scholarly journals The Primary Care Spend Model: a systems approach to measuring investment in primary care

2019 ◽  
Vol 4 (4) ◽  
pp. e001601 ◽  
Author(s):  
Robert Baillieu ◽  
Michael Kidd ◽  
Robert Phillips ◽  
Martin Roland ◽  
Michael Mueller ◽  
...  

Increased investment in primary care is associated with lower healthcare costs and improved population health. The allocation of scarce resources should be driven by robust models that adequately describe primary care activities and spending within a health system, and allow comparisons within and across health systems. However, disparate definitions result in wide variations in estimates of spending on primary care. We propose a new model that allows for a dynamic assessment of primary care spending (PC Spend) within the context of a system’s total healthcare budget. The model articulates varied definitions of primary care through a tiered structure which includes overall spending on primary care services, spending on services delivered by primary care professionals and spending delivered by providers that can be characterised by the ‘4Cs’ (first contact, continuous, comprehensive and coordinated care). This unifying framework allows a more refined description of services to be included in any estimate of primary care spend and also supports measurement of primary care spending across nations of varying economic development, accommodating data limitations and international health system differences. It provides a goal for best accounting while also offering guidance, comparability and assessments of how primary care expenditures are associated with outcomes. Such a framework facilitates comparison through the creation of standard definitions and terms, and it also has the potential to foster new areas of research that facilitate robust policy analysis at the national and international levels.

2020 ◽  
Vol 59 (3) ◽  
pp. 252-258 ◽  
Author(s):  
Rachael J. Keefe ◽  
Bethanie S. Van Horne ◽  
Cary M. Cain ◽  
Katherine Budolfson ◽  
Richard Thompson ◽  
...  

The purpose of this study was to compare the utilization of primary care services and presence of mental health disorder diagnoses among children in foster care to children on Medicaid not in foster care in a large health system. The data for this study were analyzed from a clinical database of a multipractice pediatric health system in Houston, Texas. The sample included more than 95 000 children covered by Medicaid who had at least one primary care visit during the 2-year study period. The results of the study demonstrated that children not in foster care had a greater number of primary care visits and the odds of having >3 visits were significantly lower for children in foster care with a mental health disorder diagnosis. Additionally, more than a quarter of children in foster care had a diagnosis of a mental health disorder, compared with 15% of children not in foster care.


Author(s):  
Michael Falster ◽  
Louisa Jorm ◽  
Alastair Leyland

ABSTRACT Objective‘Preventable hospitalisations’ are used internationally as a health performance indicator of access to and quality of primary care services, yet there’s been recent debate about the true ‘preventability’ these admissions. Much research has compared rates of hospitalisation with the supply of general practitioners (GPs), but there’s surprisingly little understanding of how patients are actually using out of hospital services. This study explored patterns of health events and service use in the lead up to, and following, preventable hospitalisations. ApproachVisual trajectories of health events were created for 266,950 participants in the 45 and Up Study, NSW Australia. Data linked by the NSW CHeReL on hospital admissions, emergency department (ED) presentations, deaths, as well as GP and specialist consultations from the Department of Human Services, were visually displayed over time. Different health events were juxtaposed using different markers and panels of data. Concurrent patterns of events were identified by sorting, filtering and stratifying participants on number of admissions, self-rated health, geographic remoteness, and compared with a propensity matched cohort of non-admitted participants matched on socio-demographic and health characteristics. Health events were explored over calendar year and in the 90 days surrounding first preventable hospitalisation. Results8715 participants were admitted for a preventable hospitalisation in 2010, 22% having more than one admission. The visualisations revealed patterns of clustering of GP consultations in the lead up to and following preventable hospitalisation, with 14% of patients having a consultation on the day of admission, and 27% in the prior week. Many patients in regional areas, but not major cities, had GP consultations during admission, suggesting it may have been a part of coordinated care. There was a clustering of deaths and other hospitalisations following discharge, particularly for patients with a long length of stay, suggesting patients may have been in a state of health deterioration. Specialist consultations were clustered during the period of hospitalisation. Rates of all health events were higher in patients admitted for a preventable hospitalisation than the matched non-admitted cohort. ConclusionWe didn’t find evidence of limited use of primary care services in the lead-up to a preventable hospitalisation, rather people admitted for preventable hospitalisations tended to have high levels of engagement with multiple elements of the healthcare system. Visualising linked health data was found to be a powerful strategy for uncovering patterns of service use, and such visualisations have potential to be more widely adopted in health services research.


2010 ◽  
Vol 74 (10) ◽  
pp. S4 ◽  
Author(s):  
JoLaine R. Draugalis ◽  
Diane E. Beck ◽  
Cynthia L. Raehl ◽  
Marilyn K. Speedie ◽  
Victor A. Yanchick ◽  
...  

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