Integration of Environmental Public Health Into Primary Health Care Services for Low Income Pregnant Women

2021 ◽  
Author(s):  
Renee L. Whiskey
Keyword(s):  
Public Health ◽  
Health Care ◽  
Primary Health Care ◽  
Pregnant Women ◽  
Low Income ◽  
Health Care Services ◽  
Environmental Public Health ◽  
Care Services ◽  
Primary Health ◽  
Primary Health Care Services

Practical Epidemiology

2021 ◽  
Author(s):  
J Patrick Vaughan ◽  
Cesar Victora ◽  
A Mushtaque R Chowdhury
Keyword(s):  
Public Health ◽  
Health Care ◽  
Primary Health Care ◽  
Health Care Services ◽  
District Level ◽  
Care Services ◽  
Primary Health ◽  
Primary Health Care Services ◽  
Public Health Programmes ◽  
Health Programmes

We focus on the importance of using epidemiological concepts and skills needed to investigate, plan and deliver primary health care services and to strengthen district level public health programmes. We illustrate these with examples from LMICs and for a hypothetical district population of 200,000 people.

scholarly journals Portugal's primary health care human resources assessment

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Oliveira Miranda ◽  
P Santos Luis ◽  
M Sarmento
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Family Medicine ◽  
Human Resources ◽  
Health Professional ◽  
Health Care Services ◽  
Care Services ◽  
Primary Health ◽  
Primary Health Care Services ◽  
The Mean

Abstract Background Primary health care services are the cornerstone of all health systems. Having clear data on allocated human resources is essential for planning. This work intended to map and compare the primary health care human resources of the five administrative regions (ARS) of the Portuguese public health system, so that better human resources management can be implemented. Methods The chosen design was a descriptive cross sectional study. Each of the five ARS were divided into primary health care clusters, which included several primary health care units. All of these units periodically sign a “commitment letter”, where they stand their service commitments to the covered population. This includes allocated health professionals (doctors, nurses), and the information is publicly accessible at www.bicsp.min-saude.pt. Data was collected for 2017, the year for which more commitment letters were available. Several ratios were calculated: patients/health professional; patients/doctor (family medicine specialists and residents); patients/nurse and patients/family medicine specialist. Mean, standard deviation, minimum and maximum values were calculated. Results National patients/health professional ratio was 702 with the mean of the 5 ARS calculated at 674+-7.15% (min 619, max 734) whilst the national patients/doctor ratio was 1247 with the mean of the 5 ARS calculated at 1217+-7.17% (min 1074, max 1290). National patients/nurse ratio was 1607 with the mean of the 5 ARS calculated at 1529+-13.08% (min 1199, max 1701). Finally, national patients/family medicine specialist ratio was 1711 with the mean of the 5 ARS calculated at 1650+-6,36% (min 1551, max 1795). Conclusions Human resources were differently spread across Portugal, with variations between the five ARS in all ratios. The largest differences occur between nursing staff, and may translate into inequities of access, with impact on health results. A more homogeneous human resources allocation should be implemented. Key messages Human resources in the Portuguese primary health care services are not homogeneously allocated. A better and more homogeneous allocation of human resources should be implemented to reduce access health inequities.

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