61 Medication access and supply issues as a barrier to good symptom management: how big is the problem?

Author(s):  
Laura Nohavicka ◽  
Bhumik Patel ◽  
Anna Chadwick ◽  
Myra Bluebond-Langner
Author(s):  
Laura Nohavicka ◽  
Bhumik Patel ◽  
Anna Chadwick ◽  
Myra Bluebond-Langner

2007 ◽  
Vol 30 (4) ◽  
pp. 61
Author(s):  
J. Downar ◽  
J. Mikhael

Although palliative and end-of-life is a critical part of in-hospital medical care, residents often have very little formal education in this field. To determine the efficacy of a symptom management pocket card in improving the comfort level and knowledge of residents in delivering end-of-life care on medical clinical teaching units, we performed a controlled trial involving residents on three clinical teaching units. Residents at each site were given a 5-minute questionnaire at the start and at the end of their medicine ward rotation. Measures of self-reported comfort levels were assessed, as were 5 multiple-choice questions reflecting key knowledge areas in end-of-life care. Residents at all three sites were given didactic teaching sessions covering key concepts in palliative and end-of-life care over the course of their medicine ward rotation. Residents at the intervention site were also given a pocket card with information regarding symptom management in end-of-life care. Over 10 months, 137 residents participated on the three clinical teaching units. Comfort levels improved in both control (p < 0.01) and intervention groups (p < 0.01), but the intervention group was significantly more comfortable than the control group at the end of their rotations (z=2.77, p < 0.01). Knowledge was not significantly improved in the control group (p=0.07), but was significantly improved in the intervention group (p < 0.01). The knowledge difference between the two groups approached but did not reach statistical significance at the end of their rotation. In conclusion, our pocket card is a feasible, economical educational intervention that improves resident comfort level and knowledge in delivering end-of-life care on clinical teaching units. Oneschuk D, Moloughney B, Jones-McLean E, Challis A. The Status of Undergraduate Palliative Medicine Education in Canada: a 2001 Survey. Journal Palliative Care 2004; 20:32. Tiernan E, Kearney M, Lynch AM, Holland N, Pyne P. Effectiveness of a teaching programme in pain and symptom management for junior house officers. Support Care Cancer 2001; 9:606-610. Okon TR, Evans JM, Gomez CF, Blackhall LJ. Palliative Educational Outcome with Implementation of PEACE Tool Integrated Clinical Pathway. Journal of Palliative Medicine 2004; 7:279-295.


2020 ◽  
Author(s):  
Juqing Zhao ◽  
Pei Chen ◽  
Guangming Wan

BACKGROUND There has been an increase number of eHealth and mHealth interventions aimed to support symptoms among cancer survivors. However, patient engagement has not been guaranteed and standardized in these interventions. OBJECTIVE The objective of this review was to address how patient engagement has been defined and measured in eHealth and mHealth interventions designed to improve symptoms and quality of life for cancer patients. METHODS Searches were performed in MEDLINE, PsychINFO, Web of Science, and Google Scholar to identify eHealth and mHealth interventions designed specifically to improve symptom management for cancer patients. Definition and measurement of engagement and engagement related outcomes of each intervention were synthesized. This integrated review was conducted using Critical Interpretive Synthesis to ensure the quality of data synthesis. RESULTS A total of 792 intervention studies were identified through the searches; 10 research papers met the inclusion criteria. Most of them (6/10) were randomized trial, 2 were one group trail, 1 was qualitative design, and 1 paper used mixed method. Majority of identified papers defined patient engagement as the usage of an eHealth and mHealth intervention by using different variables (e.g., usage time, log in times, participation rate). Engagement has also been described as subjective experience about the interaction with the intervention. The measurement of engagement is in accordance with the definition of engagement and can be categorized as objective and subjective measures. Among identified papers, 5 used system usage data, 2 used self-reported questionnaire, 1 used sensor data and 3 used qualitative method. Almost all studies reported engagement at a moment to moment level, but there is a lack of measurement of engagement for the long term. CONCLUSIONS There have been calls to develop standard definition and measurement of patient engagement in eHealth and mHealth interventions. Besides, it is important to provide cancer patients with more tailored and engaging eHealth and mHealth interventions for long term engagement.


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