The Volume and Cost of Quality Metric Reporting.

Importance: US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Conclusions and Relevance: Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.

Association of Proximity to a Long-Term Acute Care Hospital With Hospital Tracheostomy Practices.

OBJECTIVES: Availability of long-term acute care hospitals has been associated with hospital discharge practices. It is unclear if long-term acute care hospital availability can influence patient care decisions. We sought to determine the association of long-term acute care hospital availability at different hospitals with the likelihood of tracheostomy. DESIGN: Retrospective cohort study. SETTING: California Patient Discharge Database, 2016-2018. PATIENTS: Adult patients receiving mechanical ventilation for respiratory failure. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Using the California Patient Discharge Database 2016-2018, we identified all mechanically ventilated patients and those who received tracheostomy. We determine the association between tracheostomy and the distance between each hospital and the nearest long-term acute care hospital and the number of long-term acute care hospital beds within 20 miles of each hospital. Among 281,502 hospitalizations where a patient received mechanical ventilation, 22,899 (8.1%) received a tracheostomy. Patients admitted to a hospital closer to a long-term acute care hospital compared with those furthest from a long-term acute care hospital had 38.9% (95% CI, 33.3-44.6%) higher odds of tracheostomy (closest hospitals 8.7% vs furthest hospitals 6.3%, adjusted odds ratio = 1.65; 95% CI, 1.40-1.95). Patients had a 32.4% (95% CI, 27.6-37.3%) higher risk of tracheostomy when admitted to a hospital with more long-term acute care hospital beds in the immediate vicinity (most long-term acute care hospital beds within 20 miles 8.9% vs fewest long-term acute care hospital beds 6.7%, adjusted odds ratio = 1.54; 95% CI, 1.31-1.80). Distance to the nearest long-term acute care hospital was inversely correlated with hospital risk-adjusted tracheostomy rates (ρ = -0.25; p < 0.0001). The number of long-term acute care hospital beds within 20 miles was positively correlated with hospital risk-adjusted tracheostomy rates (ρ = 0.22; p < 0.0001). CONCLUSIONS: Proximity and availability of long-term acute care hospital beds were associated with patient odds of tracheostomy and hospital tracheostomy practices. These findings suggest a hospital effect on tracheostomy decision-making over and above patient case-mix. Future studies focusing on shared decision-making for tracheostomy are needed to ensure goal-concordant care for prolonged mechanical ventilation.

Validation of the days alive and out of hospital outcome measure after emergency laparotomy: a retrospective cohort study.

BACKGROUND: Days alive and out of hospital (DAOH) is a composite, patient-centred outcome measure describing a patient's postoperative recovery, encompassing hospitalisation and mortality. DAOH is the number of days not in hospital over a defined postoperative period; patients who die have DAOH of zero. The Standardising Endpoints in Perioperative Medicine (StEP) group recommended DAOH as a perioperative outcome. However, DAOH has never been validated in patients undergoing emergency laparotomy. Here, we validate DAOH after emergency laparotomy and establish the optimal duration of observation. METHODS: Prospectively collected data of patients having emergency laparotomy in England (December 1, 2013-November 30, 2017) were linked to national hospital admission and mortality records for the year after surgery. We evaluated construct validity by assessing DAOH variation with known perioperative risk factors and predictive validity for 1 yr mortality using a multivariate Bayesian mixed-effects logistic regression. The optimal postoperative DAOH period (30 or 90 days) was judged on distributional and pragmatic properties. RESULTS: We analysed 78 921 records. The median 30-day DAOH (DAOH30) was 16 (inter-quartile range [IQR], 0-22) days and the median DAOH90 was 75 (46-82) days. DAOH was shorter in the presence of known perioperative risk factors. For patients surviving the first 30 postoperative days, shorter DAOH30 was associated with higher 1-yr mortality (odds ratio=0.94; 95% credible interval, 0.94-0.94). CONCLUSION: DAOH is a valid, patient-centred outcome after emergency laparotomy. We recommend its use in clinical trials, quality assurance, and quality improvement, measured at 30 days as mortality heavily skews DAOH measured at 90 days and beyond.

Hospital Volume and Outcome after Bilateral Internal Mammary Artery Grafting.

BACKGROUND: Bilateral internal mammary artery (BIMA) grafting largely is underutilized in patients undergoing coronary artery bypass grafting (CABG), partly because of the perceived increased complexity of the procedure. AIMS: In this study, we evaluated whether BIMA grafting can safely be performed also in centers, where this revascularization strategy infrequently is adopted. METHODS: Out of 6,783 patients from the prospective multicenter E-CABG study, who underwent isolated non- emergent CABG from January 2015 to December 2016, 2,457 underwent BIMA grafting and their outcome was evaluated in this analysis. RESULTS: The mean number of BIMA grafting per center was 82 cases/year and hospitals were defined as high or low volume, according to this cutoff value. Six hospitals were considered as centers with a high volume of BIMA grafting (no. of procedures ranging from 120 to 267/year; overall: 2,156; prevalence: 62.2%) and nine hospitals as centers with a low volume of BIMA grafting (no. of procedures ranging from 2 to 39/year; overall: 301; prevalence: 9.1%). Multilevel mixed-effects regression analysis showed that the low- and high-volume cohorts had similar outcomes. Propensity score one-to-one matching analysis of 292 pairs showed that the low-volume cohort had a significantly shorter intensive care unit stay (2.2 ± 2.3 versus 2.9 ± 4.8 days, P = .020). The rates of in-hospital death (1.0% versus 0.3%, P = .625), deep sternal wound infection/mediastinitis (3.8% versus 3.1%, P = .824), and 1-year survival (98.1% versus 99.7%, P = .180) as well as other outcomes were similar between the high- and low-volume cohorts. CONCLUSIONS: BIMA grafting can be safely performed also in centers in which this revascularization strategy is infrequently performed.

Surface urban heat islands in the mega city of Karachi, their spatial distribution and health emergency response infrastructure.

The 2015 heat wave resulted in an estimated over 1200 deaths during the month of June. However, there were no records on the spatial distribution of the effects of this heat wave. An analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) daily data was conducted to identify regions that experienced above normal temperatures in 2015. An analysis of the monthly averages showed that in general April and May were the warmer months in Karachi, unlike the case in 2015. In addition, the general warm trends were common in the highly industrialised Sindh Industrial Trading Estate (SITE) and Liaquatabad towns, while Gadap, with its mostly barren land, and New Karachi also experience higher temperatures. Coastal towns were naturally cooler and more habitable in the given scenario. A count of the spatial presence of health facilities for the city was also extracted where Gadap and Korangi were poorly served while the more affluent towns of Defence Housing Authority (DHA) and Gulshan-e-Iqbal appeared to be better served.

Measures of hospital competition and their impact on early mortality for congestive heart failure, acute myocardial infarction and cardiac surgery.

OBJECTIVE: To measure competition amongst providers and to examine whether a correlation exists with hospitals mortality for congestive heart failure (CHF), acute myocardial infarction (AMI), isolated-coronary artery bypass graft (CABG) or valve surgery. DESIGN: Cross-sectional study based on publically available data from the National Outcome Evaluation Program (Edition 2016) of the Italian Agency for Regional Health Services. SETTING AND PARTICIPANTS: Patients discharged during 2015 for CHF or AMI, and between 2014 and 2015 for cardiac surgery (respectively, from 662, 395 and 91 hospitals). MAIN OUTCOME MEASURES: Risk-adjusted mortality rates at 30 days and measures of hospital competition for areas centred on hospital' location (fixed-radius 50-150 km, variable-radius to capture 10-30 hospitals and 6-10% of national volume). Competition was estimated as number of providers and Herfindahl-Hirschman Index (HHI). RESULTS: Indicators of competitions varied by condition and were sensitive to method used for the area definition. Hospital mortality after AMI and valve surgery increased with competition in areas identified by the variable-radius method (higher rates for a greater number of hospitals or lower HHIs). In area with fixed radius of 100-150 km, competition reduced mortality after CABG procedures (lower rates for a greater number of hospitals or smaller HHIs). Neither the number of hospitals nor HHI correlated with outcomes in CHF. CONCLUSIONS: The measures of hospital competition changed according to definition of local market and results in mortality correlations varied among conditions. Understanding the relationship between hospital competition and outcomes is important to identify strategies to improve quality of care.

Cancer in the NorthEast India: Where we are and what needs to be done?

North East Region in India is showing a peculiar type of cancer incidence pattern. This is an attempt to get a clear picture of cancer in NE India, the gaps in providing cancer care, and a way forward for a healthier NE. For this purpose, a desk review was undertaken along with secondary data analysis in 2018. In NE, the survival rate is comparatively very low, with higher proportion of distant metastasis cases at diagnosis. Even worse, the NE region lacks required infrastructure with respect to specialized treatment facilities, human resources, etc., In view of high burden of the disease with very limited resources, a multidisciplinary, multidimensional, and multilevel approach are needed to protect this vibrant region from becoming the cancer hub.

Treatment gap for convulsive status epilepticus in resource-poor countries.

The magnitude of the treatment gap (TG) for convulsive status epilepticus (CSE) in resource-poor countries is unknown. Hospital-based cohort studies from developing countries revealed that the management of CSE was usually suboptimal due to lack of advanced diagnostic and treatment facilities, significant delay in patient's presentation at hospital, and shortages of essential antiepileptic drugs (AEDs). However, there were no significant differences in the proportion of refractory status epilepticus, short-term mortalities, and morbidities of CSE between the developed and the developing countries. Therefore, the presence of significant TG for CSE in developing countries is still an assumption without evidence. We conducted an expert survey in Asia for potential sources of TG. Experts from 16 Asian countries responded to the questionnaire. An injectable form of diazepam was available in all 16 countries even at the primary care level, but intravenous lorazepam was available only in four countries. Second-line AEDs were widely available at tertiary care hospitals, but not at primary care hospitals. Lack of second-line AEDs at primary care hospitals, significant delay in patient transportation to the hospital, shortages of intensive care unit facilities, and absence of trained physicians were important contributing factors to TG in Asia.

Epilepsy surgery in Panama: Establishment of a successful hybrid program as a model for small middle-income countries.

OBJECTIVE: The majority of the 65 million people worldwide with epilepsy live in low- and middle-income countries. Many of these countries have inadequate resources to serve the large patient population affected by epilepsy. Panama is a middle-income country that currently has only 2 facilities that can provide basic epilepsy services and no epilepsy surgery services. To address this need, a group of Panamanian physicians partnered with U.S. epilepsy health care providers to test a hybrid epilepsy surgery program, combining resources and expertise. METHODS: From 2011 to 2017, a multidisciplinary team of neurologists, neurosurgeons, and an electroencephalography (EEG) technician from the United States traveled to Panama 6 times and, in collaboration with the local team, performed surgical procedures for intractable epilepsy at the national children's hospital. Resective surgeries were performed with intraoperative electrocorticography and/or implantation of subdural and depth electrodes and extra-operative monitoring. Cost was calculated using Panama government data. RESULTS: Twenty-seven children with intractable epilepsy were surgically treated. Fifteen children are seizure-free (Engle class I), 11 children are Engel II, and one child is Engel III. No major morbidity or mortality occurred, with only one postoperative infection. The average cost of treatment was calculated at $9850 per patient. SIGNIFICANCE: This program is a model for creating a multinational and multi-institutional collaboration to provide surgical epilepsy treatment in a middle-income country without an adequate infrastructure. To be successful, this collaboration needed to address medical, technical, and cultural challenges. This partnership helps to alleviate some of the present need for surgical epilepsy services while laying the groundwork for the development of a future local independent epilepsy surgery program.

Measuring distance through dense weighted networks: The case of hospital-associated pathogens.

Hospital networks, formed by patients visiting multiple hospitals, affect the spread of hospital-associated infections, resulting in differences in risks for hospitals depending on their network position. These networks are increasingly used to inform strategies to prevent and control the spread of hospital-associated pathogens. However, many studies only consider patients that are received directly from the initial hospital, without considering the effect of indirect trajectories through the network. We determine the optimal way to measure the distance between hospitals within the network, by reconstructing the English hospital network based on shared patients in 2014-2015, and simulating the spread of a hospital-associated pathogen between hospitals, taking into consideration that each intermediate hospital conveys a delay in the further spread of the pathogen. While the risk of transferring a hospital-associated pathogen between directly neighbouring hospitals is a direct reflection of the number of shared patients, the distance between two hospitals far-away in the network is determined largely by the number of intermediate hospitals in the network. Because the network is dense, most long distance transmission chains in fact involve only few intermediate steps, spreading along the many weak links. The dense connectivity of hospital networks, together with a strong regional structure, causes hospital-associated pathogens to spread from the initial outbreak in a two-step process: first, the directly surrounding hospitals are affected through the strong connections, second all other hospitals receive introductions through the multitude of weaker links. Although the strong connections matter for local spread, weak links in the network can offer ideal routes for hospital-associated pathogens to travel further faster. This hold important implications for infection prevention and control efforts: if a local outbreak is not controlled in time, colonised patients will appear in other regions, irrespective of the distance to the initial outbreak, making import screening ever more difficult.

Contemporary rates of adherence to international guidelines for pelvic lymph node dissection in radical cystectomy: a population-based study.

OBJECTIVE: To examine the rates of adherence to guidelines for pelvic lymph node dissection (PLND) in patients treated with radical cystectomy (RC) and to identify predictors of omitting PLND. MATERIALS AND METHODS: We relied on 66,208 patients treated with RC between 2004 and 2013 within the National Inpatients Sample (NIS) database. We examined the rates of PLND according to year of surgery, patient and hospital characteristics. Univariate and multivariate logistic regression analyses assessed the probability of PLND use, after adjusting for year of surgery, age, gender, race, comorbidities, hospital location, teaching status and hospital surgical volume. RESULTS: Overall, PLND was performed on 54,223 (81.9%) RC patients. The rates PLND at RC significantly increased over the study period from 72.3% in 2004 to 85.9% in 2013, (p < 0.001). Barriers to PLND at RC consisted of female gender (OR: 1.31; 95% CI 1.25-1.38; p < 0.001), African American race (OR: 1.21; 95% CI 1.10-1.32; p < 0.001), intermediate (OR: 1.78; 95% CI 1.68-1.88; p < 0.001) or low surgical volume institutions (OR: 2.59; 95% CI 2.44-2.74; p < 0.001), non-teaching institution status (OR: 1.21; 95% CI 1.15-1.27; p < 0.001) and rural hospital location (OR: 1.13; 95% CI 1.01-1.25; p = 0.03). CONCLUSIONS: It is encouraging to note increasing rates of PLND at RC over time. Both patients and hospital characteristics influence PLND rates. More efforts should be aimed at reducing inequalities in PLND at RC due to these highly modifiable variables.

The design of an estimation norm to assess nurses required for educational and non-educational hospitals using workload indicators of staffing need in Iran.

BACKGROUND: One of the effective strategies in the fair distribution of human resources is the use of estimation norm of human workforce. A norm is a coefficient or an indicator for estimating the required human resources in an organization. Due to the changes in the available working hours of nurses in recent years and to use of a standard method, the Iranian Ministry of Health decided to update nursing estimation norm in hospitals in 2014-2015. This study aimed to design a nurse-required estimation norm for educational and non-educational hospitals based on the workload indicator in Iran. METHODS: This was a descriptive cross-sectional study, carried out from December 2015 to November 2016 in 49 wards in 12 educational and 17 non-educational hospitals in Mashhad, Iran. The wards and hospitals who had the best performance in nursing care quality indicators were selected. Focus group, work study, consensus, interview, and reviewing documents, staff and patient records, and the calculations of modified Workload Indicators of Staffing Needs (WISN) were used to collect the data. RESULTS: Patient care, cardiopulmonary resuscitation, and transfer out of the hospital were identified as the main activities of holding focus groups. Interviews and reviewing documents led to the identification of 10 factors associated with nurses' available working time. In both educational and non-educational hospitals, the annual working time of all nurses except nurses working in the burn and psychiatric, burn ICU, and pediatric psychiatry wards, which was 1302 h per year, was 1411 h per year. The calculations of the modified WISN method showed that the lowest norm in educational hospitals was for psychiatric, eye surgery, and dermatology wards (0.53) and in non-educational hospitals was for ENT ward (0.57). The highest norm in educational and non-educational hospitals was for burn ICU (3.95) and general ICU (3.07) wards, respectively. CONCLUSION: The nursing estimation norm in different wards of the hospital varies, considering that the time available to nurses and their workload in different wards and hospitals are different, and each ward has its special norm therefore, a single norm for all wards and hospitals cannot be used for a fair distribution of nurses.

Privatization in the Irish hospital sector since 1980.

Background: Privatization has transformed health care systems over the last several decades. This article examines trends in bed supply in Ireland between 1980 and 2015 within the context of government policy on bed provision in a system of inequitable access to care. Ireland has not published bed data on private hospitals since the 1980s, even if they comprise about one-quarter of all hospitals. However, this article presents, for the first time, annual bed data since the 1980s collected from private hospitals and used to trace the evolution of bed supply over time. Methods: Bed data were collected for private Irish hospitals for the years 1980-2015, mainly through direct requests to hospitals. Additional sources included the Irish Medical Directory, private health insurance data, hospital company records and newspaper archives. Results: Subject to data caveats explained in the article, between 1980 and 2015, total inpatient beds decreased by 25.5% nationally. Inpatient bed numbers in private for-profit (PFP) hospitals rose from 0 to 1075 but decreased from 9601 to 5216 in private not-for-profit (PNFP) hospitals and from 7028 to 6092 in public hospitals (using the Irish hospital classification, beds in private hospitals increased from 1518 to 1910 but decreased from 15 111 to 10 473 in public hospitals). Also, by 2015, 24.1% of PFP hospital beds were day beds, compared to 17.7% for PNFP and 15.7% for public hospitals (using the Irish classification, by 2015, day beds accounted for 23.8% of beds in private hospitals and 16.1% in public hospitals). Conclusions: Trends in bed supply in Ireland between 1980 and 2015 are documented empirically for all Irish acute hospitals and contextualized within government policy on bed provision. The Irish acute hospital system has experienced privatization reforms supported by the government over the last several decades.

Concentrating Emergency Rooms: Penny-Wise and Pound-Foolish? An Empirical Research on Scale Economies and Chain Economies in Emergency Rooms in Dutch Hospitals.

In this paper, we address the issue of whether it is economically advantageous to concentrate emergency rooms (ERs) in large hospitals. Besides identifying economies of scale of ERs, we also focus on chain economies. The latter term refers to the effects on a hospital's costs of ER patients who also need follow-up inpatient or outpatient hospital care. We show that, for each service examined, product-specific economies of scale prevail indicating that it would be beneficial for hospitals to increase ER services. However, this seems to be inconsistent with the overall diseconomies of scale for the hospital as a whole. This intuitively contradictory result is indicated as the economies of scale paradox. This scale paradox also explains why, in general, hospitals are too large. There are internal (departmental) pressures to expand certain services, such as ER, in order to benefit from the product-specific economies of scale. However, the financial burden of this expansion is borne by the hospital as a whole. The policy implications of the results are that concentrating ERs seems to be advantageous from a product-specific perspective, but is far less advantageous from the hospital perspective. © 2016 The Authors. Health Economics Published by John Wiley & Sons, Ltd.

Potential accessibility scores for hospital care in a province of Japan: GIS-based ecological study of the two-step floating catchment area method and the number of neighborhood hospitals.

BACKGROUND: For achieving equity of the accessibility to primary healthcare, measuring potential geographical accessibility is essential. The provider-to-population ratio is the most frequently used measure. However, it is difficult to be used in closer region because it does not take into consideration the people and health services beyond its boundary. In order to overcome this problem, we measured the potential access to hospital, using both distance measures and the enhanced two-step floating catchment area (E2SFCA) method. The aim of this study was to compare the number of hospitals in the neighborhood and the E2SFCA score with regard to the amount and equity for access to hospitals. METHODS: This descriptive study used publicly available data from 2010. The E2SFCA score and number of neighborhood hospitals were obtained from Tochigi province in Japan using a geographic information system. Dataset of four measures by each census tract was obtained. The measures were E2SFCA score, number of hospitals within the 5 km range, number of hospitals within the 10 km range, and number of hospitals within the 15 km range. Correlation and disparity analyses with the Lorenz curve and Gini coefficient were performed. RESULTS: The measures were obtained in a smaller area than municipality considering adjacent areas using a geographical approach. The E2SFCA score was 5.3 [3.2-7.3] hospitals/million (median [quantile range]), compared to 5.6 hospitals/million in total for the given district. The median number of hospitals within the 5 km, 10 km, and 15 km ranges were 1, 39, and 47, respectively. There was no hospital within the 5 km range in one third of the blocks. Both the number of hospitals within the 10 km range and those within the 15 km range were well correlated. Regional difference became smaller as the distance to count the number of hospitals increased. The gap between small number of hospitals and the high E2SFCA score indicated the location of community hospital in depopulated areas. CONCLUSIONS: The E2SFCA method is superior for analyzing spatial access to hospital, because it provides information in the closer sub-regions. Regional differences were hardly seen in access to hospital beyond the 10 km range. Further studies in other regions and countries are needed for precise assessment.

Hospitals admitting at least 100 patients with stroke a year should have a stroke unit: a case study from Australia.

BACKGROUND: Establishing a stroke unit (SU) in every hospital may be infeasible because of limited resources. In Australia, it is recommended that hospitals that admit ≥100 strokes per year should have a SU. We aimed to describe differences in processes of care and outcomes among hospitals with and without SUs admitting at least 100 patients/year. METHODS: National stroke audit data of 40 consecutive patients per hospital admitted between 1/7/2010-31/12/2010 and organizational survey for annual admissions were used. Descriptive analyses and multilevel regression were used to compare patient outcomes. Sensitivity analysis including only hospitals meeting all of the Australian SU criteria (e.g., co-location of beds; inter-professional team; weekly meetings; regular training) was performed. RESULTS: Two thousand eight hundred ninety-eight patients from 72/108 eligible hospitals completing the audit (SU = 60; patients: 2,481 [mean age 76 years; 55% male] and non-SU patients: 417 [mean age 77; 53% male]). Hospitals with SUs had greater adherence to recommended care processes than non-SU hospitals. Patients treated in a SU hospital had fewer new strokes while in hospital (OR: 0.20; 95% CI 0.06, 0.61) and there was a borderline reduction in the odds of dying in hospital compared to patients in non-SU hospitals (OR 0.57 95%CI 0.33, 1.00). Among SU hospitals meeting all SU criteria (n = 59; 91%) the adjusted odds of having a poor outcome was further reduced compared with patients attending non-SU hospitals. CONCLUSION: Hospitals annually admitting ≥100 patients with acute stroke should be prioritized for establishment of a SU that meet all recommended criteria to ensure better outcomes.

[Trauma surgery in Pacific Small Island Developing States (SIDS)]. / Unfallchirurgie in den kleinen Inselnationen des Pazifiks.

BACKGROUND: The small developing countries in the Pacific are grouped together as Small Island Development States (SIDS) because they face similar problems which they cannot cope with nationally. They are developing countries, so-called low and lower middle income countries (LMIC), are economically weak and the islands of the different nations are widely scattered. Approximately 80% of the 10 million inhabitants live in rural regions. EPIDEMIOLOGY AND SURGICAL CAPACITY: Over 40% of patients in the surgical departments of hospitals are hospitalized for injuries, and this tendency is increasing. Fractures of the upper extremities are relatively more frequent in the Pacific than in the countries of the North. Long distances, lack of possibilities for treatment and lack of transport often cause complications, such as infected open fractures, pseudarthrosis and posttraumatic malformations. There are too few hospitals with sufficiently competent surgeons, anesthetists and obstetricians (SAO) and appropriate equipment. PACIFIC ISLANDS ORTHOPEDIC ASSOCIATION (PIOA): The PIOA was founded in Honiara, Solomon Islands, and offers surgeons of the Pacific SIDS a comprehensive, structured trauma and orthopedic surgery training in their own countries. It lasts 4 years and leads to an M­Med (orthopaedic surgery) diploma and to a Fellowship of the International College of Surgeons (FICS), which are both recognized by the participating hospitals. It is free for participants. THE AO ALLIANCE FOUNDATION (AOAF): The AOAF is an independent organization with the only aim to enhance trauma surgery capacity in LMICs. The AOAF supports the PIOA program together with the Wyss Medical Foundation. Currently, 18 trainees from 8 Pacific SIDS are participating in the PIOA training program.

[Patient-sharing networks : New approaches in the analysis and transformation of geographic variation in healthcare]. / Virtuelle Behandlernetzwerke : Neue Ansätze zur Analyse und Veränderung räumlicher Versorgungsunterschiede.

The analysis of geographic variations has spurred arguments that area of residence determines access to and quality of healthcare. In this paper we argue that unwarranted geographic variations can be traced back to actions of individual patients and their healthcare providers (doctors, hospitals). These actors interact in a complicated web of shared responsibilities. Designing effective interventions to reduce unwarranted geographic variations may therefore depend on methods to identify these interactions and communities of providers with a shared accountability. In the US, Canada, and Germany, routine data have been used to identify self-organized informal or virtual networks of physicians and hospitals, so-called patient-sharing networks (PSNs). This is an emerging field of analysis. We attempt to provide a brief report on the state of work in progress. It can be shown that variation between PSNs in a given area is effectively greater than variation between regions. While this suggests that reducing unwarranted variation needs to start at the level of PSN, methods to identify PSNs still vary widely. We compare epidemiological approaches and approaches based on graph theory and social network analysis. We also present some preliminary findings of exploratory analyses based on comprehensive claims data of physician practices in Germany. Defining PSNs based on usual provider relationships helps to create distinctive patient populations while PSNs may not be mutually exclusive. Social network analysis, on the other hand, appears better equipped to differentiate between provider communities with stronger and weaker ties; it does not yield distinctive patient populations. To achieve accountability and to support change management, analytic methods to describe PSNs still need refinement. There are first projects in Germany which use PSNs as an intervention platform in order to achieve improved cooperation and reduce unwarranted variation in their care processes.

Volume and health outcomes: evidence from systematic reviews and from evaluation of Italian hospital data. / Volumi di attività ed esiti delle cure: prove scientifiche in letteratura ed evidenze empiriche in Italia.

BACKGROUND Improving quality and effectiveness of healthcare is one of the priorities of health policies. Hospital or physician volume represents a measurable variable with an impact on effectiveness of healthcare. An Italian law calls for the definition of «qualitative, structural, technological, and quantitative standards of hospital care¼. There is a need for an evaluation of the available scientific evidence in order to identify qualitative, structural, technological, and quantitative standards of hospital care, including the volume of care above or below which the public and private hospitals may be accredited (or not) to provide specific healthcare interventions. OBJECTIVES To identify conditions/interventions for which an association between volume and outcome has been investigated. To identify conditions/interventions for which an association between volume and outcome has been proved. To analyze the distribution of Italian health providers by volume of activity. To measure the association between volume of care and outcomes of the health providers of the Italian National Health Service (NHS). METHODS Systematic review An overview of systematic reviews was performed searching PubMed, EMBASE, and The Cochrane Library up to November 2016. Studies were evaluated by 2 researchers independently; quality assessment was performed using the AMSTAR checklist. For each health condition and outcome, if available, total number of studies, participants, high volume cut-off values, and metanalysis have been reported. According to the considered outcomes, health topics were classified into 3 groups: positive association: a positive association was demonstrated in the majority of studies/participants and/or a pooled measure (metanalysis) with positive results was reported; lack of association: both studies and/or metanalysis showed no association; no sufficient evidence of association: both results of single studies and metanalysis do not allow to draw firm conclusions on the association between volume and outcome. Analysis of the distribution of Italian hospitals by volume of activity and the association between volume of activity and outcomes: the Italian National Outcome evaluation Programme 2016 The analyses were performed using the Hospital Information System and the National Tax Register (year 2015). For each condition, the number of hospitals by volume of activity was calculated. Hospitals with a volume lower than 3-5 cases/year were excluded. For conditions with more than 1,500 cases/year and frequency of outcome ≥1%, the association between volume of care and outcome was analyzed estimating risk-adjusted outcomes. RESULTS Bibliographic searches identified 80 reviews, evaluating 48 different clinical areas. The main outcome considered was intrahospital/30-day mortality. The other outcomes vary depending on the type of condition or intervention in study. The relationship between hospital volume and outcomes was considered in 47 out of 48 conditions: 34 conditions showed evidence of a positive association; • 14 conditions consider cancer surgery for bladder, breast, colon, rectum, colon rectum, oesophagus, kidney, liver, lung, ovaries, pancreas, prostate, stomach, head and neck; • 11 conditions consider cardiocerebrovascular area: nonruptured and ruptured abdominal aortic aneurysm, acute myocardial infarction, brain aneurysm, carotid endarterectomy, coronary angioplasty, coronary artery bypass, paediatric heart surgery, revascularization of lower limbs, stroke, subarachnoid haemorrhage; • 2 conditions consider orthopaedic area: knee arthroplasty, hip fracture; • 7 conditions consider other areas: AIDS, bariatric surgery, cholecystectomy, intensive care unit, neonatal intensive care unit, sepsis, and traumas; for 3 conditions, no association was demonstrated: hip arthroplasty, dialysis, and thyroidectomy. for the remaining 10 conditions, the available evidence does not allow to draw firm conclusions about the association between hospital volume and considered outcomes: surgery for testicular cancer and intracranial tumours, paediatric oncology, aortofemoral bypass, cardiac catheterization, appendectomy, colectomy, inguinal hernia, respiratory failure, and hysterectomy. The relationship between volume of clinician/surgeon and outcomes was assessed only through the literature re view; to date, it is not possible to analyze this association for Italian health provider hospitals, since information on the clinician/surgeon on the hospital discharge chart is missing. The literature found a positive association for 21 conditions: 9 consider surgery for cancer: bladder, breast, colon, colon rectum, pancreas, prostate, rectum, stomach, and head and neck; 5 consider the cardiocerebrovascular area: ruptured and nonruptured abdominal aortic aneurysm, carotid endarterectomy, paediatric heart surgery, and revascularization of the lower limbs; 2 consider the orthopaedic area: knee and hip arthroplasty; 5 consider other areas: AIDS, bariatric surgery, hysterectomy, intensive care unit, and thyroidectomy. The analysis of the distribution of Italian hospitals concerned the 34 conditions for which the systematic review has shown a positive volume-outcome association. For the following, it was possible to conduct the analysis of the association using national data: unruptured abdominal aortic aneurysm, coronary angioplasty, hip arthroplasty, knee arthroplasty, coronary artery bypass, cancer surgery (colon, liver, breast, pancreas, lung, prostate, kidney, and stomach), laparoscopic cholecystectomy, hip fracture, stroke, acute myocardial infarction. For these conditions, the association between volume and outcome of care was observed. For laparoscopic cholecystectomy and surgery of the breast and stomach cancer, the association between the volume of the discharge (o dismissal) operating unit and the outcome was analyzed. The outcomes differ depending on the condition studied. The shape of the relationship is variable among different conditions, with heterogeneous slope of the curves. DISCUSSION For many conditions, the overview of systematic reviews has shown a strong evidence of association between higher volumes and better outcomes. The quality of the available reviews can be considered good for the consistency of the results between the studies and for the strength of the association; however, this does not mean that the included studies are of good quality. Analyzing national data, potential confounders, including age and comorbidities, have been considered. The systematic review of the literature does not permit to identify predefined volume thresholds. The analysis of national data shows a strong improvement in outcomes in the first part of the curve (from very low to higher volumes) for most conditions. In some cases, the improvement in outcomes remains gradual or constant with the increasing volume of care; in other, the analysis could allow the identification of threshold values beyond which the outcome does not further improve. However, a good knowledge of the relationship between effectiveness of treatments and costs, the geographical distribution and the accessibility to healthcare services are necessary to choose the minimum volumes of care, under which specific health procedures could not been provided in the NHS. Some potential biases due to the use of information systems data should also be considered. The different way of coding among hospitals could lead to a different selection of cases for some conditions. Regarding the definition of the exposure (volume of care), a possible bias could result from misclassification of health providers with high volume of activity. Performing the intervention in different departments/ units of the same hospital would result in an overestimation of the volume of care measured for hospital rather than for department/unit. For the conditions with a further fragmentation within the same structure, the association between volumes of discharge department and outcomes has also been evaluated. In this case, the two curves were different. The limit is to attribute the outcome to the discharge unit, which in case of surgery may not be the intervention unit. A similar bias could occur if the main determinant of the outcome of treatment was the caseload of each surgeon. The results of the analysis may be biased when different operators in the same hospital/unit carried out the same procedure. In any case, the observed association between volumes and outcome is very strong, and it is unlikely to be attributable to biases of the study design. Another aspect on which there is still little evidence is the interaction between volume of the hospital and of the surgeon. A MEDICARE study suggests that in some conditions, especially for specialized surgery, the effect of the surgeon's volume of activity is different depending on the structure volume, whereas it would not differ for some less specialized surgery conditions. The data here presented still show extremely fragmented volumes of both clinical and surgical areas, with a predominance of very low volume structures. Health systems operate, by definition, in a context of limited resources, especially when the amount of resources to allocate to the health system is reduced. In such conditions, the rationalization of the organization of health services based on the volume of care may make resources available to improve the effectiveness of interventions. The identification and certification of services and providers with high volume of activity can help to reduce differences in the access to non-effective procedures. To produce additional evidence to guide the reorganization of the national healthcare system, it will be necessary to design further primary studies to evaluate the effectiveness and safety of policies aimed at concentrating interventions in structures with high volumes of activity.

Examining an alcohol health worker service's patient coverage.

Alcohol health workers (AHWs) have been found to be effective at reducing alcohol-related hospital admissions, but there is still a paucity of evidence in keys areas. This was the first study to investigate what percentage of patients referred to an AHW service by alcohol screening tools are actually seen by the AHWs. The study-based in a large teaching hospital in the north of England-also investigated the impact of social deprivation on service usage. Research data came from a patient database and semi-structured interviews with AHWs. Further research is required to better understand the 'harm paradox' of patients' differential susceptibility to alcohol-related harm and how this might impact AHW service patient flow.