How to reduce processing times for site-specific assessments from 29 to 5 days using a common-sense approach: it does not have to be that hard.

Researchers have reported limitations with research governance processes across Australia. This study aimed to streamline research governance processes across a local health district. Four basic principles were applied to remove non-value-adding and non-risk-mitigating processes. Average processing times were reduced from 29 to 5 days and end-user satisfaction was improved, all within the same staffing levels.

Determining staffing standards for primary care services using workload indicators of staffing needs in the Philippines.

BACKGROUND: Health services cannot be delivered without an adequate, competent health workforce. Evidence suggests a direct relationship between density of health workforce and health outcomes. The Philippines is faced with health workforce challenges including shortages, inequitable distribution and inadequate skill mix which hinder health service delivery. Evidence-based workforce planning is, therefore, critical to achieve universal health care. METHODS: The Philippines adopted the World Health Organization's workload indicators of staffing need methodology. Using a multistage sampling method, nine regions with poor health indicators in tuberculosis, family planning, and maternal child health were identified. Physicians, nurses, midwives, and medical technologists were prioritized in the study from 89 primary care health facilities (barangay health stations, rural health units, and city health offices). Data was collected using in-depth interviews, document reviews, observations, and field visits. The workload indicators of staffing need software were used for data analysis to determine staffing requirements and analyse workforce pressure. RESULTS: The study showed varied results in terms of staffing requirements and workload pressure across cadres and facility types. Some health facilities exhibited staff shortages and high workload pressure. Out of the 40 rural health units and city health offices, only three had the required physicians needed and 22 facilities had a shortage of physicians working under high workload pressure. Other facilities had excess staff compared to the calculated requirements. Nurses at the rural health units showed high workload pressure. Ten rural health units had no medical technologists. Midwives at barangay health stations exhibited extremely low workload pressures. CONCLUSION: The study identifies the need for the Philippine Health System, both through the Department of Health and the local governments to efficiently optimize the available health workers by revising the services offered at the primary health care facilities. The results provide evidence for staffing requirements at various levels of care based on workloads, scope of practice and time taken to undertake specific tasks at the barangay health stations, rural health units and city health offices to be integrated into the human resources for health management systems.

Compartmentalization of the gut viral reservoir in HIV-1 infected patients.

BACKGROUND: Recently there has been an increasing interest and appreciation for the gut as both a viral reservoir as well as an important host-pathogen interface in human immunodefiency virus type 1 (HIV-1) infection. The gut associated lymphoid tissue (GALT) is the largest lymphoid organ infected by HIV-1. In this study we examined if different HIV-1 quasispecies are found in different parts of the gut of HIV-1 infected individuals. RESULTS: Gut biopsies (esophagus, stomach, duodenum and colorectum) were obtained from eight HIV-1 infected preHAART (highly active antiretroviral therapy) patients. HIV-1 Nef and Reverse transcriptase (RT) encoding sequences were obtained through nested PCR amplification from DNA isolated from the gut biopsy tissues. The PCR fragments were cloned and sequenced. The resulting sequences were subjected to various phylogenetic analyses. Expression of the nef gene and viral RNA in the different gut tissues was determined using real-time RT-PCR. Phylogenetic analysis of the Nef protein-encoding region revealed compartmentalization of viral replication in the gut within patients. Viral diversity in both the Nef and RT encoding region varied in different parts of the gut. Moreover, increased nef gene expression (p < 0.05) and higher levels of viral genome were observed in the colorectum (p < 0.05). These differences could reflect an adaptation of HIV-1 to the various tissues. CONCLUSION: Our results indicated that different HIV-1 quasispecies populate different parts of the gut, and that viral replication in the gut is compartmentalized. These observations underscore the importance of the gut as a host-pathogen interface in HIV-1 infection.

How the introduction of a human resources information system helped the Democratic Republic of Congo to mobilise domestic resources for an improved health workforce.

The Democratic Republic of Congo has flagged health workforce management and compensation as issues requiring attention, including the problem of ghost workers (individuals on payroll who do not exist and/or show up at work). Recognising the need for reliable health workforce information, the government has worked to implement iHRIS, an open source human resources information system that facilitates health workforce management. In Kasaï Central and Kasaï Provinces, health workers brought relevant documentation to data collection points, where trained teams interviewed them and entered contact information, identification, photo, current job, and employment and education history into iHRIS on laptops. After uploading the data, the Ministry of Public Health used the database of over 11 500 verified health worker records to analyse health worker characteristics, density, compensation, and payroll. Both provinces had less than one physician per 10 000 population and a higher urban versus rural health worker density. Most iHRIS-registered health workers (57% in Kasaï Central and 73% in Kasaï) reported receiving no regular government pay of any kind (salaries or risk allowances). Payroll analysis showed that 27% of the health workers listed as salary recipients in the electronic payroll system were ghost workers, as were 42% of risk allowance recipients. As a result, the Ministries of Public Health, Public Service, and Finance reallocated funds away from ghost workers to cover salaries (n = 781) and risk allowances (n = 2613) for thousands of health workers who were previously under- or uncompensated due to lack of funds. The reallocation prioritised previously under- or uncompensated mid-level health workers, with 49% of those receiving salaries and 68% of those receiving risk allowances representing cadres such as nurses, laboratory technicians, and midwifery cadres. Assembling accurate health worker records can help governments understand health workforce characteristics and use data to direct scarce domestic resources to where they are most needed.