, diagnosis and treatment of malnutrition in the hospital setting are often overlooked. In recent years, quality improvement (QI) initiatives to increase the assessment and treatment of malnutrition in hospital settings have been implemented and shown to improve both patient health and economic outcomes. The Malnutrition Quality Improvement Initiative (MQii) Toolkit was designed in an effort to support hospitals seeking to implement malnutrition QI initiatives. The Toolkit has been implemented, studied, and updated for optimization of content, adaptability, and usability over several cycles of improvement from 2016-2017 at more than 50 hospital centers in the United States. The result is an open access, customizable, and user-friendly MQii Toolkit that can facilitate the implementation of malnutrition QI initiatives in individual facilities. This article introduces the MQii Toolkit, describes the process by which it was designed and improved, and orients clinical care teams to its use. FUNDING/SUPPORT: Publication of this supplement was supported by Abbott. The Academy of Nutrition and Dietetics does not receive funding for the MQii. Avalere Health's work to support the MQii was funded by Abbott.

Extending the Reach of Hospital-Based Nutrition: A Registered Dietitian Nutritionist's Perspective on the Malnutrition Quality Improvement Initiative and Improving Patient Recovery.

Registered dietitian nutritionists (RDNs) at Legacy Salmon Creek Medical Center (Washington) recognized a need to use nutrition to help patients recover faster and stay independent longer. With the goal of decreasing 30-day hospital readmission rates, the RDNs at Legacy Salmon Creek developed a program for posthospital nutrition care. The intervention was a pilot program designed to provide palatable and nutritious meals to patients at home during a 4-week, postdischarge interval. The RDNs obtained approval from hospital administrators and received buy-in from nursing staff who participated in RDN-led training on malnutrition awareness and risk screening. Results of the pilot program indicated a high level of patient satisfaction and a decrease in the rate of readmissions. FUNDING/SUPPORT: Publication of this supplement was supported by Abbott. The Academy of Nutrition and Dietetics does not receive funding for the MQii. Avalere Health's work to support the MQii was funded by Abbott.

Effectiveness of the Malnutrition Quality Improvement Initiative on Practitioner Malnutrition Knowledge and Screening, Diagnosis, and Timeliness of Malnutrition-Related Care Provided to Older Adults Admitted to a Tertiary Care Facility: A Pilot Study.

BACKGROUND: Malnutrition is present in 30% to 50% of hospitalized patients aged 60 years or older. As few as 3.2% of patients identified as high risk have a malnutrition diagnosis documented by medical providers. The Malnutrition Quality Improvement Initiative (MQii) aims to reduce the burden of hospital malnutrition by improving the process and delivery of care. OBJECTIVE: To evaluate implementing the MQii toolkit of best practice resources for screening, diagnosis, documentation, and timeliness of malnutrition care. DESIGN: This 6-month prospective pilot included a 3-month intervention with training and education modules tailored to type of practitioner and integrated into existing teaching and clinical workflow. PARTICIPANTS/SETTING: Forty-five health care professionals from geriatric, general medicine, and general surgery units at Vanderbilt University Hospital during January to June 2016. MAIN OUTCOME MEASURES: Malnutrition knowledge by 30-item questionnaire; electronic medical record (EMR) documentation; and timeliness of malnutrition screening, diagnosis, intervention, and discharge planning. STATISTICAL ANALYSES: Analysis of variance was used to test change over time. RESULTS: Malnutrition knowledge score increased 14%, from 39% to 53% (P=0.009). All patients whose nutrition screen indicated they were malnourished/high risk had registered dietitian nutritionist diagnosis of malnutrition documented in the EMR. The proportion who had medical provider (physician, nurse practitioner, or physician assistant) malnutrition diagnosis documented in the EMR increased 11.6%, from 26.7% to 38.3% (P=0.08). About 95% of malnourished/high risk patients had a documented intervention addressing malnutrition. Inclusion of malnutrition care in the discharge plan increased 4.8%, from 70.0% to 74.8% (P=0.13). CONCLUSIONS: This pilot study demonstrated feasibility of implementing the MQii resources to improve malnutrition knowledge and professionals' skills relevant to screening, diagnosis, intervention, and timeliness of malnutrition care. By optimizing the process and delivery of malnutrition care, it is expected that the quality of clinical care provided to older adults with malnutrition or at high malnutrition risk will improve.