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1.
Health Policy Plan ; 13(4): 446-58, 1998 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-10346036

RESUMO

One of the primary obstacles in the implementation of continuous quality improvement (CQI) programmes in developing countries is the lack of timely and appropriate information for decentralized decision-making. The integrated quality information system (QIS) described herein demonstrates Mexico's unique effort to package four separate, yet mutually reinforcing, tools for the generation and use of quality-related information at all levels of the Mexican national health care system. The QIS is one element of the continuous quality improvement programme administered by the Secretariat of Health in Mexico. Mexico's QIS was designed to be flexible and capable of adapting to local needs, while at the same time allowing for the standardization of health care quality assurance indicators, and subsequent ability to measure and compare the quality performance of health facilities nationwide. The flexibility of the system extends to permit the optimal use of available data by health care managers at all levels of the health care system, as well as the generation of new information in important areas often neglected in more traditional information systems. Mexico's QIS consists of four integrated components: 1) a set of client and provider surveys, to assess specific issues in the quality of health services delivered; 2) client and provider national satisfaction surveys; 3) a sentinel health events strategy; and 4) a national Comparative Performance Evaluation System, for use by the Secretariate of Health for the quality assessment of state and provincial health care services (internal benchmarking). The QIS represents another step in Mexico's ongoing effort to use data for effective decision-making in the planning, monitoring and evaluation of services delivered by the national health care system. The design and application of Mexico's QIS provides a model for decentralized decision-making that could prove useful for developing countries, where the effective use of quality indicators is often limited. Further, the system could serve as a mechanism for motivating positive change in the way information is collected and used in the process of ensuring high quality health care service delivery.


Assuntos
Sistemas de Informação Administrativa , Administração em Saúde Pública/normas , Gestão da Qualidade Total , Benchmarking , Coleta de Dados , Países em Desenvolvimento , Estudos de Avaliação como Assunto , México , Estudos de Casos Organizacionais , Indicadores de Qualidade em Assistência à Saúde
2.
Salud Publica Mex ; 37(1): 12-8, 1995.
Artigo em Espanhol | MEDLINE | ID: mdl-7754424

RESUMO

A census of private health establishments was carried out by the Secretary of Health, in order to quantify its resources and to describe their geographical distribution. The census, conducted in 1994, was limited to private units which offered hospitalization services, and the reference period was the previous year. Results showed that there are 2,723 private hospitalization units in Mexico, and nearly a half of the units are concentrated in the Federal District, and the states of Mexico, Guanajuato, Michoacán, Baja California and Veracruz. The number of private hospitalization beds registered in the country are 33,937, these figures indicate that private medicine is the main hospital care provider in the national health system. Similar results were obtained regarding other material and human resources. It is important to stress the need for further research regarding the role of private medicine in Mexico, including aspects related to the quality of the services being provided.


Assuntos
Unidades Hospitalares/provisão & distribuição , Hospitais Privados/provisão & distribuição , Prática Privada , Coleta de Dados/estatística & dados numéricos , Número de Leitos em Hospital/estatística & dados numéricos , Unidades Hospitalares/estatística & dados numéricos , Hospitais Privados/estatística & dados numéricos , Humanos , México , Prática Privada/estatística & dados numéricos , Recursos Humanos
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