Reducing hospital aquired pneumonia (HAP) with Massey Screen.

2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 232-232
Author(s):  
Kerri Slavin ◽  
Robyn Dunbar ◽  
Cheryl Clements ◽  
Margaret Bonawitz ◽  
Joanne McGovern

232 Background: Hospital Acquired Pneumonia (HAP) is a leading cause of prolonged hospitalization in patients. The oncology population is especially susceptible to critical illness related to an immunocompromised state. The purpose of this study was to implement the Massey Bedside Swallowing Screen upon admission to the oncology telemetry unit to detect any deficits that could potentially lead to HAP, in conjunction with strict oral care for identified high risk patients. Methods: The importance of the Massey Bedside Swallowing Screen upon admission and the knowledge that early detection leads to better patient outcomes was educated to the nursing staff. Every patient admitted to the oncology telemetry unit was screened with the Massey Bedside Swallowing Screen. Patients identified as high-risk were placed on nothing-by-mouth (NPO) precaution. A Speech and Swallow Evaluation was ordered to further evaluate the patient. Acutely ill oncology patients unable to perform their own oral care were placed on a strict oral care regimen performed by the nursing staff. The charge nurse audited compliance with this protocol. Results: The pre-intervention phase of the study evaluated January – April 2015 included 1,605 patient days. The data revealed 4 HAPs acquired on the oncology telemetry unit, demonstrating 2.45 incidence/1000 patient days. Post-intervention [May – August 2015] indicated 2 HAPs acquired on the oncology telemetry unit, signifying 1.35 incidence/1000 patient days. With the implementation of the Massey Bedside Swallowing Screen for each patient upon admission, and strict oral care regimen for high-risk patients, the overall incidence of HAP on the unit decreased by 50%. Conclusions: Oncology patients assessed with the Massey Bedside Swallowing Screen upon admission to the oncology telemetry unit were noted to have improved outcomes and lower rates of HAP. Every oncology patient admitted to an acute care unit should have an admission screen in place to evaluate risk for aspiration. Early detection of patients at high-risk for HAP and implementation of interventions to improve oral care in high-risk patients lead to improved patient outcomes through lower incidence of HAP in the acute care setting.

Author(s):  
Alain Kalmar ◽  
Nicky Van Der Vekens ◽  
Henk Vanoverschelde ◽  
Diederik Van Sassenbroeck ◽  
Jan Heerman ◽  
...  

CHEST Journal ◽  
2010 ◽  
Vol 138 (4) ◽  
pp. 241A ◽  
Author(s):  
Peter Boyle ◽  
Derek Weycker ◽  
Anne Khuu ◽  
James R. Jett ◽  
Frank C. Detterbeck ◽  
...  

2017 ◽  
Vol 35 (8_suppl) ◽  
pp. 203-203 ◽  
Author(s):  
Chelsea Hertel ◽  
Amir Harandi ◽  
Cliff P. Connery ◽  
Dimitrios Papadopoulos ◽  

203 Background: Malnutrition is very common in patients receiving radiation therapy. This can result in significant weight loss, decreased functioning, depression, increased mortality, and dramatic declines in quality of life during and after treatment. Targeting patients at risk with nutritional counseling and progressive intervention can have important clinical implications. Methods: A total of 106 patients at a hospital-based cancer center getting radiation for a wide spectrum of cancers (breast, lung, gastrointestinal, genitourinary, and other types) were evaluated for individualized nutritional counseling and education. Patients with identified risk factors were deemed to be at high risk by nursing staff if meeting pre-specified criteria for weight loss ( > 2.5%), body mass index < 18.5%, and/or gastrointestinal symptoms (poor appetite, diarrhea, or constipation affecting quality of life). After high risk patients were identified by a nursing staff triage questionnaire, an automatic computer generated referral was made to the nutritionist. Results: Prior to the institution of this protocol, 13.7% of patients getting radiation therapy were noted to be at high risk and not receiving any nutritional intervention during their course of radiotherapy. However, after the initiation of adequate screening by nursing staff triggering a nutrition referral, the percentage of high risk patients without an associated nutrition consult declined to 1.1%. Conclusions: This study conveys important information for having a systemic screening process in place to identify those at risk for progressive malnutrition while getting radiotherapy for a broad spectrum of tumor types.


2020 ◽  
Vol 7 ◽  
pp. 205435812092261
Author(s):  
John Papastergiou ◽  
Michelle Donnelly ◽  
Wilson Li ◽  
Robert D. Sindelar ◽  
Bart van den Bemt

Background: Chronic kidney disease (CKD) is a condition presenting with long-term slow progression of structural and/or functional damage to the kidneys. Early detection is key to preventing complications and improving outcomes. Point-of-care estimated glomerular filtration rate (eGFR) screening technology allows for detection of abnormal kidney function in the community pharmacy setting. Objective: To evaluate the effectiveness of a community pharmacist-directed point-of-care screening program and to identify the prevalence of CKD in high-risk patients. Design: Quantitative observational. Setting: Four community pharmacies in British Columbia over a 6-month period. Patients: In all, 642 participants with at least one CKD risk factor were identified and screened. Mean age was 60 years and females accounted for 55% of the study population. Measurements: Serum creatinine was measured from peripheral blood using the HeathTab® screening system (Piccolo® Renal Function Panel with the Piccolo® blood chemistry analyzer). eGFR was calculated according to the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula. Methods: Patients provided a sample of peripheral blood via a self-administered finger-prick and analytical data to assess kidney function was reported including blood urea nitrogen (BUN), serum creatinine, and electrolytes by the HealthTab® screening system. Once results were available, the pharmacist conducted a comprehensive medication review with the patient and recommended certain follow-up actions if appropriate. Results: CKD risk factor included diabetes (30%), hypertension (45%), cardiovascular disease (12%), family history of kidney disease (13%), age over 55 years (68%), and an Aboriginal, Asian, South Asian, or African ethnic background (82%). A total of 11.5% of patients had eGFR values lower than 60 mL/min (abnormal renal function) and 34% had an eGFR between 60 and 89 mL/min (minimally reduced renal function). Overall pharmacists’ actions included blood pressure check (98%), education on CKD and risk factors (89%), medication review (72%), and physician follow-up (38%). Limitations included lack of follow-up beyond the 3-month study period prevented medical confirmation of CKD and limited the ability to quantify the impact of pharmacist interventions on the clinical outcomes of patients with low eGFR. Conclusion: These results illustrate the prevalence of abnormal renal function among undiagnosed, high-risk patients in the community. Pharmacists, as the most accessible healthcare practitioners, are ideally positioned to utilize novel point-of care technologies to improve access to CKD screening, facilitate follow-up, and increase awareness around the importance of early detection.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 2027-2027
Author(s):  
Robert Michael Daly ◽  
Gilad Kuperman ◽  
Alice Zervoudakis ◽  
Alice Ro ◽  
Ankita Roy ◽  
...  

2027 Background: Early detection and management of symptoms in patients with cancer improves outcomes, however, the optimal approach to symptom monitoring and management is unknown. This pilot program uses a mobile health intervention to capture and make accessible symptom data for high-risk patients to mitigate symptom escalation. Methods: Patients initiating antineoplastic treatment at a Memorial Sloan Kettering regional location were eligible. A dedicated staff of RNs and nurse practitioners managed the patients remotely. The technology supporting the program included: 1) a predictive model that identified patients at high risk for a potentially preventable acute care visit; 2) a patient portal enabling daily ecological momentary assessments (EMA); 3) alerts for concerning symptoms; 4) an application that allowed staff to review and trend symptom data; and 5) a secure messaging platform to support communications and televisits between staff and patients. Feasibility and acceptability were evaluated through enrollment (goal ≥25% of new treatment starts) and response rates (completion of > 50% of daily symptom assessments); symptom alerts; perceived value based on qualitative interviews with patients and providers; and acute care usage. Results: Between October 15, 2018 and July 10, 2019, the pilot enrolled 100 high-risk patients with solid tumors and lymphoma initiating antineoplastic treatment (median age: 66 years, 45% female). This represented 29% of patients starting antineoplastics. Over six months of follow-up, the response rate to the daily assessments was 56% and 93% of patients generated a severe symptom alert (Table). Both patients and providers perceived value in the program and 5,010 symptom-related secure messages were shared between staff and enrolled patients during the follow-up period. There was a preliminary signal in acute care usage with a 17% decrease in ED visits compared to a cohort of high-risk unenrolled patients. Conclusions: This pilot program of intensive monitoring of high-risk patients is feasible and holds significant potential to improve patient care and decrease hospital resources. Future work should focus on the optimal cadence of EMAs, the workforce to support remote symptom management, and how best to return symptom data to patients and clinical teams. [Table: see text]


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. TPS2086-TPS2086
Author(s):  
Nathan Handley ◽  
Adam Binder ◽  
Michael Li ◽  
Aliya Rogers ◽  
Valerie Pracilio Csik

TPS2086 Background: Acute care utilization (ACU), encompassing both emergency department visits and hospitalizations, is common in patients with cancer, with nearly three quarters of patients with advanced disease hospitalized at least once in the year after their diagnosis. Efforts to prospectively identify these patients prior to ACU have led to the development of a variety of scoring systems for specific cancer patient populations, including the elderly and those initiating palliative infusional chemotherapy. Prospectively identifying patients may enable early interventions to reduce ACU. However, few studies have demonstrated effective implementation of such prediction tools in clinical practice. We developed an oncology risk score (ORS) for active oncology patients (defined as patients with an active cancer diagnosis in the last 12 months who had a Medical Oncology encounter in a 180-day period ) to prospectively determine risk of ACU. Patients are defined as high risk (18% of patients, accounting for 57% of historical ACU), intermediate risk (25% of patients, accounting for 25% of ACU), or low risk (56% of patients, accounting for 18% of ACU) by the ORS. We are currently deploying a pragmatic implementation initiative to evaluate the impact of targeted nurse navigator (NN) outreach to patients defined as high risk for ACU by the ORS. Methods: The ORS is embedded within the health system electronic medical record. The ORS will be queried on a weekly basis. NNs will contact identified patients, prioritizing patients not yet identified by the navigation team by other means. Following chart review, NNs will either meet patients in person (if a visit is already planned within 24 hours) or complete standard navigation outreach and documentation (consisting of phone call and barrier assessment, as well as appropriate nursing intervention) if no visit is planned. NNs will determine follow up cadence based on clinical judgement. Efficacy will be determined using a case-control method. Case patients will be OCM patients defined as high risk by the ORS (historical n = 289); control patients will be non-OCM high risk patients (historical n = 388). The total number of patients in the case and control groups, as well as the proportion of patients in the group utilizing acute care, will be monitored over time. Proportion of high risk patients known to navigation will be tracked. ACU in medium and low risk groups will also be monitored. Targeted outreach to high risk patients using the ORS began on 2/5/2019.


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