Use of a computer model and care coaches to increase advance care planning conversations for patients with metastatic cancer.

8 Background: Patients with metastatic cancer benefit from advance care planning (ACP) conversations. Despite initiatives which train providers to have ACP conversations using the serious illness care program (SICP) conversation guide, few patients have a documented prognosis discussion due to busy clinic schedules and difficulty in deciding the right times to have such conversations. We designed an intervention to improve ACP by incorporating a validated computer model to identify patients at high risk for mortality in combination with lay care coaches. We investigated whether this would improve end of life quality measures. Methods: Four Stanford clinics were included in this pilot; all received SICP training. Two clinics (thoracic and genitourinary) underwent the intervention (computer model + care coach), and two clinics (sarcoma and cutaneous) served as the control. For providers in the intervention, an email was sent every Sunday listing the metastatic cancer patients who would be seen in clinic the following week and a predicted prognosis generated by the model. A lay care coach contacted patients with a predicted survival ≤2 years to have an ACP conversation with them. After, the care coach notified the provider to suggest discussion regarding prognosis with the patient. Criteria for a patient visit to be included in the analysis were: age ≥18, established patient, has sufficient EMR data for computer model, and no prior prognosis documentation. The primary outcome was documentation of prognosis in the ACP form by the end of the week following the clinic visit. Results: 5330 visits in 1298 unique patients met the inclusion criteria. Median age was 67 (range 19-97); 790 male, 508 female. 1970 visits were with patients with ≤2 year predicted survival. Prognosis discussion was documented by providers in the ACP form for 8.1% of intervention visits compared to 0.07% of control visits (p=0.001 in mixed effects model). Of the 1298 unique patients, 84 were deceased by December 2020. 41.7% died in the hospital. 59.5% were enrolled in hospice prior to death, and 19.0% were hospitalized in the ICU ≤14 days prior to death. Of deceased patients with ACP form prognosis documentation, 5.0% had ≥2 hospitalizations in the 30 days before death compared to 23.4% of deceased patients with no prognosis documented (p=0.10). For ≥ 2 ER visits in the 30 days before death, the proportions were 5.0% and 20.3% (p=0.17). Conclusions: This pilot study supports that our intervention is associated with higher rates of prognosis discussions and documentation. There was a trend towards better quality of end of life care as noted by higher rates of hospice enrollment and less intensive care at end of life. These results merit further investigation as a means to improve goal-concordant care and ensure appropriate care for cancer patients at the end of life.

What resources do elderly people choose for managing their symptoms? Clarification of rural older people’s choices of help-seeking behaviors in Japan

Background Appropriate help-seeking behavior (HSB) that involves lay and professional care may moderate the usage of medical resources and promote good health, especially among the rural elderly. However, there is little evidence regarding the rural elderly’s HSB choices for mild symptoms. Therefore, this study attempts to bridge this gap. Methods The participants were patients living in rural areas and over the age of 65, who attended Japanese clinics and general hospitals. In Phase 1, monthly diaries and one-on-one interviews about their mild symptoms and HSB were used to establish HSB items and assess its content validity. Content analysis helped determine the items. In Phase 2, participants were asked to complete the list to measure HSB. The answers to the list and HSB mentioned in the diaries were compared to evaluate concurrent validity. Retests were conducted to examine the content’s reliability and test-retest reliability. Results Phase 1 included 267 participants (average age = 75.1 years, standard deviation [SD] = 4.3; 50.1% male). The diary collection rate was 97.6%. Of the participants, 70.4% used lay care and 25.4% used professional care. Content analysis identified eight types of lay care and four types of professional care. Phase 2 included 315 participants (average age = 77.7 years, SD = 8.27; 46.0% male). In terms of validity, the results of the list and the diaries were correlated (Spearman r 0.704; p < 0.001). The most common behavior with mild symptoms was consulting with primary care physicians, followed by self-care and using home medicine. The test-retest reliability for mild symptoms found kappa values of 0.836 for lay care and 0.808 for professional care. Conclusions The choices of HSB for mild symptoms clarified identified in this study have high validity and reliability. Therefore, it can be used to assess the relationships between HSB and health conditions and the effectiveness of health promotion on rural older people’s HSB.

What resources do elderly people choose for managing their symptoms? Clarification of rural older people’s choices of help-seeking behaviors in Japan

Background Appropriate help-seeking behavior (HSB) that involves lay and professional care may moderate the usage of medical resources and promote good health, especially among the rural elderly. However, there is little evidence regarding the rural elderly’s HSB choices for mild symptoms. Therefore, this study attempts to bridge this gap. Methods The participants were patients living in rural areas and over the age of 65, who attended Japanese clinics and general hospitals. In Phase 1, monthly diaries and one-on-one interviews about their mild symptoms and HSB were used to establish checklist items and assess content validity. Content analysis helped determine the items. In Phase 2, participants were asked to complete the checklist to measure HSB. The checklist answers and HSB mentioned in the diaries were compared to evaluate construct validity. Retests were conducted to examine the content’s reliability and test-retest reliability. Results Phase 1 included 267 participants (average age = 75.1 years, standard deviation [SD] = 4.3; 50.1% male). The diary collection rate was 97.6%. Of the participants, 70.4% used lay care and 25.4% used professional care. Content analysis identified eight types of lay care and four types of professional care. Phase 2 included 315 participants (average age = 77.7 years, SD = 8.27; 46.0% male). In terms of validity, the results of the checklists and the diaries were correlated (Spearman p 0.704; p < 0.001). The most common behavior with mild symptoms was consulting with primary care physicians, followed by self-care and using home medicine. The test-retest reliability for mild symptoms found kappa values of 0.836 for lay care and 0.808 for professional care. Conclusions The list of rural older people’s choices of HSB for mild symptoms had high validity and reliability. Therefore, it can be used to assess the relationships between HSB and health conditions and the effectiveness of health promotion on HSB among rural elderly people.

Women and Medicine: A Historical and Contemporary Study on Ghana

Women have always been central concerning the provision of healthcare. The transitions into the modern world have been very slow for women because of how societies classify women. Starting from lay care, women provided healthcare for their family and sometimes to the members of the community in which they lived. With no formal education, women served as midwives and served in other specialised fields in medicine. They usually treated their fellow women because they saw ‘women’s medicine’ as women’s business. They were discriminated against by the opposite sex and by the church, which regarded it as a taboo to allow women to practice medicine. This study points to a Ghanaian context on how the charismas of women have made them excel in their efforts to provide healthcare for their people. The study also focused on the role of indigenous practitioners who are mostly found in the rural areas and modern practitioners who are mostly found in the peri-urban, urban areas and larger cities in Ghana.

The implementation of a lay care navigation service at the Stanford Cancer Institute.

119 Background: Lay care navigators address barriers to care, provide a single point of contact in complex health systems, and help efficiently resolve non-clinical patient issues. Despite navigation program proliferation, each is crafted to fit local institutional and patient needs. In Summer 2016, Stanford Cancer Institute (SCI) launched a care navigation pilot to improve patient engagement, facilitate better access to services, and improve coordination. The Stanford Care Navigator (SCN) program was based on a framework for lay navigation from the University of Alabama at Birmingham (UAB) who consulted on this project. This study describes the evolution of the SCN model and drivers of changes as SCN was iteratively designed and implemented. Methods: Qualitative study including document review of training materials, observation of cross-functional design meetings, stakeholder interviews, and a focus group with Care Navigators. Results: In spite of common goals of reducing patient distress and improving care coordination, the resulting SCN service is quite distinct from the consulting organization. Primary factors driving design changes were differences in: clinic access, patient populations and needs (e.g., SCN language translation needs vs. UAB poverty-related barriers), and a suite of pre-existing services at SCI (e.g. referral triage). Navigators call all new patients to address common barriers (traffic, parking vs. lack of transportation in Alabama). SCN refers some service items (e.g., financial support) to existing service groups, including Social Work. Conclusions: While Stanford navigation retains elements of the UAB-originating lay navigator program, in this radically different setting, service parameters differ substantially. The model was, therefore, substantially adapted rather than simply adopted. Ongoing evaluation explores navigators’ impact on patients and staff/providers.