Analysis of factors influencing the outpatient workload at Chinese health centres

<p>Abstract</p> <p>Background</p> <p>Although the community health service system is now established in China, the utilisation of the community health service institutions is low due to the lack of a gate-keeping role of the primary health service providers and referrals among the three-tiered health service institutions. In addition to this, patients who can afford to pay, often seek best services in big hospitals to guarantee the quality of care. Thus, the need of guiding the patients to the community health services and increasing the utilisation of the community health service institutions is becoming an urgent problem, which hinders the future development of community health services. This study focuses on the question of how to increase the utilisation of Chinese community health centres (HCs).</p> <p>Methods</p> <p>A cross-sectional Base-line Survey of Chinese City Community Health Service System Building using the multi-staged cluster sampling was conducted to collect data from all HCs in 28 key contact cities. Relevant indicators of totally 1790 HCs were analysed. The statistical methods included ANONVA and logistic regression.</p> <p>Results and Conclusions</p> <p>The analysis suggested several key factors for increasing the outpatient workload (OW) at the HCs: establishing an adequate referral system among the different levels of the health system; enhancing the qualification of health personnel and increasing the compensation by the health insurance for services provided at HCs. Other key factors with a positive effect on the OW included: the government ownership of the HCs, the scale of the institutions, the medical equipment used, the mix of health services provided, and the women in childbearing age in the residence.</p

An inquiry into good hospital governance: A New Zealand-Czech comparison

BACKGROUND: This paper contributes to research in health systems literature by examining the role of health boards in hospital governance. Health care ranks among the largest public sectors in OECD countries. Efficient governance of hospitals requires the responsible and effective use of funds, professional management and competent governing structures. In this study hospital governance practice in two health care systems – Czech Republic and New Zealand – is compared and contrasted. These countries were chosen as both, even though they are geographically distant, have a universal right to 'free' health care provided by the state and each has experienced periods of political change and ensuing economic restructuring. Ongoing change has provided the impetus for policy reform in their public hospital governance systems. METHODS: Two comparative case studies are presented. They define key similarities and differences between the two countries' health care systems. Each public hospital governance system is critically analysed and discussed in light of D W Taylor's nine principles of 'good governance'. RESULTS: While some similarities were found to exist, the key difference between the two countries is that while many forms of 'ad hoc' hospital governance exist in Czech hospitals, public hospitals in New Zealand are governed in a 'collegiate' way by elected District Health Boards. These findings are discussed in relation to each of the suggested nine principles utilized by Taylor. CONCLUSION: This comparative case analysis demonstrates that although the New Zealand and Czech Republic health systems appear to show a large degree of convergence, their approaches to public hospital governance differ on several counts. Some of the principles of 'good governance' existed in the Czech hospitals and many were practiced in New Zealand. It would appear that the governance styles have evolved from particular historical circumstances to meet each country's specific requirements. Whether or not current practice could be improved by paying closer attention to theoretical models of 'good governance' is debatable

Determinants of self-rated health in women: a population-based study in Armavir Marz, Armenia, 2001 & 2004

<p>Abstract</p> <p>Background</p> <p>The former soviet Republic of Armenia entered a turbulent and long-lasting economic transition when it declared its independence in 1991. This analysis sought to identify the determinants of poor self-rated health as an indirect measure of health status and mortality prognosis in an adult female population during a period of socio-economic transition in Armenia.</p> <p>Methods</p> <p>Differences in self-rated health in women respondents were analyzed along three main dimensions: social, behavioral/attitudinal, and psychological. The data used were generated from cross-sectional household health surveys conducted in Armavir <it>marz </it>in 2001 and 2004. The surveys utilized the same instruments and study design (probability proportional to size, multistage cluster sampling with a combination of interviewer-administered and self-administered surveys) and generated two independent samples of households representative of Armavir <it>marz</it>. Binary logistic regression models with self-rated health as the outcome were fitted to the 2001 and 2004 datasets and a combined 2001/2004 dataset.</p> <p>Results</p> <p>Overall, 2 038 women aged 18 and over participated in the two surveys (1 019 in each). The rate of perceived "poor" health was relatively high in both surveys: 38.1% in 2001 and 27.0% in 2004. The sets of independent predictors of poor self-rated health were similar in all three models and included severe and moderate material deprivation, probable and possible depression, low level of education, and having ever smoked. These predictors mediated the effect of women's economic activity (including unemployment), ethnicity, low access to/utilization of healthcare services, and living alone on self-rated health.</p> <p>Conclusion</p> <p>Material deprivation was the most influential predictor of self-rated health. Thus, social reforms to decrease the gap between the rich and poor are recommended as a powerful tool for reducing health inequalities and improving the health status of the population.</p

Consumers enter the political stage? The modernization of health care in Britain and Germany

New governance practices associated with the modernization of health systems within Europe focus on equipping health consumers with more information and power in their interactions with clinicians. This article uses material on health care reform in Britain and Germany to highlight ways in which consumerism is refracted through different institutional histories and current political projects. These give rise to different inflections on the meaning of consumerism, including the different associations of 'choice', and to different forms of consumer involvement as 'stakeholders' in health care systems

A systematic review of the validity and reliability of patient‐reported experience measures

Objectives: To identify patient-reported experience measures (PREMs), assess their validity and reliability, and assess any bias in the study design of PREM validity and reliability testing. Data Sources/Study Setting: Articles reporting on PREM development and testing sourced from MEDLINE, CINAHL and Scopus databases up to March 13, 2018. Study Design: Systematic review. Data Collection/Extraction Methods: Critical appraisal of PREM study design was undertaken using the Appraisal tool for Cross-Sectional Studies (AXIS). Critical appraisal of PREM validity and reliability was undertaken using a revised version of the COSMIN checklist. Principal Findings: Eighty-eight PREMs were identified, spanning across four main health care contexts. PREM validity and reliability was supported by appropriate study designs. Internal consistency (n = 58, 65.2 percent), structural validity (n = 49, 55.1 percent), and content validity (n = 34, 38.2 percent) were the most frequently reported validity and reliability tests. Conclusions: Careful consideration should be given when selecting PREMs, particularly as seven of the 10 validity and reliability criteria were not undertaken in ≥50 percent of the PREMs. Testing PREM responsiveness should be prioritized for the application of PREMs where the end user is measuring change over time. Assessing measurement error/agreement of PREMs is important to understand the clinical relevancy of PREM scores used in a health care evaluation capacity.</p