scholarly journals Physiotherapy services required at primary health care level in gauteng and limpopo provinces (service provider’s perspective -physiotherapists/assistants)

2008 ◽  
Vol 64 (1) ◽  
Author(s):  
Douglas Maleka ◽  
D. Franzsen ◽  
A. Stewart

This study was conducted to determine the opinion of physiotherapists and physiotherapy assistants with regards to physiotherapyservices required at a Primary Health Care (PHC) level in two provinces ofSouth Africa, one being urban (Gauteng) and the other one more rural(Limpopo). Using a descriptive study design, a sample consisting of 728 physio-therapists and assistants was selected from the HPCSA register list. Datacollection was by a self-administered questionnaire. Sixty six percent of physiotherapists in Gauteng Province and 68% inLimpopo Province agreed that promotive services are required whereas thepercentage for physiotherapy assistants in Gauteng province and Limpopoprovince were 78% and 89% respectively. Preventative services were suggested by 82% and 85% by physiotherapistsand 95% and 96% by physiotherapy assistants in Gauteng and Limpopo. Eighty nine percent and 88% of physio-therapists, 80% and 85% of physiotherapy assistants in Gauteng and Limpopo respectively agreed that curative services are required.  Rehabilitative services were suggested to be required by 83% and 90% of physiotherapists, 85% and 95% by physiotherapy assistants in Gauteng and Limpopo respectively.

2013 ◽  
Vol 12 (4) ◽  
pp. 243 ◽  
Author(s):  
DanjumaAyotunde Bello ◽  
ZuwairaIbrahim Hassan ◽  
TolulopeOlumide Afolaranmi ◽  
YetundeOlubusayo Tagurum ◽  
OluwabunmiOluwayemisi Chirdan ◽  
...  

Author(s):  
V. P. Martsenyuk ◽  
P. R. Selskyy ◽  
B. P. Selskyy

The paper describes the optimization of the prediction of disease at the primary health care level with a complex phased application of information techniques. The approach is based on analysis of the average values of indicators, correlation coefficients, using multi-parameter neural network clustering, ROC-analysis and decision tree.The data of 63 patients with arterial hypertension obtained at teaching and practical centers of primary health care were used for the analysis. It has been established that neural network clasterization can effectively and objectively allocate patients into the appropriate categories according to the level of average indices of patient examination results. Determination of the sensitivity and specificity of hemodynamic parameters, including blood pressure, and repeated during the initial survey was conducted using ROC-analysis.The diagnostic criteria of decision-making were developed to optimize the prediction of disease at the primary level in order to adjust examination procedures and treatment based on the analysis of indicators of patient examination with a complex gradual application of information procedures.


2014 ◽  
Vol 20 (6) ◽  
pp. 300-306 ◽  
Author(s):  
Leigh Biagio ◽  
De Wet Swanepoel ◽  
Claude Laurent ◽  
Thorbjörn Lundberg

Sign in / Sign up

Export Citation Format

Share Document