The term social model hospice first appeared late in the 20th century as a label for a complementary model to medical hospice care. Two decades later, the term is inconsistently defined and used by scholars, health care providers, public consumers, and those within the movement. The purpose of this review is to trace the development of the concept and confirm an evolving definition based on Rodgers' evolutionary method. Database and hand searching was done for the years 1975 to 2020, resulting in 25 publications for analysis. Unique antecedents include presence of a resource crisis, unmet needs falling outside the scope of medical hospice care, and desire to experience death outside the medical system and/or personal home. Attributes include a dedicated home, round-the-clock, individualized end-of-life care; care option when dying at home becomes unmanageable; collaboration with medical hospice services; nonprofit organization funded by community philanthropy; environment to support loved ones; and community volunteer involvement. Noted consequences are effective end-of-life care for dying patients and their families, innovative health care design, nationwide network of like-minded providers, and platform for end-of-life community education. Clarity of the concept will facilitate access to end-of-life care, further the model's development, formalize research endeavors, and foster community education.

Download full-text PDF

Source
http://dx.doi.org/10.1097/NJH.0000000000000785DOI Listing

Publication Analysis

Top Keywords

medical hospice
12
end-of-life care
12
social model
8
model hospice
8
care
8
hospice care
8
health care
8
community education
8
hospice
5
hospice concept
4

Similar Publications

Background: There is minimal literature on the outcomes of acute traumatic subdural hematoma (SDH) in patients 90 years of age or older. This study aims to characterize the presentation and acute outcomes of patients in this population, particularly for surgical candidates.

Methods: Patients 90 years of age or older with acute SDH between 2013-2023 were analyzed (n = 117).

View Article and Find Full Text PDF

The Brain Tumor Group (BTG) of the European Organization for Research and Treatment of Cancer (EORTC) conducts academic clinical trials and translational research to improve clinical management of patients with primary and secondary brain tumors. The EORTC BTG has traditionally played an important role in providing evidence and thus advancing the field, albeit with a main focus on radiotherapy and pharmacotherapy in gliomas. Although examples of well-designed neuro-oncological surgical trials can be found, evidence in surgical neuro-oncology predominantly includes data from uncontrolled prospective series or retrospective cohorts.

View Article and Find Full Text PDF

The molecular diagnosis of type 1 facioscapulohumeral muscular dystrophy (FSHD1) relies on the detection of a shortened D4Z4 array at the 4q35 locus. Until recently, the diagnosis of FSHD2 relied solely on the absence of a shortened D4Z4 allele in clinically affected patients. It is now established that most FSHD2 cases carry a heterozygous variant in the SMCHD1 gene.

View Article and Find Full Text PDF

Background: Although rare, uterine sarcomas account for a high proportion of uterine cancer mortality. Treatment options and robust trial data are limited.

Objectives: The TOURISM study (Treatment Outcomes in UteRIne SarcoMa) is a UK-wide study by the National Oncology Trainees Collaborative for Healthcare Research which aimed to characterise this patient cohort.

View Article and Find Full Text PDF

Objective: This study aimed to explore the social factors of patients and caregivers, including those related to their wishes for home-based end-of-life care that influence its fulfillment.

Methods: A secondary analysis was conducted using the dataset (home-based end-of-life care N = 625, hospital end-of-life care N = 7603) Comprehensive patient-based survey conducted by The Study on Quality Evaluation of Hospice and Palliative Care by Bereaved Caregivers (J-HOPE 4) and multivariate analysis (multiple logistic regression) to explore the impact of social factors of patients and caregivers on the fulfillment of home-based end-of-life care. The explanatory variables included 11 social factors of patients, such as age and sex, and 18 social factors of primary caregivers.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!