Perioperative serum albumin as a predictor of adverse outcomes in abdominal surgery: prospective cohort hospital based study in Northern Tanzania

BACKGROUND: Albumin is an important protein that transports hormones, fatty acids, and exogenous drugs; it also maintains plasma oncotic pressure. Albumin is considered a negative active phase protein because it decreases during injuries and sepsis. In spite of other factors predicting surgical outcomes, the effect of pre and postoperative serum albumin to surgical complications can be assessed by calculating the percentage decrease in albumin (delta albumin). This study aimed to explore perioperative serum albumin as a predictor of adverse outcomes in major abdominal surgeries. METHODS: All eligible adult participants from Kilimanjaro Christian Medical Centre Surgical Department were enrolled in a convenient manner. Data were collected using a study questionnaire. Full Blood Count (FBP), serum albumin levels preoperatively and on postoperative day 1 were measured in accordance with Laboratory Standard Operating Procedures (SOP). Data was entered and analyzed using STATA version 14. Association and extent of decrease in albumin levels as a predictor of surgical site infection (SSI), delayed wound healing and death within 30 days of surgery was determined using ordinal logistic regression models. In determining the diagnostic accuracy, a Non-parametric Receiver Operating Curve (ROC) model was used. We adjusted for ASA classification, which had a negative confounding effect on the predictive power of the percent drop in albumin to adverse outcomes. RESULTS: Sixty one participants were studied; the mean age was 51.6 (SD16.3), the majorities were males 40 (65.6%) and post-operative adverse outcomes were experienced by 28 (45.9%) participants. In preoperative serum albumin values, 40 (67.8%) had lower than 3.4 g/l while 51 (91%) had postoperative albumin values lower than 3.4 g/l. Only 15 (27.3%) had high delta albumin with the median percentage value of 14.77%. Delta albumin was an independent significant factor associated with adverse outcome (OR: 6.68; 95% CI: 1.59, 28.09); with a good predictive power and area under ROC curve (AUC) of 0.72 (95% CI 0.55 0.89). The best cutoff value was 11.61% with a sensitivity of 76.92% and specificity of 51.72%. CONCLUSION: Early perioperative decreases in serum albumin levels may be a good, simple and cost effective tool to predict adverse outcomes in major abdominal surgeries

Anesthesia Capacity of District-Level Hospitals in Malawi, Tanzania, and Zambia: A Mixed-Methods Study

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Anesthesia capacity of district-level hospitals in Malawi, Tanzania, and Zambia: A mixed-methods study

Background: District-level hospitals (DLHs) are the main providers of surgical services for rural populations in Sub-Saharan Africa (SSA). Skilled teams are essential for surgical care, and gaps in anesthesia impact negatively on surgical capacity and outcomes. This study, from a baseline of a project scaling-up access to safe surgical and anesthesia care in Malawi, Tanzania, and Zambia, illustrates the deficit of anesthesia care in DLHs. Methods: We undertook an in-depth investigation of anesthesia capacity in 76 DLHs across the 3 countries, July to November 2017, using a mixed-methods approach. The quantitative component assessed district-level anesthesia capacity using a standardized scoring system based on an adapted and extended Personnel, Infrastructure, Procedures, Equipment and Supplies (PIPES) Index. The qualitative component involved semistructured interviews with providers from 33 DLHs, exploring how weaknesses in anesthesia impacted district surgical team practices and quality, volume, and scope of service provision. Results: Anesthesia care at the district level in these countries is provided only by nonphysician anesthetists, some of whom have no formal training. Ketamine anesthesia is widely used in all hospitals, compensating for shortages of other forms of anesthesia. Pediatric size supplies/equipment were frequently missing. Anesthesia PIPES index scores in Malawi (M = 8.0), Zambia (M = 8.3), and Tanzania (M = 8.4) were similar (P = .59), but an analysis of individual PIPES components revealed important cross-country differences. Irregular availability of reliable equipment and supply is a particular priority in Malawi, where only 29% of facilities have uninterrupted access to electricity and 23% have constant access to water, among other challenges. Zambia is mostly affected by staffing shortages, with 30% of surveyed hospitals lacking an anesthesia provider. The challenge that stood out in Tanzania was nonavailability of functioning anesthesia machines among frequent shortages of staff and other equipment. Conclusions: Tanzania, Malawi, and Zambia are falling far short of ensuring universal access to safe and affordable surgical and anesthesia care for district and rural populations. Mixed-methods situation analyses, undertaken in collaboration with anesthesia specialists—measuring and understanding deficits in district hospital anesthetic staff, equipment, and supplies—are needed to address the critical neglect of anesthesia that is essential to providing surgical responses to the needs of rural populations in SSA.</p

Surgical service monitoring and quality control systems at district hospitals in Malawi, Tanzania and Zambia: a mixed-methods study

Background In low-income and middle-income countries, an estimated one in three clinical adverse events happens in non-complex situations and 83% are preventable. Poor quality of care also leads to inefficient use of human, material and financial resources for health. Improving outcomes and mitigating the risk of adverse events require effective monitoring and quality control systems. Aim To assess the state of surgical monitoring and quality control systems at district hospitals (DHs) in Malawi, Tanzania and Zambia. Methods A mixed-methods cross-sectional study of 75 DHs: Malawi (22), Tanzania (30) and Zambia (23). This included a questionnaire, interviews and visual inspection of operating theatre (OT) registers. Data were collected on monitoring and quality systems for surgical activity, processes and outcomes, as well as perceived barriers. Results 53% (n=40/75) of DHs use more than one OT register to record surgical operations. With the exception of standardised printed OT registers in Zambia, the register format (often handwritten books) and type of data collected varied between DHs. Monthly reports were seldom analysed by surgical teams. Less than 30% of all surveyed DHs used surgical safety checklists (n=22/75), and <15% (n=11/75) performed surgical audits. 73% (n=22/30) of DHs in Tanzania and less than half of DHs in Malawi (n=11/22) and Zambia (n=10/23) conducted surgical case reviews. Reports of surgical morbidity and mortality were compiled in 65% (n=15/23) of Zambian DHs, and in less than one-third of DHs in Tanzania (n=9/30) and Malawi (n=4/22). Reported barriers to monitoring and quality systems included an absence of formalised guidelines, continuous training opportunities as well as inadequate accountability mechanisms. Conclusions Surgical monitoring and quality control systems were not standard among sampled DHs. Improvements are needed in standardisation of quality measures used; and in ensuring data completeness, analysis and utilisation for improving patient outcomes

Evaluation of a surgical supervision model in three African countries-protocol for a prospective mixed-methods controlled pilot trial

Contains fulltext : 203337.pdf (publisher's version ) (Open Access)Background: District-level hospitals (DLHs) can play an important role in the delivery of essential surgical services for rural populations in sub-Saharan Africa if adequately prepared and supported. This article describes the protocol for the evaluation of the Scaling up Safe Surgery for District and Rural Populations in Africa (SURG-Africa) project which aims to strengthen the capacity in district-level hospitals (DLHs) in Malawi, Tanzania and Zambia to deliver safe, quality surgery. The intervention comprises a programme of quarterly supervisory visits to surgically active district-level hospitals by specialists from referral hospitals and the establishment of a mobile phone-based consultation network. The overall objective is to test and refine the model with a view to scaling up to national level. Methods: This mixed-methods controlled pilot trial will test the feasibility of the proposed supervision model in making quality-assured surgery available at DLHs. Firstly, the study will conduct a quantitative assessment of surgical service delivery at district facilities, looking at hospital preparedness, capacity and productivity, and how these are affected by the intervention. Secondly, the study will monitor changes in referral patterns from DLHs to a higher level of care as a result of the intervention. Data on utilisation of the mobile based-support network will also be collected. The analysis will compare changes over time and between intervention and control hospitals. The third element of the study will involve a qualitative assessment to obtain a better understanding of the functionality of DLH surgical systems and how these have been influenced by the intervention. It will also provide further information on feasibility, impact and sustainability of the supervision model. Discussion: We seek to test a model of district-level capacity building through regular supervision by specialists and mobile phone technology-supported consultations to make safe surgical services more accessible, equitable and sustainable for rural populations in the target countries. The results of this study will provide robust evidence to inform and guide local actors in the national scale-up of the supervision model. Lessons learned will be transferred to the wider region

Surgical capacity, productivity and efficiency at the district level in Sub-Saharan Africa: A three-country study

INTRODUCTION: Efficient utilisation of surgical resources is essential when providing surgical care in low-resources settings. Countries are developing plans to scale up surgery, though insufficiently based on empirical evidence. This paper investigates the determinants of hospital efficiency in district hospitals in three African countries. METHODS: Three-month data, comprising surgical capacity indicators and volumes of major surgical procedures collected from 61 district-level hospitals in Malawi, Tanzania, and Zambia, were analysed. Data envelopment analysis was used to calculate average hospital efficiency scores (max. = 1) for each country. Quantile regression analysis was selected to estimate the relationship between surgical volume and production factors. Two-stage bootstrap regression analysis was used to estimate the determinants of hospital efficiency. RESULTS: Average hospital efficiency scores were 0.77 in Tanzania, 0.70 in Malawi and 0.41 in Zambia. Hospitals with high efficiency scores had significantly more surgical staff compared with low efficiency hospitals (DEA score<1). Hospitals that scored high on the most commonly utilised surgical capacity index were not the ones with high surgical volumes or high efficiency. The number of surgical team members, which was lowest in Zambia, was strongly, positively correlated with surgical productivity and efficiency. CONCLUSION: Hospital efficiency, combining capacity measures and surgical outputs, is a better indicator of surgical performance than capacity measures, which could be misleading if used alone for surgical planning. Investment in the surgical workforce, in particular, is critical to improving district hospital surgical productivity and efficiency