Feasibility of the Transport PLUS intervention to improve the transitions of care for patients transported home by ambulance: a non-randomized pilot study.

BACKGROUND: The growing population of patients over the age of 65 faces particular vulnerability following discharge after hospitalization or an emergency room visit. Specific areas of concern include a high risk for falls and poor comprehension of discharge instructions. Emergency medical technicians (EMTs), who frequently transport these patients home from the hospital, are uniquely positioned to aid in mitigating transition of care risks and are both trained and utilized to do so using the Transport PLUS intervention. METHODS: Existing literature and focus groups of various stakeholders were utilized to develop two checklists: the fall safety assessment (FSA) and the discharge comprehension assessment (DCA). EMTs were trained to administer the intervention to eligible patients in the geriatric population. Using data from the checklists, follow-up phone calls, and electronic health records, we measured the presence of hazards, removal of hazards, the presence of discharge comprehension issues, and correction or reinforcement of comprehension. These results were validated during home visits by community health workers (CHWs). Feasibility outcomes included patient acceptance of the Transport PLUS intervention and accuracy of the EMT assessment. Qualitative feedback via focus groups was also obtained. Clinical outcomes measured included 3-day and 30-day readmission or ED revisit. RESULTS: One-hundred three EMTs were trained to administer the intervention and participated in 439 patient encounters. The intervention was determined to be feasible, and patients were highly amenable to the intervention, as evidenced by a 92% and 74% acceptance rate of the DCA and FSA, respectively. The majority of patients also reported that they found the intervention helpful (90%) and self-reported removing 40% of fall hazards; 85% of such changes were validated by CHWs. Readmission/revisit rates are also reported. CONCLUSIONS: The Transport PLUS intervention is a feasible, easily implemented tool in preventative community paramedicine with high levels of patient acceptance. Further study is merited to determine the effectiveness of the intervention in reducing rates of readmission or revisit. A randomized control trial has since begun utilizing the knowledge gained within this study.

Supporting the on-call primary care physician with community paramedicine.

Prior to being referred to the emergency department (ED), patients such as the frail elderly often call their primary care physician. However, the on-call primary care physician or covering provider does not always have the tools to make an accurate and safe assessment over the phone or to treat patients remotely. This often results in preventable transport to an ED, avoidable admissions and iatrogenic events. An opportunity exists to reduce unnecessary ED referrals by enhancing the capabilities of the on-call primary care physician. In this communication, we describe the development of a community paramedicine programme that supports on-call primary care providers managing a high-risk patient population with the goal of reducing avoidable ED referrals.

The role of reduced heart rate volatility in predicting disposition from the emergency department.

OBJECTIVE: Heart rate volatility (HRVO) is a physiological parameter that is believed to reflect the sympathetic activity of the autonomic nervous system. We explored the utility of HRVO as a predictive tool for declining physiological states, hypothesising that patients admitted from the resuscitation area of the ED to a high-dependency unit (HDU) experience low HRVO compared with patients who did not. METHODS: We retrospectively reviewed HR data recordings, medical charts and disposition decisions from the ED of patients who were admitted to the five resuscitation beds in our adult ED between 29 April 2014 and 30 May 2015. HRVO was calculated for each 5 min interval; it was measured as the SD of all HRs within that interval. Logistic regression was used to model the odds of admission to a HDU given low HRVO during ED stay. RESULTS: HR data from 2051 patients was collected and approximately 7 million HR data points were analysed. 402 patients experienced low HRVO. Patients who experienced low HRVO during their ED stay were twice as likely to be admitted to a HDU from the ED (OR=2.07, 95% CI 1.64 to 2.60; p<0.001). CONCLUSIONS: Our result provides additional evidence supporting previously published data indicating that autonomic nervous system measures such as HRVO could serve as important and useful clinical tools in the early triage of critically ill patients in the ED.