Collecting data for global surgical indicators: a collaborative approach in the Pacific Region.

In 2015, the Lancet Commission on Global Surgery (LCoGS) recommended six surgical metrics to enable countries to measure their surgical and anaesthesia care delivery. These indicators have subsequently been accepted by the World Bank for inclusion in the World Development Indicators. With support from the Royal Australasian College of Surgeons and the Pacific Islands Surgical Association, 14 South Pacific countries collaborated to collect the first four of six LCoGS indicators. Thirteen countries collected all four indicators over a 6-month period from October 2015 to April 2016. Australia and New Zealand exceeded the recommended LCoGS target for all four indicators. Only 5 of 13 countries (38%) achieved 2-hour access for at least 80% of their population, with a range of 20% (Papua New Guinea and Solomon Islands) to over 65% (Fiji and Samoa). Five of 13 (38%) countries met the target surgical volume of 5000 procedures per 100 000 population, with six performing less than 1600. Four of 14 (29%) countries had at least 20 surgical, anaesthesia and obstetric providers in their workforce per 100 000 population, with a range of 0.9 (Timor Leste) to 18.5 (Tuvalu). Perioperative mortality rate was reported by 13 of 14 countries, and ranged from 0.11% to 1.0%. We believe it is feasible to collect global surgery indicators across the South Pacific, a diverse geographical region encompassing high-income and low-income countries. Such metrics will allow direct comparison between similar nations, but more importantly provide baseline data that providers and politicians can use in advocacy national health planning.

The role of facility-based surgical services in addressing the national burden of disease in New Zealand: an index of surgical incidence based on country-specific disease prevalence.

BACKGROUND: Surgery is a crucial component of health systems, yet its actual contribution has been difficult to define. We aimed to link use of national hospital service with national epidemiological surveillance data to describe the use of surgical procedures in the management of a broad spectrum of conditions. METHODS: We compiled Australian Modification-International Classification of Diseases-10 codes from the New Zealand National Minimum Dataset, 2008-11. Using primary cause of admission, we aggregated admissions to 91 hospitals into 119 disease states and 22 disease subcategories of the WHO Global Health Estimate (GHE). We queried each admission for any surgical procedure in a binary manner to determine the frequency of admitted patients whose care required surgery. Surgical procedures were defined as requiring general or neuroaxial anaesthesia. We then divided the volume of surgical cases by counts of disease prevalence from the GBD 2010 to determine surgical incidence. This study was approved by the University of Otago Human Ethics Committee (Health; Reference Number HD14/42). Raw data was only handled by coauthors with direct affiliation with the New Zealand Ministry of Health. FINDINGS: Between 2008 and 2011, there were 1 108 653 hospital admissions with 275 570 associated surgical procedures per year. Surgical procedures were associated with admissions for all 22 GHE disease subcategories and 116 of 119 GHE disease states (excluding intestinal nematode infections, iodine deficiency, and vitamin A deficiency). The subcategories with the largest surgical case volumes were unintentional injuries (48 073), musculoskeletal diseases (38 030), and digestive diseases (27 640), and the subcategories with the smallest surgical case volumes were nutritional deficiencies (13), neonatal conditions (204), and infectious and parasitic diseases (982). Surgical incidence ranged widely by individual disease states with the highest in other neurological conditions, abortion, appendicitis, obstructed labour, and maternal sepsis. INTERPRETATION: This study confirms previous research that surgical care is required across the entire spectrum of GHE disease subcategories, showing the crucial role of operative intervention in health systems. Surgical incidence might be useful as an index to estimate the need for surgical procedures in other populations. FUNDING: None.

Monitoring and evaluating surgical care: defining perioperative mortality rate and standardising data collection.

BACKGROUND: Case volume per 100 000 population and perioperative mortality rate (POMR) are key indicators to monitor and strengthen surgical services. However, comparisons of POMR have been restricted by absence of standardised approaches to when it is measured, the ideal denominator, need for risk adjustment, and whether data are available. We aimed to address these issues and recommend a minimum dataset by analysing four large mixed surgical datasets, two from well-resourced settings with sophisticated electronic patient information systems and two from resource-limited settings where clinicians maintain locally developed databases. METHODS: We obtained data from the New Zealand (NZ) National Minimum Dataset, the Geelong Hospital patient management system in Australia, and purpose-built surgical databases in Pietermaritzburg, South Africa (PMZ) and Port Moresby, Papua New Guinea (PNG). Information was sought on inclusion and exclusion criteria, coding criteria, and completeness of patient identifiers, admission, procedure, discharge and death dates, operation details, urgency of admission, and American Society of Anesthesiologists (ASA) score. Date-related errors were defined as missing dates and impossible discrepancies. For every site, we then calculated the POMR, the effect of admission episodes or procedures as denominator, and the difference between in-hospital POMR and 30-day POMR. To determine the need for risk adjustment, we used univariate and multivariate logistic regression to assess the effect on relative POMR for each site of age, admission urgency, ASA score, and procedure type. FINDINGS: 1 365 773 patient admissions involving 1 514 242 procedures were included, among which 8655 deaths were recorded within 30 days. Database inclusion and exclusion criteria differed substantially. NZ and Geelong records had less than 0·1% date-related errors and greater than 99·9% completeness. PMZ databases had 99·9% or greater completeness of all data except date-related items (94·0%). PNG had 99·9% or greater completeness for date of birth or age and admission date and operative procedure, but 80-83% completeness of patient identifiers and date related items. Coding of procedures was not standardised, and only NZ recorded ASA status and complete post-discharge mortality. In-hospital POMR range was 0·38% in NZ to 3·44% in PMZ, and in NZ it underestimated 30-day POMR by roughly a third. The difference in POMR by procedures instead of admission episodes as denominator ranged from 10% to 70%. Age older than 65 years and emergency admission had large independent effects on POMR, but relatively little effect in multivariate analysis on the relative odds of in-hospital death at each site. INTERPRETATION: Hospitals can collect and provide data for case volume and POMR without sophisticated electronic information systems. POMR should initially be defined by in-hospital mortality because post-discharge deaths are not usually recorded, and with procedures as denominator because details allowing linkage of several operations within one patient's admission are not always present. Although age and admission urgency are independently associated with POMR, and ASA and case mix were not included, risk adjustment might not be essential because the relative odds between sites persisted. Standardisation of inclusion criteria and definitions is needed, as is attention to accuracy and completeness of dates of procedures, discharge and death. A one-page, paper-based form, or alternatively a simple electronic data collection form, containing a minimum dataset commenced in the operating theatre could facilitate this process. FUNDING: None.

Estimated need for surgery worldwide based on prevalence of diseases: a modelling strategy for the WHO Global Health Estimate.

BACKGROUND: Surgery is a foundational component of health-care systems. However, previous efforts to integrate surgical services into global health initiatives do not reflect the scope of surgical need and many health systems do not provide essential interventions. We estimate the minimum global volume of surgical need to address prevalent diseases in 21 epidemiological regions from the Global Burden of Disease Study 2010 (GBD). METHODS: Prevalence data were obtained from GBD 2010 and organised into 119 disease states according to the WHO's Global Health Estimate (GHE). These data, representing 187 countries, were then apportioned into the 21 GBD epidemiological regions. Using previously defined values for the incident need for surgery for each of the 119 GHE disease states, we calculate minimum global need for surgery based on the prevalence of each condition in each region. FINDINGS: We estimate that at least 321·5 million surgical procedures would be needed to address the burden of disease for a global population of 6·9 billion in 2010. Minimum rates of surgical need vary across regions, ranging from 3383 operations per 100 000 in central Latin America to 6495 operations per 100 000 in western sub-Saharan Africa. Global surgical need also varied across subcategories of disease, ranging from 131 412 procedures for nutritional deficiencies to 45·8 million procedures for unintentional injuries. INTERPRETATION: The estimated need for surgical procedures worldwide is large and addresses a broad spectrum of disease states. Surgical need varies between regions of the world according to disease prevalence and many countries do not meet the basic needs of their populations. These estimates could be useful for policy makers, funders, and ministries of health as they consider how to incorporate surgical capacity into health systems. FUNDING: US National Institutes of Health.

The role of facility-based surgical services in addressing the national burden of disease in New Zealand: An index of surgical incidence based on country-specific disease prevalence.

BACKGROUND: Surgery is a crucial component of health systems, yet its contribution has been difficult to define. We linked national hospital service utilization with national epidemiologic data to describe the use of surgical procedures in the management of a broad spectrum of conditions. METHODS: We compiled International Classification of Diseases-10-Australian Modification codes from the New Zealand National Minimum Dataset, 2008-2011. Using primary cause of admission, we aggregated hospitalizations into 119 disease states and 22 disease subcategories of the World Health Organization Global Health Estimate (GHE). We queried each hospitalization for any surgical procedure in a binary manner to determine the volume of surgery for each disease state. Surgical procedures were defined as requiring general or neuroaxial anesthesia. We then divided the volume of surgical cases by counts of disease prevalence from the Global Burden of Disease Study 2010 to determine annual surgical incidence. RESULTS: Between 2008 and 2011, there were 1,108,653 hospital admissions with 275,570 associated surgical procedures per year. Surgical procedures were associated with admissions for all 22 GHE disease subcategories and 116 of 119 GHE disease states. The sub-categories with the largest surgical case volumes were Unintentional Injuries (48,073), Musculoskeletal Diseases (38,030), and Digestive Diseases (27,640). Surgical incidence ranged widely by individual disease states with the highest in: Other Neurological Conditions, Abortion, Appendicitis, Obstructed Labor, and Maternal Sepsis. CONCLUSION: This study confirms that surgical care is required across the entire spectrum of GHE disease subcategories, illustrating a critical role in health systems. Surgical incidence might be useful as an index to estimate the need for surgical procedures in other populations.

Toward a standard approach to measurement and reporting of perioperative mortality rate as a global indicator for surgery.

INTRODUCTION: The proportion of patients who die during or after surgery, otherwise known as the perioperative mortality rate (POMR), is a credible indicator of the safety and quality of operative care. Its accuracy and usefulness as a metric, however, particularly one that enables valid comparisons over time or between jurisdictions, has been limited by lack of a standardized approach to measurement and calculation, poor understanding of when in relation to surgery it is best measured, and whether risk-adjustment is needed. Our aim was to evaluate the value of POMR as a global surgery metric by addressing these issues using 4, large, mixed, surgical datasets that represent high-, middle-, and low-income countries. METHODS: We obtained data from the New Zealand National Minimum Dataset, the Geelong Hospital patient management system in Australia, and purpose-built surgical databases in Pietermaritzburg, South Africa, and Port Moresby, Papua New Guinea. For each site, we calculated the POMR overall as well as for nonemergency and emergency admissions. We assessed the effect of admission episodes and procedures as the denominator and the difference between in-hospital POMR and POMR, including postdischarge deaths up to 30 days. To determine the need for risk-adjustment for age and admission urgency, we used univariate and multivariate logistic regression to assess the effect on relative POMR for each site. RESULTS: A total of 1,362,635 patient admissions involving 1,514,242 procedures were included. More than 60% of admissions in Pietermaritzburg and Port Moresby were emergencies, compared with less than 30% in New Zealand and Geelong. Also, Pietermaritzburg and Port Moresby had much younger patient populations (P < .001). A total of 8,655 deaths were recorded within 30 days, and 8-20% of in-hospital deaths occurred on the same day as the first operation. In-hospital POMR ranged approximately 9-fold, from 0.38 per 100 admissions in New Zealand to 3.44 per 100 admissions in Pietermaritzburg. In New Zealand, in-hospital 30-day POMR underestimated total 30-day POMR by approximately one third. The difference in POMR if procedures were used instead of admission episodes ranged from 7 to 70%, although this difference was less when central line and pacemaker insertions were excluded. Age older than 65 years and emergency admission had large, independent effects on POMR but relatively little effect in multivariate analysis on the relative odds of in-hospital death at each site. CONCLUSION: It is possible to collect POMR in countries at all level of development. Although age and admission urgency are strong, independent associations with POMR, a substantial amount of its variance is site-specific and may reflect the safety of operative and anesthetic facilities and processes. Risk-adjustment is desirable but not essential for monitoring system performance. POMR varies depending on the choice of denominator, and in-hospital deaths appear to underestimate 30-day mortality by up to one third. Standardized approaches to reporting and analysis will strengthen the validity of POMR as the principal indicator of the safety of surgery and anesthesia care.

Preventability of severe acute maternal morbidity.

OBJECTIVE: We sought to assess potential preventability of severe acute maternal morbidity (SAMM) cases admitted to intensive-care units (ICUs) or high-dependency units (HDUs). STUDY DESIGN: Inclusion criteria were admissions to ICUs or HDUs of women who were pregnant or within 42 days of delivery in 4 District Health Board areas (accounting for a third of annual births in New Zealand) during a 17-month period. Cases were reviewed by external multidisciplinary panels using a validated model for assessing preventability. RESULTS: In all, 98 SAMM cases were assessed; 38 (38.8%) cases were deemed potentially preventable, 36 (36.7%) not preventable but improvement in care was needed, and 24 (24.5%) not preventable. The most frequent preventable factors were clinician related: delay or failure in diagnosis or recognition of high-risk status (51%); and delay or inappropriate treatment (70%). The most common causes of preventable severe morbidity were blood loss and septicemia. CONCLUSION: The majority of SAMM cases were potentially preventable or required improvement in care. Themes around substandard care related to delay in diagnosis and treatment for postpartum hemorrhage and septicemia. These findings can inform clinical educational programs and policies to improve maternal outcomes. This study has now been expanded to a national New Zealand audit of all SAMM cases admitted to an ICU/HDU.

Audit of severe acute maternal morbidity describing reasons for transfer and potential preventability of admissions to ICU.

BACKGROUND: Maternal mortality is a rare event in the developed world. Assessment of severe acute maternal morbidity (SAMM) is therefore an appropriate measure of the quality of maternity care. AIMS: The aim of the study was to conduct a retrospective audit of SAMM cases (pregnant women admitted to a New Zealand Intensive Care Unit) to describe clinical, socio-demographic characteristics, pregnancy outcomes and preventability. METHODS: Severe acute maternal morbidity cases were reviewed by a multidisciplinary panel to determine reasons for admission to ICU, to classify organ-system dysfunction and to determine whether the SAMM case was preventable or not. Inclusion criteria were: admission to ICU between 2005 and 2007 during pregnancy or within 42 days of delivery. RESULTS: Twenty-nine SAMM cases were reviewed, of which 10 (35%) were deemed preventable. The most common reasons for transfer to ICU were: the need for invasive vascular monitoring, hypotension and disseminated intravascular coagulation. The most frequent types of preventable events were: inadequate diagnosis/recognition of high-risk status, inappropriate treatment, communication problems and inadequate documentation. All five SAMM cases of septicaemia were deemed preventable. Of the ten preventable cases, three were Maori (50% of the Maori in total audit), four were Pacific (67% of the Pacific in total audit) and three were women of 'other' ethnicities (17.6%, 3 of 17 in the audit). CONCLUSIONS: An audit of SAMM cases describing reasons for transfer to ICU and preventability is feasible. We recommend that a prospective national SAMM audit process be introduced in New Zealand as a quality of care measure.

Education to address medical error--a role for high fidelity patient simulation.

AIMS: To describe and evaluate a simulation based course that emphasizes the role of teamwork in the management of both crises and errors. METHODS: The course allowed participants to experience and manage simulated crises. Emphasis was placed on important error management strategies such as communication, leadership and delegation of workload. A computerized mannequin that is physiologically and pharmacologically responsive was used to run life-like crisis scenarios. The scenarios were videotaped and reviewed during a debriefing discussion after each crisis. Scenarios were alternated with tutorials that addressed error management, communication and medico-legal issues. Participants evaluated the courses using 5-point Likert scales and free comments. RESULTS: In 1999 and 2000, 172 participants (34% of New Zealand anaesthetists) attended one of these courses. Evaluation forms were received from 151 participants (88%). The global evaluations had median scores of 4 or 5 and all respondents would recommend the course to others. The responses from 50 participants indicated that the course should be repeated at least every two years. CONCLUSION: New Zealand anaesthetists found this an acceptable and useful form of training. Teamwork is an effective strategy in crisis management and error reduction and is worthy of consideration within the broader context of medical education.