Regional disparities in health care resources in traditional Chinese medicine county hospitals in China.

OBJECTIVE: We aimed to analyze regional disparities of health care resources in traditional Chinese medicine (TCM) county hospitals and their time trends, and to assess the changes of regional disparities before and after 2009 health care reforms. METHODS: We used hospital-based, longitudinal data from all TCM county hospitals in China between 2004 and 2016. To measure the key development features of TCM county hospitals, data were collected on government hospital investment, hospital numbers (the average number of TCM hospitals per county), hospital scale (the number of medical staff and hospital beds) and doctors' workload (the daily visits and inpatient stays per doctor). We used segmented linear regression to test the time trend for outcome variables. We set a breakpoint at 2011, dividing the pre-reform (2004-2011) and post-reform (2012-2016) periods. RESULTS: After the 2009 health reforms, TCM hospitals continued to display large disparities in the number, scale, and doctors' workload across the three regions. In the pre-reform period, yearly government subsidies for TCM hospitals in western area were roughly RMB0.6 million (US$89 thousand) more than those in central and eastern region, which increased under the 2009 reforms to roughly RMB2 million (US$298 thousand) more per yer in post-reform period. These increased subsidies saw an increase in the number of TCM hospitals in the western area, partly addressing regional disparities. But there was no improvement in the regional disparities in terms of scale (number of beds) and the doctors' workload (daily outpatient visits and inpatients per doctor) increased or remained unchanged between the western and other regions. CONCLUSION: Although TCM hospital number, scale, and doctors' workload increased over the past 13 years, substantial regional disparities remained. The 2009 health reforms did not significantly change the regional disparities in health care resources, especially between the eastern and western regions.

Implementation research for public sector mental health care scale-up (SMART-DAPPER): a sequential multiple, assignment randomized trial (SMART) of non-specialist-delivered psychotherapy and/or medication for major depressive disorder and posttraumatic stress disorder (DAPPER) integrated with outpatient care clinics at a county hospital in Kenya.

BACKGROUND: Mental disorders are a leading cause of global disability, driven primarily by depression and anxiety. Most of the disease burden is in Low and Middle Income Countries (LMICs), where 75% of adults with mental disorders have no service access. Our research team has worked in western Kenya for nearly ten years. Primary care populations in Kenya have high prevalence of Major Depressive Disorder (MDD) and Posttraumatic Stress Disorder (PTSD). To address these treatment needs with a sustainable, scalable mental health care strategy, we are partnering with local and national mental health stakeholders in Kenya and Uganda to identify 1) evidence-based strategies for first-line and second-line treatment delivered by non-specialists integrated with primary care, 2) investigate presumed mediators of treatment outcome and 3) determine patient-level moderators of treatment effect to inform personalized, resource-efficient, non-specialist treatments and sequencing, with costing analyses. Our implementation approach is guided by the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. METHODS/DESIGN: We will use a Sequential, Multiple Assignment Randomized Trial (SMART) to randomize 2710 patients from the outpatient clinics at Kisumu County Hospital (KCH) who have MDD, PTSD or both to either 12 weekly sessions of non-specialist-delivered Interpersonal Psychotherapy (IPT) or to 6 months of fluoxetine prescribed by a nurse or clinical officer. Participants who are not in remission at the conclusion of treatment will be re-randomized to receive the other treatment (IPT receives fluoxetine and vice versa) or to combination treatment (IPT and fluoxetine). The SMART-DAPPER Implementation Resource Team, (IRT) will drive the application of the EPIS model and adaptations during the course of the study to optimize the relevance of the data for generalizability and scale -up. DISCUSSION: The results of this research will be significant in three ways: 1) they will determine the effectiveness of non-specialist delivered first- and second-line treatment for MDD and/or PTSD, 2) they will investigate key mechanisms of action for each treatment and 3) they will produce tailored adaptive treatment strategies essential for optimal sequencing of treatment for MDD and/or PTSD in low resource settings with associated cost information - a critical gap for addressing a leading global cause of disability. TRIAL REGISTRATION: ClinicalTrials.gov NCT03466346, registered March 15, 2018.

Trends analysis for drug utilization in county public hospitals: a sample study of the pilot area of health care reform in China.

BACKGROUND: Changes in the national drug policy always have impact on the drug utilization. In the context of China health care reform, what changes had happened in the trend of drug utilization in public hospitals? Has this change met the expectations of policy design? This study was conducted to explore the trend of medicine consumption in county public hospitals before and after health care reform, and to provide real-world evidence to help assess the effectiveness of national drug policy. METHODS: A cross-sectional study was performed to investigate the drug utilization trends of 6 county public hospitals in Anhui Province, which is the first pilot area of China health care reform. Data were collected before and after the implementation of the China National Essential Medicine Policy (NEMP) to analyse the drug utilization indicators, such as the drug utilization constituent ratio, the rate of essential medicine usage and the rate of antibiotic consumption. RESULTS: Chemicals are used most frequently and account for 60%~ 70%, followed by oral agents of proprietary Chinese medicine. The results also show increased consumption of Chinese medicine injections (χ2 = 28.428, P < 0.01). The top 3 chemical medicines consumed were anti-infective drugs (12.92%), cardiovascular system drugs (11.61%), and digestive system drugs (8.42%). For Chinese traditional medicine, the top 3 drugs consumed were internal medicine drugs (66.03%), surgical drugs (8.45%), and gynaecological drugs (7.70%). The total sales amounts of drugs covered by medical insurance are at a high level (all above 80%), whereas essential medicines are less than 50% at almost all county-level medical institutions. CONCLUSIONS: This study uncovered the changing tendency of medicine usage under the implementation of the reform. Chinese medicine injections and anti-infective drugs have always been a sustained concern of pharmacovigilance. It is noteworthy that although essential medicines are advocated for as a priority for use in the government-run hospital, the consumption proportion of these medicines is lower than expected.