scholarly journals Dimensions of Pastoral Care: Student Wellbeing in Rural Catholic Schools

2006 ◽  
Vol 12 (2) ◽  
pp. 137 ◽  
Author(s):  
Alison Ollerenshaw ◽  
John McDonald
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Rural Communities ◽  
Pastoral Care ◽  
Catholic Schools ◽  
Service Needs ◽  
Health Care Needs ◽  
Service Model ◽  
Care Needs ◽  
Primary Health

This paper investigates the health and welfare needs of students (n = 15,806) and the current service model in Catholic schools in the Ballarat Diocese of Victoria, Australia. Catholic schools use a service model underpinned by an ethos of pastoral care; there is a strong tradition of self-reliance within the Catholic education system for meeting students' health and welfare needs. The central research questions are: What are the emerging health and welfare needs of students? How does pastoral care shape the service model to meet these needs? What model/s might better meet students? primary health care needs? The research methods involved analysis of (1) extant databases of expressed service needs including referrals (n = 1,248) to Student Services over the last 2.5 years, (2) trends in the additional funding support such as special needs funding for students and the Education Maintenance Allowance for families, and (3) semi-structured individual and group interviews with 98 Diocesan and school staff responsible for meeting students' health and welfare needs. Analysis of expressed service needs revealed a marked increase in service demand, and in the complexity and severity of students' needs. Thematic analysis of qualitative interview data revealed five pressing issues: the health and welfare needs of students; stressors in the school community; rural isolation; role boundaries and individualised interventions; and self-reliant networks of care. Explanations for many of these problems can be located in wider social and economic forces impacting upon the church and rural communities. It was concluded that the pastoral care model - as it is currently configured - is not equipped to meet the escalating primary health care needs of students in rural areas. This paper considers the implications for enhanced primary health care in both rural communities and in schools.

scholarly journals Primary Health Care Needs for Travel Medicine Training in Britain

1998 ◽  
Vol 5 (1) ◽  
pp. 3-6 ◽  
Author(s):  
Bernadette Carroll ◽  
Ronald H. Behrens ◽  
Darren Crichton
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Travel Medicine ◽  
Health Care Needs ◽  
Care Needs ◽  
Primary Health

Primary health care needs for a priority population: A survey of professional truck drivers

Work ◽  
2014 ◽  
Vol 49 (2) ◽  
pp. 175-181 ◽  
Author(s):  
Ricardo Angeles ◽  
Beatrice McDonough ◽  
Michelle Howard ◽  
Lisa Dolovich ◽  
Francine Marzanek-Lefebvre ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Truck Drivers ◽  
Health Care Needs ◽  
Care Needs ◽  
Primary Health ◽  
A Priority ◽  
Priority Population

scholarly journals Developing population segments with different levels of complexity and primary health care needs: An analysis using health administrative data in British Columbia, Canada

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Julia Langton ◽  
Sabrina Wong ◽  
Sandra Peterson ◽  
Kim McGrail
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Administrative Data ◽  
Health Care Needs ◽  
Care Needs ◽  
Health Administrative Data ◽  
Population Segmentation ◽  
Primary Health

ABSTRACTObjectivesPopulation subgroups can be been used organize health services and understand the quality of health care. Most commonly, populations are have been by specific diseases (e.g., health care received by diabetes patients), patient age (e.g., elderly populations), or life-stage (e.g., end-of-life care). However, these subgroups may not adequately capture the complexity and/or health care needs of different patient groups (e.g., multi-morbidity, frail elderly). Our objective is to use health administrative data to develop population segments based on patients’ primary health care needs.  ApproachOur development process occurred in three stages. First, we examined examples of population segmentation in the peer reviewed and grey literature to develop principles for our population segments. Second, we held a workshop with primary care patients, decision-makers, clinicians and researchers to seek their input on important considerations for the population segments. Third, we used health administrative data (physician claims, hospitalisations) to develop population segments for the British Columbia (BC, Canada) population. Segments were based on diagnosis codes over a two year period; for each segment we examined health care use and costs, overall and by service type, in 2014-15. ResultsWe designed our segments to be mutually exclusive, capture the vast majority of people who use primary care services, and range from healthy patients (fewer primary care needs) to more complex patients (more extensive needs). Stakeholders were supportive of population segmentation approach and suggested incorporating patient vulnerability and primary care involvement such that segments would range from patients whose needs could be fully met in primary care to those who require additional services such as specialists/acute care. Our first iteration includes three segments: stable (≤1 chronic condition, needs met by primary care); multi-morbid (≥2 chronic conditions, needs mostly met by primary care); and complex (≤1 chronic condition and presence of a health care event associated with the management of this condition suggesting the patients’ needs not fully met by primary care). ConclusionWe developed population segments designed to account for patient complexity and primary health care needs; as such, segments provide more information than traditional indices of morbidity burden based on counts of chronic conditions. These segments will be used to report information on the quality of primary care. We plan to include conduct validation studies using additional variables (e.g, socio-economic factors, level of vulnerability from patient surveys) so that segments more accurately represent the level of complexity and patients’ primary health care needs.

Sign in / Sign up

Export Citation Format

Share Document