ABSTRACT
AIM: This study evaluated an advanced care planning (ACP) training program incorporating online skills in shared decision making (SDM). METHOD: The New World Kirkpatrick Model was employed to assess the efficacy of the training program at four levels: reaction, learning, behavior, and results. Reaction measured the participants' satisfaction and difficulty with the training program alongside the status of support received from workplaces engaging in ACP. Learning evaluated the changes in SDM skills. Behavior assessed the changes in the relationship between patients and healthcare professionals when the latter were involved in the SDM process. Results evaluated whether the participants were willing to participate in ACP educational programs as a facilitator and whether their motivation for continuous learning changed through throughout the training program. The relationships among patients, healthcare providers, and third-party roles were analyzed in SDM role-playing via structural equation modeling (SEM). RESULTS: Between September 2020 and June 2022, 145 multidisciplinary participants completed the entirety of the training program. The most common responses to the training were "satisfied", "slightly difficult", and "I received some support from my workplace". The SDM skills significantly improved from the first to the third workshop, evaluated using the Wilcoxon rank-sum test. In the first workshop, SDM was primarily performed by healthcare providers; however, in the third workshop, patient-centered SDM was adopted. Of the participants who completed the program, 63% intended to participate in future ACP educational programs as ACP education facilitators. CONCLUSION: This study ascertained the validity of this training.
ABSTRACT
Objective: This pilot study aimed to examine the content of Japanese newspaper editorials concerning the coronavirus disease 2019 (COVID-19) pandemic and its change over time using text mining analysis. Materials and Methods: The authors analyzed qualitative data from the editorials of five national and 12 regional newspapers on April 7 and 8, 2020 (first state of emergency) and January 8, 2021 (second state of emergency). All analyses were conducted using KH Coder version 3. Results: The co-occurrence network showed a low level of content diversity and a high degree of politicization in the COVID-19 news coverage. The top five high frequency words from the newspapers were "infection", "declaration", "healthcare", "government", and "emergency" at the first state of emergency, and were "declaration", "measures", "government", and "restaurant" at the second one. Conclusion: The results suggest a lack of detailed information and recommendations concerning the public health challenges of the COVID-19 pandemic in Japanese newspaper editorials, even one year after the first wave of the pandemic. This study provides a data-driven foundation for the effectiveness of newspapers in COVID-19 public health communications. The extent to which the quantity and quality of information from newly emerging communication channels, such as social media, influences public understanding of public health measures remains to be established.
ABSTRACT
Advance care planning is considered an important issue in end-of-life care for older adults. The ongoing COVID-19 pandemic has interrupted the healthcare system and end-of-life care tremendously. This review aimed to explore available articles on advance care planning amid the pandemic and analyze qualitatively. PubMed and Google Scholar were searched on February 2021 using the relevant keywords. Retrieved articles were screened applying inclusion criteria. Any article describing advance care planning during the COVID-19 era was included. A qualitative content analysis was conducted. In total, 20 articles incorporating 5542 participants from five countries were included. Among the articles, eight were primary studies and the rest were perspective papers or secondary analysis. From the qualitative content analysis six major themes emerged namely palliative care, lack of coordination among acute care, hospital palliative care, and long-term care, community-based advance care planning, real-time dissemination of scientific information on the regional pandemic situation, online system and legislation. The COVID-19 pandemic had decreased the uptake of advance care planning. Findings of the review suggested simplification of the procedure regarding advance care planning, implementation of community-based advance care planning and utilization of online resources to enhance the process. Geriatr Gerontol Int 2021; 21: 779-787.
Subject(s)
Advance Care Planning , COVID-19 , Aged , Humans , Palliative Care , Pandemics , SARS-CoV-2ABSTRACT
Since the end of 2019, a life-threatening infectious disease (coronavirus disease 2019: COVID-19) has spread globally, and numerous victims have been reported. In particular, older persons tend to suffer more severely when infected with a novel coronavirus (SARS-CoV-2) and have higher case mortality rates; additionally, outbreaks frequently occur in hospitals and long-term care facilities where most of the residents are older persons. Unfortunately, it has been stated that the COVID-19 pandemic has caused a medical collapse in some countries, resulting in the depletion of medical resources, such as ventilators, and triage based on chronological age. Furthermore, as some COVID-19 cases show a rapid deterioration of clinical symptoms and accordingly, the medical and long-term care staff cannot always confirm the patient's values and wishes in time, we are very concerned as to whether older patients are receiving the medical and long-term care services that they wish for. It was once again recognized that it is vital to implement advance care planning as early as possible before suffering from COVID-19. To this end, in August 2020, the Japan Geriatrics Society announced ethical recommendations for medical and long-term care for older persons and emphasized the importance of conducting advance care planning at earlier stages. Geriatr Gerontol Int 2020; 20: 1112-1119.