Reception, Social Networks and Production of Basic Health Care in the City of Rio de Janeiro, Brazil

For the last few years an imaginative programme for training Buddhist monks in basic health care has been in operation in Thailand. The scheme, originally based on two wats (temples) in Bangkok, is now being extended to the Northeast where poverty and malnutrition are most acute. The originator of the programme, Dr Prawase Wasi, a distinguished haematologist, has received several awards for his work, which is increasingly recognized as a major landmark in the implementation of health care in developing countries.

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(A4) Emergency Health Interventions in Earthquakes: Red Cross Experience from Haiti and Chile, 2010

Prehospital and Disaster Medicine ◽

10.1017/s1049023x11000215 ◽

2011 ◽

Vol 26 (S1) ◽

pp. s2-s2

Author(s):

P. Saaristo ◽

T. Aloudat

Keyword(s):

Health Care ◽

Emergency Response ◽

Red Cross ◽

Local Health ◽

Basic Health ◽

Basic Health Care ◽

Health Response ◽

Local Health Care ◽

Local Health Care System ◽

Rapid Deployment

On 12 January 2010, the fate of Haiti and its people shifted with the ground beneath them as the strongest earthquake in 200 years, and a series of powerful aftershocks demolished the capital and multiple areas throughout the southern coast in thirty seconds, leaving some 220,000 people dead, and 300,000 persons injured. On 27 February 2010, at 03:35 hours local time, an earthquake of magnitude 8.8 struck Chile. As a consequence, the tsunami generated affected a coastal strip of more than 500 kilometers. Approximately 1.5 million people were affected and thousands lost their homes and livelihoods. The emergency health response of the International Red Cross Movement to both disasters was immediate, powerful and dynamic. The IFRC deployed seven emergency response units (ERU) to Haiti: one 150-bed referral hospital, one Rapid Deployment Emergency Hospital, and five basic health care units. One surgical hospital and two Basic Health Care Units were deployed to Chile. The ERU system of the IFRC is a flexible and dynamic tool for emergency health response in shifting and challenging environments. Evaluations show that the system performs well during urban and rural disasters. Despite a very different baseline in the two contexts, the ERU system of IFRC can adapt to the local needs. As panorama of pathology in the aftermath of an earthquake changes, the ERU system adapts and continues supporting the local health care system in its recovery.

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Inefficiency Factors in Basic Health Care Supply in Côte d’Ivoire: A Comparative Econometric Analysis

International Journal of Economics and Finance ◽

10.5539/ijef.v13n6p46 ◽

2021 ◽

Vol 13 (6) ◽

pp. 46

Author(s):

Alliou S. Diarrassouba

Keyword(s):

Health Care ◽

Primary Health Care ◽

Small Sample ◽

Health Care Facilities ◽

Estimation Methods ◽

Technical Inefficiency ◽

Basic Health ◽

Primary Health ◽

Basic Health Care ◽

Double Bootstrap

The achievement of universal health coverage has put Primary Health Care back at the center of policy orientations, particularly by identifying factors likely to improve the organization of peripheral facilities. However, this objective depends on the econometric methods used, especially for cross-sectional data and small sample sizes. This study aims to examine the sensitivity of the most usual estimation methods (Stochastic Frontier Analysis (SFA), Data Envelopment Analysis (DEA), DEA double bootstrap, Tobit, Truncated Standard Regression) for evaluating the scores and determinants of technical inefficiency of Primary Health Care Facilities (PHCF) in Côte d’Ivoire. Estimates show average technical efficiency scores of 94.13% for the DEA versus 89.61% for the SFA and 82.24% for the DEA double bootstrap. The results also indicate a proportion of determinants of technical inefficiency, in decreasing order of importance, with the DEA double bootstrap, the SFA, truncated regression and Tobit. This technical inefficiency can be improved in policies to promote basic health care by: increasing the proportion of nurses in the medical staff, the nurse/inhabitant ratio, the adult literacy rate by region, controlling the average capacity of the PHCFs, improving their geographical accessibility and reducing the rate of extreme poverty by health region.

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