O8 Tracking wound infection with smartphone technology (twist): a randomised controlled trial in emergency surgery patients

Introduction

Surgical site infections (SSI) complicate 2%–10% of general surgery cases, and represent a significant burden on acute healthcare services. We aim to investigate if a smartphone-delivered wound assessment tool results in earlier treatment.

Method

This parallel, single-blinded randomised control trial enrolled adult emergency abdominal surgery patients in two tertiary hospitals (ClinicalTrials.gov number, NCT02704897). Patients were randomised (1:1 ratio) between standard postoperative care and additional access to a smartphone-delivered wound assessment tool for 30-days postoperatively. Patients routinely submitted wound questionnaires and photos for surgical review at postoperative days 3, 7, and 15. The primary outcome measure was time-to-diagnosis of SSI (CDC definition) within 30 postoperative days.

Result

492 patients undergoing emergency surgery were randomised (smartphone intervention = 223; standard care = 269). There was no significant difference (P = 0.513) in the 30-day SSI rate between trial arms: 21 (9.4%) in smartphone vs 20 (7.4%) in standard care. While the mean time-to-diagnosis of SSI was 9.3 days (SD = 6.3) in the smartphone group, and 11.8 days (SD = 6.7) in the control group, this did not demonstrate a significant difference for the primary outcome (P = 0.255). However, patients in the smartphone group had 3.7-fold higher odds to be diagnosed in first 7 postoperative days (95% CI: 1.02 to 13.51, P = 0.043).

Conclusion

Digital patient-driven postoperative wound follow-up can be feasibly delivered in a broad cohort of emergency surgery patients. This can facilitate triage of patients to the appropriate level of assessment required, allowing diagnosis of SSI earlier in the postoperative period.

Take-home Message

Digital patient-driven postoperative wound follow-up can be feasibly delivered in a broad cohort of emergency surgery patients. This can facilitate triage of patients to the appropriate level of assessment required, allowing diagnosis of SSI earlier in the postoperative period.

Impact of World Tuberculosis Day on digital awareness of tuberculosis: analyses using Google Trends™

BACKGROUND: Tuberculosis (TB) is the ninth leading cause of death worldwide. World Tuberculosis Day is held every year to increase global awareness of TB.OBJECTIVE: To quantify the impact of World Tuberculosis Day using Internet-based data.METHODS: Google Trends™ data were used to quantify digital searches for the term 'tuberculosis' worldwide and in the seven countries with the highest TB incidence. We estimated the mean difference in relative search volume (RSV) between World Tuberculosis Day and control periods. This was done separately for each year (2004-2017) and for the period from 1 January 2004 to 31 December 2017. The mean differences in RSVs with the corresponding 95% confidence intervals (CIs) were estimated. P values were calculated using the Mann-Whitney U-test. P < 0.05 was considered significant.RESULTS: Analyses of single years revealed the mean difference in RSV for worldwide searches on average was 12.5 (95%CI 4.6-20.2). Between 1 January 2004 and 31 December 2017, it was 10.4 (95%CI 6.0-15.0). In high-incidence countries, results ranged from -0.9 (95%CI -5.0 to 6.0) for Nigeria to 13.3 (95%CI 5.0-25.0) for South Africa.CONCLUSION: International campaigns such as the World Tuberculosis Day raise global awareness of TB. More actions are needed to increase TB awareness in high-incidence countries.

Prevalence of surgically correctable conditions among children in a mixed urban-rural community in Nigeria using the SOSAS survey tool: Implications for paediatric surgical capacity-building

Background

In many low- and middle-income countries, data on the prevalence of surgical diseases have been derived primarily from hospital-based studies, which may lead to an underestimation of disease burden within the community. Community-based prevalence studies may provide better estimates of surgical need to enable proper resource allocation and prioritization of needs. This study aims to assess the prevalence of common surgical conditions among children in a diverse rural and urban population in Nigeria.

Methods

Descriptive cross-sectional, community-based study to determine the prevalence of congenital and acquired surgical conditions among children in a diverse rural-urban area of Nigeria was conducted. Households, defined as one or more persons ‘who eat from the same pot’ or slept under the same roof the night before the interview, were randomized for inclusion in the study. Data was collected using an adapted and modified version of the interviewer-administered questionnaire—Surgeons OverSeas Assessment of Surgical Need (SOSAS) survey tool and analysed using the REDCap web-based analytic application.

Main results

Eight-hundred-and-fifty-six households were surveyed, comprising 1,883 children. Eighty-one conditions were identified, the most common being umbilical hernias (20), inguinal hernias (13), and wound injuries to the extremities (9). The prevalence per 10,000 children was 85 for umbilical hernias (95% CI: 47, 123), and 61 for inguinal hernias (95% CI: 34, 88). The prevalence of hydroceles and undescended testes was comparable at 22 and 26 per 10,000 children, respectively. Children with surgical conditions had similar sociodemographic characteristics to healthy children in the study population.

Conclusion

The most common congenital surgical conditions in our setting were umbilical hernias, while injuries were the most common acquired conditions. From our study, it is estimated that there will be about 2.9 million children with surgically correctable conditions in the nation. This suggests an acute need for training more paediatric surgeons.

Can a smartphone-delivered tool facilitate the assessment of surgical site infection and result in earlier treatment? Tracking wound infection with smartphone technology (TWIST): protocol for a randomised controlled trial in emergency surgery patients

INTRODUCTION

National data suggest that surgical site infection (SSI) complicates 2%-10% of general surgery cases, although the patient-reported incidence is much higher. SSIs cause significant patient morbidity and represent a significant burden on acute healthcare services, in a cohort predominantly suitable for outpatient management. Over three-quarters of UK adults now own smartphones, which could be harnessed to improve access to care. We aim to investigate if a smartphone-delivered wound assessment tool results in earlier treatment.

METHODS AND ANALYSIS

This is a randomised controlled trial aiming to recruit 500 patients across National Health Service (NHS) hospitals. All emergency abdominal surgery patients over the age of 16 who own smartphones will be considered eligible, with the exclusion of those with significant visual impairment. Participants will be randomised in a 1:1 ratio between standard postoperative care and the intervention - use of the smartphone tool in addition to standard postoperative care. The main outcome measure will be time-to-diagnosis of SSI with secondary outcome measures considering use of emergency department and general practitioner services and patient experience. Follow-up will be conducted by clinicians blinded to group allocation. Analysis of time-to-diagnosis will be by comparison of means using an independent two sample t-test.

ETHICS AND DISSEMINATION

This is the first randomised controlled trial on the use of a smartphone-delivered wound assessment tool to facilitate the assessment of SSI and the impact on time-to-diagnosis. The intervention is being used in addition to standard postoperative care. The study design and protocol were reviewed and approved by Southeast Scotland Research and Ethics Committee (REC Ref: 16/SS/0072 24/05/2016). Study findings will be presented at academic conferences, published in peer-reviewed journals and are expected in 2020. A written lay summary will be available to study participants on request.

TRIAL REGISTRATION NUMBER

NCT02704897; Pre-results.

Systematic review of the use of big data to improve surgery in low- and middle-income countries

Background

Technological advances have led to the generation of large amounts of data, both in surgical research and practice. Despite this, it is unclear how much originates in low‐ and middle‐income countries (LMICs) and what barriers exist to the use of such data in improving surgical care. The aim of this review was to capture the extent and impact of programmes that use large volumes of patient data on surgical care in LMICs.

Methods

A PRISMA‐compliant systematic literature review of PubMed, Embase and Google Scholar was performed in August 2018. Prospective studies collecting large volumes of patient‐level data within LMIC settings were included and evaluated qualitatively.

Results

A total of 68 studies were included from 71 LMICs, involving 708 032 patients. The number of patients in included studies varied widely (from 335 to 428 346), with 25 reporting data on 3000 or more LMIC patients. Patient inclusion in large‐data studies in LMICs has increased dramatically since 2015. Studies predominantly involved Brazil, China, India and Thailand, with low patient numbers from Africa and Latin America. Outcomes after surgery were commonly the focus (33 studies); very few large studies looked at access to surgical care or patient expenditure. The use of large data sets specifically to improve surgical outcomes in LMICs is currently limited.

Conclusion

Large volumes of data are becoming more common and provide a strong foundation for continuing investigation. Future studies should address questions more specific to surgery.

The effect of liver transplantation on patient-centred outcomes: a propensity-score matched analysis

It is unclear whether liver transplantation confers an increase in health-related quality of life (HR-QoL) across all dimensions of health. This study aimed to estimate the effect of liver transplantation on HR-QoL. Pre- and post-transplantation patients attending an outpatient clinic were invited to complete the condition-specific 'Short form of liver disease QOL' questionnaire. Mixed-effect linear regression and propensity-score matching (PSM) on pretransplantation characteristics were used to estimate the difference in overall HR-QoL associated with transplantation. Of 454/609 (74.5%) eligible patients who were included in the analysis, 102 (22.5%) patients fall under pretransplantation category, and 352 (77.5%) were under post-transplantation category. Overall HR-QoL post-transplantation significantly increased in patients without hepatocellular carcinoma (HCC) (β = 16.84, 95% CI: 13.33 to 20.35, P < 0.001), but not with HCC (β = 1.25, 95% CI: -5.09 to 7.60, P = 0.704). Donation after circulatory death (DCD) organ recipients had a significantly lower HR-QoL (β = -4.61, 95% CI: -8.95 to -0.24, P = 0.043). Following PSM, transplantation was associated with a significant increase in overall HR-QoL (average treatment effect: 6.3, 95% CI: 2.1-10.9). There is a significant improvement in HR-QoL attributable to transplantation in this cohort. Post-transplantation HR-QoL was affected by several factors, including HCC status and DCD transplantation, which has important implications for counselling prior to liver transplantation.

Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

BACKGROUND

Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world.

METHODS

This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231.

FINDINGS

Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p<0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05-2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p<0·001).

INTERPRETATION

Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication.

FUNDING

DFID-MRC-Wellcome Trust Joint Global Health Trial Development Grant, National Institute of Health Research Global Health Research Unit Grant.

Decision modeling in donation after circulatory death liver transplantation

Donation after circulatory death (DCD) liver allografts are increasingly used for transplantation. However, the posttransplantation clinical and quality of life outcomes of DCD recipients are traditionally considered to be inferior compared with donation after brain death (DBD) allograft recipients. Decision making for such marginal organs can be difficult. This study investigated the optimal decision to accept or decline a DCD liver allograft for a patient based on their current health. A Markov decision process model was constructed to predict the 5-year clinical course of patients on the liver transplant waiting list. Clinical outcomes were determined from the UK transplant registry or appropriate literature. Quality-adjusted life years (QALYs) were determined using the condition-specific short form of liver disease quality of life (SF-LDQoL) questionnaire. There were 293/374 (78.3%) eligible patients who completed the SF-LDQoL questionnaire. A total of 73 respondents (24.9%) were before transplant and 220 were after transplant (DBD recipient, 56.3%; DCD recipient, 8.5%; ischemic cholangiopathy patient, 2.4%; retransplant recipient, 7.9%). Predictive modeling indicated that QALYs gained at 5 years were significantly higher in DCD recipients (3.77; 95% confidence interval [CI], 3.44-4.10) compared with those who remained on the waiting list for a DBD transplant with Model for End-Stage Liver Disease (MELD) scores of 15-20 (3.36; 95% CI, 3.28-3.43), or >20 (3.07; 95% CI, 3.00-3.14). There was no significant advantage for individuals with MELD scores <15 (3.55; 95% CI, 3.47-3.63). In conclusion, this model predicts that patients on the UK liver transplant waiting list with MELD scores >15 should receive an offered DCD allograft based on the QALYs gained at 5 years. This analysis only accounts for donor-recipient risk pairings seen in current practice. The optimal decision for patients with MELD scores <15 remains unclear. However, a survival benefit was observed when a DCD organ was accepted. Liver Transplantation 23 594-603 2017 AASLD.