Impact of training on knowledge, confidence and attitude amongst community health volunteers in the provision of community-based palliative care in rural Kenya

Abstract Objectives Existing literature suggests multiple potential roles for community health volunteers (CHVs) in the provision of palliative care (PC) in low- and middle-income countries. In Kenya the role of CHV in the provision of PC has not been reported. The objective of this study was to assess knowledge, confidence, attitude, and clinical practice of community health volunteers after attending a novel palliative care (PC) training program. Methods A total of 105 CHVs participated in a 3-day in person training followed by a 1-month in person and telephone observation period of the palliative care activities in the community. Structured questionnaires were used pre- and post-training to assess knowledge acquisition, impact on practice, and content delivery. A mixed method study design was conducted 12-month post training to assess impact on clinical practice. Results Immediately after training, CHV provided positive ratings on relevance and content delivery. In the month following training, CHVs evaluated 1,443 patients, referred 154, and conducted 110 and 129 tele consults with the patients and PC providers respectively. The follow up survey at 12 months revealed improved knowledge and confidence in various domains of palliative care including symptom and spiritual assessment and provision of basic nursing and bereavement care. Focus group discussions revealed the CHVs ability to interpret symptoms, make referrals, improved communication/ interpersonal relationships, spiritual intervention, patient comfort measures and health care practices as newly learned and practiced skills. Conclusions We noted improved knowledge, new skills and change in practice after CHVs participation in a novel training curriculum. CHVs can make important contributions to the PC work force and be first line PC providers in the community as part of larger hub and spoke care model.