Literature DB >> 35503970

Surgical Error Compensation Claims as a Patient Safety Indicator: Causes and Economic Consequences in the Murcia Health System, 2002 to 2018.

Jorge Vicente-Guijarro, José Lorenzo Valencia-Martín, Carlos Fernández-Herreruela, Paulo Sousa, José Joaquín Mira Solves, Jesús María Aranaz-Andrés.   

Abstract

OBJECTIVES: Compensation claims are a useful source of information on patient safety research. The purpose of this study was to determine the main causes of surgical compensation claims and their financial impact on the health system.
METHODS: A descriptive observational study with analytical components was carried out on compensation claims brought against the surgical area of the Murcia Health System between 2002 and 2018. We analyzed the frequency, causes, consequences, locations and surgical settings of these claims, the time of judicial procedure, and compensation adjusted to the Consumer Price Index.
RESULTS: There were 1172 compensation claims. "orthopedic surgery and traumatology" (27.4%), "gynecology and obstetrics" (25.7%), and "general surgery" (17.2%) were the main surgical settings involved. The most frequent causes were surgical error (42.4%) and treatment error (30.9%). The main sequelae were musculoskeletal (20.0%), neurological (17.7%), and obstetric (17.7%). The average time from incident to resolution of claims was 6.3 years. A total of 20.1% of these claims were successful, particularly those involving retained surgical foreign bodies (71.4% successful claims; P < 0.001). The total compensation paid was €56,338,247 (an average of €17,207 per claim). Compensation was higher in cases with respiratory sequelae (median, 131,600; P = 0.033), death (75,916; P < 0.001), and neurological (60,000; P = 0.024).
CONCLUSIONS: Compensation claims associated with surgical procedures are made on a variety of grounds. They are drawn-out proceedings, and patients are only successful in 20% of cases.
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Mesh:

Year:  2021        PMID: 35503970      PMCID: PMC9162075          DOI: 10.1097/PTS.0000000000000917

Source DB:  PubMed          Journal:  J Patient Saf        ISSN: 1549-8417            Impact factor:   2.243


Patient safety has become increasingly important in recent decades.[1] It has been the subject of international initiatives promoted by prestigious institutions,[2,3] to the extent that it is now an essential facet for providing quality health care. This additional emphasis is partly due to the highly complex nature of current medical practice, which not only uses increasingly effective technologies but also has greater potential for incidents related to patient safety,[4] which, if they cause harm, are classed as adverse events (AEs).[5] These incidents can lead to disparities between patient expectations and perception of the quality of care received, resulting in patient dissatisfaction with the health system.[6] As a result of this disappointment, patients may decide to file claims for medical negligence.[7] In Spain, when patients file claims against the public health system and seek compensation because their rights have been violated, these are treated as claims for compensation (CCs) and administrative litigation, which may be referred to the courts. If the court finds that the care provided by the administration was below expectations, the medical care delivered will be judged negligent,[8] and the court will find in favor of the plaintiff. In this context, an estimated 50% of compensation claims for inadequate health care involve a failure to follow recommendations published in clinical practice guidelines or unnecessary treatment.[9] In turn, claims for alleged medical negligence are more common in the case of surgery,[10] particularly in disciplines such as “orthopedic surgery and traumatology” (OST)[11] and “gynecology and obstetrics” (GO).[9,12] Furthermore, incidents and their resulting compensation claims can have negative consequences for all parties: for the patients who are directly affected; for health care professionals who are second victims, for possible work anxiety related to the event[13]; and for health institutions as third victims, for the damage to their reputations and possible financial repercussions.[14] As a result, incidents and CCs may be an additional financial cost for the health care system: first, because of the need to treat AEs and their complications, which may entail carrying out of new procedures not initially foreseen[15]; second, because of the phenomenon of defensive medicine, medical practitioners perform unnecessary procedures to avoid exposure to malpractice litigation[16]; and third, the cost of paying compensation if the claims are resolved in favor of patients, which are borne partially or entirely by the health system. For example, it was estimated that the amount value of compensation in Spain was more than €183,000 in obstetrics from 1986 to 2010,[12] €81,000 in OST from 1995 to 2011,[11] €50,000 in vascular surgery from 1986 to 2009,[17] and €19,500 in maxillofacial surgery from 1990 to 2014.[18] All this makes CCs a valuable source of information to study the adequacy of clinical practice and identify of potential patient safety issues,[19] an analysis that has been recommended in several documents in the Spanish government’s Patient Safety Strategy for the National Health System.[20,21] The aim of this study was to identify the main causes of compensation claims in the surgical setting by means of an analysis of predisposing incidents and to study the financial consequences of their compensation on the health system.

METHODOLOGY

Study Design

We conducted an observational descriptive study with analytical components carried out on the CCs against the surgical activities of the Murcia Health System (MHS) between 2002 and 2018. The MHS is the public health service of the Region de Murcia, an autonomous community of Spain that is geographically located in the southeast territory of the country, covering more than 1000 km2 and with a population of around 1.5 million inhabitants. According to the Statistical Platform of the Spanish government, in 2018, the MHS had 4759 functional beds distributed for 12 hospitals and performed 62,429 surgeries and 1,102,645 medical consultants.[22] To this end, we carried out a cross-sectional analysis of the information registered by the MHS as of August 12, 2019. The study population consisted of all CCs made between January 1, 2002, and December 31, 2018, to health care services of the surgical area of the region of Murcia. This included all health care forms related to the surgical activity, such as surgical interventions, consultations, hospital admissions and stays, and preoperative and postoperative care. Nonsurgical and operative claims (damage resulting from poor maintenance, loss, or breakage of personal objects, etc) were excluded because these were not considered to have been directly derived from the care activity. All data were classified, with the exception of the descriptions of the trigger events, which were recorded in free-text format by MHS administrative staff, and amounts of compensation, which were recorded as quantitative variables.

Analysis Plan

Depending on their status at the study date (August 12, 2019), claims were classified as follows: “successful claims” (SCs), if the court found in favor of the plaintiff, awarding compensation; “unsuccessful claims” (UCs), if the court found in favor of the health system, denying compensation; and “undecided” (CPD), if the claim was pending a decision. The causal events were considered patient safety incidents, classified as incidents without damage in the UC and incidents with damage (AEs) in SC, following the taxonomy established by the Conceptual Framework for the International Classification for Patient Safety, developed by the World Health Organization.[5] The causes of the incidents were classified as follows: “difficulty accessing health care,” “surgical errors,” “diagnostic delay,” “treatment delay,” “diagnostic error,” “treatment error,” and “others,” with a single option being allocated to each claim. Simultaneously, based on the text describing the event, all claims were coded by category (“presence”/“absence”) to the following: (1) complementary causal factors, including “defects in informed consent (IC),” “retained surgical foreign bodies,” “incident resulting from a cesarean section,” and “hysterectomy-related incidents; (2) consequences of the incident, including “death,” “reintervention,” “amputation,” “musculoskeletal,” “cardiovascular,” “maxillofacial,” “gynecological,” “obstetric,” “gastrointestinal,” “metabolic,” “respiratory,” “ophthalmology,” “otorhinolaryngology,” “urological,” “neurological,” “hysterectomy,” “infection” (stratified into “nonseptic infection” and “sepsis”), and “dermatological” (stratified into “aesthetic except for burns”); and (3) whether the patient was attended in a second health care center involved in the medical activity described in the claim, according to the management system of this second center, such as “public management” and “private management.” A descriptive analysis was performed for each variable by calculating frequency estimators with their respective 95% confidence intervals (95% CIs). The analysis was performed overall and then stratified according to its status or resolution as SC, UC, or CPD. All compensations awarded were corrected to its equivalent 2019 value according to the variation of the National General Consumer Price Index system, established by the Instituto Nacional de Estadística Español (Spanish National Statistics Institute). Measures of central tendency and dispersion (mean, typical SD, and 95% CI; median, quartile 1 [Q1], and quartile 3 [Q3]) of compensation for SC were calculated and stratified for each available variable. Elapsed time (median, Q1, and Q3) was estimated between the following 3 events: date on which the incident occurred, date of filing the CC, and CC resolution date. To minimize a possible underestimation of these times, because it was not possible to include the values of any claims still unresolved on the study date, only those years for which more than 80% of CCs were resolved were included in this analysis (these were from 2002 to 2013).

Bivariate Analysis

The distribution of CC was analyzed and stratified according to the outcome of the CC (SC, UC, or CPD) and the associated surgical setting (“general surgery” [GS], OST, and GO) and classified according to the following aspects: year of claim against the health system; causes, consequences, and location of the triggering incident; related surgical specialty; and the existence of a second involved health center. Qualitative variables were compared using the χ2 parametric test; and in the case of noncompliance with the application scenario for this parametric test, we used Fisher exact test. We compared the quantitative data (median times and costs) with polyatomic qualitative variables using the nonparametric Kruskal-Wallis test; and we used the Mann-Whitney U test for the comparison with dichotomous variables. We did a simple linear regression between the cost of the compensation of the SC and the year this was imposed on the MHS. Confidence intervals at 95% (α = 0.05) and significant P value for frequency estimates were estimated. Differences with P values less than 0.05 were considered statistically significant. The statistical exploitation of the data was carried out using the Stata v.13 statistical software.[23]

RESULTS

Over the 17 years studied, 1172 compensation claims were brought against the MHS. Of the total number of compensation claims involved, most were associated with surgical incidents (42.4%; n = 497), treatment errors (30.9%; 362), and diagnostic errors (16.3%; 191); OST (27.4%; 321), GO (25.7%; 301), and GS (17.2%; 201) were the most frequent surgical settings (Table 1). The most frequent consequences were musculoskeletal (20.0%; 234), neurological (17.7%; 207), and obstetric (17.2%; 201) (Table 2).
TABLE 1

Breakdown of Compensation Claims Brought Against the MHS Between 2002 and 2018, Depending on the Presence or Absence of Certain Causes and Consequences of the Associated Incident

Total CCCC ResolvedTIR,Claims Allowed
n%n% (Over Total CC)Median (Q1–Q3), yn% (CI 95%) (Above Total CC Resolved), %P (Allowed CC % Difference)
Total117278266.76.3 (4.2–8.2)15720.1 (17.4–23.0)
Year of CC
 2002332.82781.88.9 (3.0–13.8)1244.4 (26.9–63.5)0.001*
 2003373.23491.94.2 (3.0–11.8)617.6 (8.0–34.4)
 2004393.33589.710.8 (6.5–12.0)514.3 (6.0–30.4)
 2005695.96492.88.4 (4.7–10.1)812.5 (6.3–23.2)
 2006484.13981.39.5 (8.5–10.7)37.7 (2.5–21.6)
 2007312.63096.87.4 (6.4–8.8)516.7 (7.0–34.7)
 2008645.55789.17.2 (5.3–8.2)915.8 (8.4–27.8)
 2009816.97288.96.3 (4.9–8.2)1825.0 (16.3–36.3)
 20101099.310192.76.3 (4.9–7.6)1514.9 (9.1–23.2)
 2011887.57686.45.7 (3.8–7.5)2431.6 (22.1–42.9)
 2012201.71785.03.5 (2.7–4.5)635.3 (16.3–60.4)
 2013564.84580.44.2 (2.8–5.6)817.8 (9.1–31.9)
 2014706.04767.11021.3 (11.8–35.4)
 20151059.06461.01929.7 (19.7–42.0)
 201612410.64637.1919.6 (10.4–33.7)
 2017948.01819.100.0 (0.0–18.5)
 20181048.9109.600.0 (0.0–30.8)
Cause of incident
 Surgical error49742.426853.96.3 (4.3–8.2)6423.9 (19.1–29.4)0.433
 Treatment error36230.929681.86.6 (4.0–8.4)5819.6 (15.4–24.5)
 Diagnostic error19116.315380.15.7 (4.6–7.7)2516.3 (11.3–23.1)
 Treatment delay463.92145.75.2 (3.6–5.9)314.3 (4.5–36.9)
 Diagnostic delay423.62150.07.1 (4.7–9.5)523.8 (10.0–46.7)
 Others302.62170.04.0 (2.8–5.7)29.5 (2.3–32.0)
 Denial of care40.3250.06.3 (0.0–0.0)00.0 (0.0–84.2)
Incident location
 Outpatient care (includes consultations)65055.543266.56.4 (4.2–8.2)9321.5 (17.9–25.7)0.520
 Operating room21718.514064.56.2 (4.8–7.6)2517.9 (12.3–25.1)
 Emergency department15713.412277.75.6 (4.0–7.8)2318.9 (12.8–26.8)
 Labor room1079.16964.56.9 (5.0–9.2)1217.4 (10.1–28.3)
 Ward201.7840.06.4 (2.8–9.5)225.0 (5.7–64.9)
 ICU110.919.17.6 (0.0–0.0)1100.0 (2.5–100.0)
 Other/Unknown100.910100.03.3 (3.3–5.3)110.0 (1.2–49.6)
Surgical area
 OST32127.421968.26.0 (4.0–7.9)5123.3 (18.1–29.4)0.702
 GO30125.720969.46.5 (4.3–8.5)3717.7 (13.1–23.5)
 GS20117.213667.76.4 (4.0–7.8)3122.8 (16.5–30.6)
 Ophthalmology706.04158.66.6 (5.3–9.1)819.5 (10.0–34.7)
 Urology574.93764.96.0 (5.4–9.9)924.3 (13.0–40.8)
 Neurosurgery524.43771.26.4 (4.6–8.6)821.6 (11.1–37.9)
 Anesthesiology353.01748.65.1 (1.7–9.3)211.8 (2.8–37.9)
 Cardiovascular surgery332.81545.55.5 (4.8–7.2)213.3 (3.2–41.9)
 Maxillofacial surgery302.62066.75.0 (2.8–6.4)525.0 (10.5–48.5)
 Otorhinolaryngology292.52069.05.7 (2.5–5.9)15.0 (0.7–29.4)
 Plastic surgery191.61368.47.4 (3.6–13.3)17.7 (1.0–41.1)
 Dermatology100.9660.04.7 (2.7–8.6)00.0 (0.0–45.9)
 Vascular surgery70.6571.46.5 (4.1–8.5)120.0 (2.1–74.4)
 Thoracic surgery50.45100.08.3 (0.0–0.0)120.0 (2.1–74.4)
 Pediatric surgery20.22100.00.0 (0.0–0.0)00.0 (0.0–84.2)
Total117278266.76.3 (4.2–8.2)15720.1 (17.4–23.0)

P for percentage difference: using χ tests (if parametric test conditions are met) and Fisher exact test (nonparametric). To minimize a possible underestimation of the compensation claims, because it was not possible to include the values of claims still open at the study date, only those years where more than 80% of claims were concluded were included in this analysis (these were from 2002 to 2013).

*P < 0.05.

ICU, intensive care unit; n, sample; % (CI 95%), percentage (expected interval of such percentage with a confidence of 95%); SUR, surgery, TIR, time from incident to claim resolution.

TABLE 2

Breakdown of Compensation Claims Brought Against the MHS Between 2002 and 2018, Depending on the Presence or Absence of Certain Causes and Consequences of the Associated Incident

PresenceAbsence
Total CCCC ResolvedTIRCC AllowedTotal CCCC ResolvedTIRCC AllowedP (% Presence Versus Absence of CC)
n%n% (Over Total CC)Median (Q1–Q3), yn% (CI 95%) (Above Total CC Resolved), %n%n% (Over Total CC)Median (Q1–Q3), yn% (CI 95%) (Above Total CC Resolved), %
Circumstances causes incident
 Cesarean section605.13558.37.1 (3.1–8.8)514.3 (6.0–30.4)111294.974767.26.3 (4.2–8.1)15220.3 (17.6–23.4)0.382
 Defective informed consent312.62374.27.1 (4.2–8.2)626.1 (12.0–47.8)114197.475966.56.2 (4.2–8.2)15119.9 (17.2–22.9)0.465
 Retained surgical foreign bodies252.12184.05.5 (2.0–8.2)1571.4 (47.8–88.7)114797.8776166.36.3 (4.2–8.2)14218.7 (16.0–21.6)<0.001
 Hysterectomy201.71365.06.8 (5.8–8.8)323.1 (7.2–53.5)115298.376966.86.3 (4.1–8.1)15420.0 (17.3–23.0)0.731
Incident consequences
 Musculoskeletal23420.016972.25.9 (3.8–8.1)3721.9 (16.3–28.8)93880.061365.46.3 (4.3–8.2)12019.6 (16.6–22.9)0.505
 Neurological20717.713263.86.9 (4.9–8.6)3325.0 (18.3–33.1)96582.365067.46.1 (3.9–8.0)12419.1 (16.2–22.3)0.121
 Obstetric20117.213868.76.7 (4.3–9.0)2014.5 (9.5–21.4)97182.864466.36.1 (4.0–8.0)13721.3 (18.3–24.6)0.071
 Death13311.37858.66.5 (4.8–7.5)1823.1 (15.0–33.8)103988.770467.86.2 (4.1–8.2)13919.7 (17.0–22.9)0.486
 Global infections1099.35954.16.6 (5.1–7.5)711.9 (5.7–23.0)106390.772368.06.2 (4.1–8.2)15020.7 (17.9–23.9)0.101
 Nonsepsis infection685.84261.86.4 (5.1–7.7)37.1 (2.3–20.2)110494.274067.06.2 (4.1–8.2)15420.8 (18.0–23.9)0.029*
 Sepsis413.51741.56.6 (4.7–7.1)423.5 (8.8–49.5)113196.576567.66.3 (4.2–8.2)15320.0 (17.3–23.0)0.759
 Gynecological988.47576.55.8 (3.8–7.1)1317.3 (10.3–27.7)107491.670765.86.3 (4.3–8.3)14420.4 (17.6–23.5)0.533
 Reintervention968.26365.66.0 (3.9–7.3)1422.2 (13.6–34.2)107691.871966.86.3 (4.2–8.2)14319.9 (17.1–23.0)0.658
 Gastrointestinal907.76673.36.5 (4.8–7.7)1624.2 (15.3–36.1)108292.371666.26.3 (4.1–8.2)14119.7 (16.9–22.8)0.377
 Ophthalmic796.74658.26.3 (5.2–9.2)919.6 (10.4–33.7)109393.373667.36.3 (4.1–8.1)14820.1 (17.4–23.2)0.929
 Urology716.15171.86.2 (5.3–8.9)815.7 (8.0–28.5)110193.973166.46.3 (4.1–8.1)14920.4 (17.6–23.5)0.418
 Otorhinolaryngology393.32871.85.7 (3.3–6.3)27.1 (1.7–25.0)113396.775466.56.3 (4.2–8.2)15520.6 (17.8–23.6)0.094
 Maxillofacial/mouth383.22257.94.2 (1.1–6.3)418.2 (6.8–40.3)113496.876067.06.3 (4.3–8.2)15320.1 (17.4–23.1)1
 Dermatological373.22464.95.8 (2.7–8.2)520.8 (8.8–41.9)113596.875866.86.3 (4.2–8.2)15220.1 (17.3–23.1)0.925
 Burns151.3960.05.8 (2.7–10.5)444.4 (16.5–76.4)115798.777366.86.3 (4.2–8.2)15319.8 (17.1–22.8)0.085
 Other aesthetic221.91568.25.8 (2.7–8.2)16.7 (0.9–36.9)115098.176766.76.3 (4.2–8.2)15620.3 (17.6–23.3)0.327
 Surgery342.92470.64.4 (3.0–5.5)520.8 (8.8–41.9)113897.175866.66.3 (4.3–8.2)15220.1 (17.3–23.1)0.925
 Respiratory242.01770.87.1 (6.1–7.6)741.2 (20.5–65.5)114898.076566.66.2 (4.1–8.2)15019.6 (16.9–22.6)0.028*
 Amputation191.61578.96.6 (4.8–7.8)426.7 (10.0–54.4)115398.476766.56.3 (4.2–8.2)15319.9 (17.3–22.9)0.517
 Hysterectomy121.0650.05.0 (3.1–6.9)00.0 (0.0–45.9)116099.077666.96.3 (4.2–8.2)15720.2 (17.5–23.2)0.606
 Metabolic40.3250.0-00.0 (0.0–84.2)116899.778066.86.3 (4.2–8.2)15720.1 (17.5–23.1)1
Second center involved
 Public management40334.420550.96.7 (5.3–8.4)4823.4 (18.1–29.7)76965.657775.06.1 (3.8–8.0)10918.9 (15.9–22.3)0.165
 Private management16313.98854.07.4 (5.8–10.7)2528.4 (19.9–38.8)100986.169468.86.1 (4.0–8.0)13219.0 (16.3–22.1)0.038*

P for percentage difference: using χ tests (if parametric test conditions are met) and Fisher exact test (nonparametric). To minimize a possible underestimation of the compensation claims, because it was not possible to include the values of claims still open at the study date, only those years where more than 80% of claims were concluded were included in this analysis (these were from 2002 to 2013).

*P < 0.05.

†P < 0.001.

n, sample; % (CI 95%), percentage (expected interval of such percentage with a confidence of 95%), TIR, time from incident to claim resolution.

Breakdown of Compensation Claims Brought Against the MHS Between 2002 and 2018, Depending on the Presence or Absence of Certain Causes and Consequences of the Associated Incident P for percentage difference: using χ tests (if parametric test conditions are met) and Fisher exact test (nonparametric). To minimize a possible underestimation of the compensation claims, because it was not possible to include the values of claims still open at the study date, only those years where more than 80% of claims were concluded were included in this analysis (these were from 2002 to 2013). *P < 0.05. ICU, intensive care unit; n, sample; % (CI 95%), percentage (expected interval of such percentage with a confidence of 95%); SUR, surgery, TIR, time from incident to claim resolution. Breakdown of Compensation Claims Brought Against the MHS Between 2002 and 2018, Depending on the Presence or Absence of Certain Causes and Consequences of the Associated Incident P for percentage difference: using χ tests (if parametric test conditions are met) and Fisher exact test (nonparametric). To minimize a possible underestimation of the compensation claims, because it was not possible to include the values of claims still open at the study date, only those years where more than 80% of claims were concluded were included in this analysis (these were from 2002 to 2013). *P < 0.05. †P < 0.001. n, sample; % (CI 95%), percentage (expected interval of such percentage with a confidence of 95%), TIR, time from incident to claim resolution. Of the 301 compensation claims involving GO, 66.8% (201) were related to the obstetric setting, 19.9% (60) involved cesarean sections, 5.3% (16) were in response to a suspected defective hysterectomy, and 4.0% (12) were the result of a previous incident. No statistically significant differences were found in the analysis of these compensation claims when compared according to SC and UC. The average time from incident to resolution of compensation claims was 6.3 years (Q1–Q3, 4.2–8.2 years), which was higher for SC than for UC (6.4 years compared with 6.2 years; P = 0.383). The median time from the date of the incident to filing the compensation claim was 1.0 years (0.8–2.1 years). From the filing of the compensation claim to judgment, the average time was 4.3 years (2.4–5.9 years). Of the 782 compensation claims that had been decided at the study date, 20.1% (157) were found in favor of the plaintiff. In contrast, 79.9% (625) were dismissed in favor of the administration. At the study date, none of the compensation claims filed in 2017 or 2018 had been won by the plaintiffs (Table 1). The CC resolved as SC most frequently and statistically significant were those due to “retained surgical foreign bodies” (71.4% compared with 18.7% for other causes; P < 0.001), those related to sequelae of the respiratory system (41.2% compared with 19.6%; P = 0.028), and those with a second involved center of private management (28.4% versus 19%; P = 0.038). In contrast, those described as a “nonseptic infection” were seen to be less frequent than those that did not include this consequence (7.1% versus 20.8%; P = 0.029; Table 2). No statistical significance was obtained in the comparison between SC and UC in the other variables; the “estimation” of CC resulting from errors during surgery was more frequent (23.9%), diagnostic delays (23.8%), treatment errors (19.6%), and diagnostic errors (16.3%; P = 0.433; Table 1). The OST, GO, and GS surgical settings accounted for 70.3% of all the claims filed, and 23.3%, 17.7%, and 22.8% of compensation claims made, respectively, were successful. The percentage of SC brought because of “sepsis” was higher in GS (9.7% compared with 0.0% in OST and GO; P = 0.016), as were those based on “death” (32.3% in GS compared with 13.5% in GO and 0.0% in OST; P < 0.001). The AE leading to compensation claims occurred most frequently in the GS operating room (83.9% compared with 51.0% in OST and 35.1% in GO). In comparison, 33.3% of OST SCs occurred in emergency care and 32.4% in GO in the delivery room (P < 0.001). On the other hand, the average costs of compensation for these SCs were 51,779 for GS, 31,320 for GO, and 12,348 for OST (P = 0.001; Table 3).
TABLE 3

Distribution of the Characteristics of the “Allowed” Resolved Compensation Claims Submitted to the MHS From 2002 to 2016 and Related to the Field of GS, OST, or GO

OSTGOGS
n% (CI 95%)n% (CI 95%)n% (CI 95%) P
Total5137310.315
Cause of incident
 Surgical error1631.4 (19.9–45.7)1540.5 (25.5–57.6)1651.6 (33.6–69.2)0.077
 Treatment error1631.4 (19.9–45.7)1745.9 (30.1–62.6)1135.5 (20.1–54.5)
 Diagnostic error1631.4 (19.9–45.7)410.8 (3.9–26.5)26.5 (1.5–23.9)
 Treatment delay12.0 (0.3–13.4)12.7 (0.3–18.3)13.2 (0.4–21.6)
 Diagnostic delay12.0 (0.3–13.4)00.0 (0.0–9.5)13.2 (0.4–21.6)
 Others12.0 (0.3–13.4)00.0 (0.0–9.5)00.0 (0.0–11.2)
Circumstances causes*
 Cesarean section513.5 (5.6–29.1)
 Retained surgical foreign bodies12.0 (0.3–13.1)513.5 (5.6–29.1)412.9 (4.8–30.3)0.076
 Informed consent23.9 (1.0–14.7)12.7 (0.4–17.5)13.2 (0.4–20.5)1
 Hysterectomy38.1 (2.6–22.8)
Consequence incident*
 Musculoskeletal3772.5 (58.5–83.2)00.0 (0.0–9.5)00.0 (0.0–11.2)<0.001
 Neurological1223.5 (13.7–37.3)821.6 (11.0–38.1)39.7 (3.1–26.7)0.283
 Obstetric00.0 (0.0–7.0)2054.1 (37.8–69.5)00.0 (0.0–11.2)<0.001
 Gastrointestinal00.0 (0.0–7.0)00.0 (0.0–9.5)1651.6 (34.1–68.7)<0.001
 Death00.0 (0.0–7.0)513.5 (5.6–29.1)1032.3 (18.0–50.8)<0.001
 Gynecological00.0 (0.0–7.0)1232.4 (19.2–49.3)00.0 (0.0–11.2)<0.001
 Reintervention35.9 (1.9–17.0)25.4 (1.3–19.7)412.9 (4.8–30.3)0.501
 Infection23.9 (1.0–14.7)00.0 (0.0–9.5)39.7 (3.1–26.7)0.129
  - Sepsis00.0 (0.0–7.0)00.0 (0.0–9.5)39.7 (3.1–26.7)0.016
  - Nonseptic infection23.9 (1.0–14.7)00.0 (0.0–9.5)00.0 (0.0–11.2)0.506
 Surgery12.0 (0.3–13.4)00.0 (0.0–9.5)39.7 (3.1–26.7)0.062
 Amputation47.8 (2.9–19.4)00.0 (0.0–9.5)00.0 (0.0–11.2)0.124
 Dermatological00.0 (0.0–7.0)12.7 (0.4–17.5)26.5 (1.5–23.9)0.108
  - Burns00.0 (0.0–7.0)12.7 (0.4–17.5)13.2 (0.4–21.6)0.324
  - Nonburn aesthetic00.0 (0.0–7.0)00.0 (0.0–9.5)13.2 (0.4–21.6)0.261
 Urological00.0 (0.0–7.0)38.1 (2.6–22.8)00.0 (0.0–11.2)0.045
 Respiratory12.0 (0.3–13.4)25.4 (1.3–19.7)00.0 (0.0–11.2)0.470
 Otorhinolaryngology00.0 (0.0–7.0)00.0 (0.0–9.5)26.5 (1.5–23.9)0.066
 Ophthalmology12.0 (0.3–13.4)00.0 (0.0–9.5)00.0 (0.0–11.2)1
Incident location00.0 (0.0–0.0)00.0 (0.0–0.0)00.0 (0.0–0.0)
 Outpatient care (includes consultations)713.7 (6.5–26.6)718.9 (9.0–35.6)39.7 (2.9–27.4)<0.001
 Labor room00.0 (0.0–7.0)1232.4 (18.9–49.7)00.0 (0.0–11.2)
 Operating room2651.0 (37.1–64.7)1335.1 (21.1–52.4)2683.9 (65.4–93.5)
 ICU00.0 (0.0–7.0)12.7 (0.3–18.3)00.0 (0.0–11.2)
 Emergency department1733.3 (21.5–47.7)38.1 (2.5–23.3)13.2 (0.4–21.6)
 Other/Unknown12.0 (0.3–13.4)00.0 (0.0–9.5)00.0 (0.0–11.2)
 Ward00.0 (0.0–7.0)12.7 (0.3–18.3)13.2 (0.4–21.6)
Second center Involved*00.0 (0.0–0.0)00.0 (0.0–0.0)00.0 (0.0–0.0)
 Public management2039.2 (26.5–53.6)924.3 (12.8–41.4)516.1 (6.5–34.6)0.080
 Private management917.6 (9.2–31.1)38.1 (2.6–22.8)412.9 (4.8–30.3)0.434
Compensation costs
 Median (Q1–Q3), €12,348 (3656–31,141)31,320 (3048–255,000)51,779 (13,281–76,716)0.032
 Mean€28,544.98176,653.8068,686.64
  <150059.8 (4.0–22.0)924.3 (12.8–41.4)39.7 (2.9–27.4)0.001
  1500–50,0003670.6 (56.3–81.7)1129.7 (16.8–47.0)1238.7 (22.7–57.6)
  >50.0001019.6 (10.7–33.3)1745.9 (30.1–62.6)1651.6 (33.6–69.2)
Total510.0 (0.0–0.0)370.0 (0.0–0.0)310.0 (0.0–0.0)

P for percentage difference: using χ tests (if parametric test conditions are met) and Fisher exact test (nonparametric). P for cost difference: using the Kruskal-Wallis test (nonparametric). The amounts of compensation awards were corrected to their equivalent 2019 value according to the variation of the National General Consumer Price Index system.

*Variables that include more than one option. For example, a CC can be logged as an incident that has had more than one type of consequence. Therefore, the sum of the values of these variables may be greater than the total number of claims analyzed.

†P < 0.001.

‡P < 0.05.

ICU, intensive care unit; n, sample; % (CI 95%), percentage (expected interval of such percentage with a confidence of 95%).

Distribution of the Characteristics of the “Allowed” Resolved Compensation Claims Submitted to the MHS From 2002 to 2016 and Related to the Field of GS, OST, or GO P for percentage difference: using χ tests (if parametric test conditions are met) and Fisher exact test (nonparametric). P for cost difference: using the Kruskal-Wallis test (nonparametric). The amounts of compensation awards were corrected to their equivalent 2019 value according to the variation of the National General Consumer Price Index system. *Variables that include more than one option. For example, a CC can be logged as an incident that has had more than one type of consequence. Therefore, the sum of the values of these variables may be greater than the total number of claims analyzed. †P < 0.001. ‡P < 0.05. ICU, intensive care unit; n, sample; % (CI 95%), percentage (expected interval of such percentage with a confidence of 95%). The total cost of compensation associated with SC was €56,338,247 for the entire period studied, which averaged €3,314,015 per year. The median compensation was €17,207 (Q1, €3,708; Q3, 72,030) and the average of €358,842. A total of 49.7% of SC were settled with compensation ranging from €50,000 to €1500, 35.0% costing more than €50,000, and 15.3% with less than €1500. Statistically significant differences were found when comparing the cost of compensation according to the years included in the study (P = 0.017), but not in the linear regression between the 2 variables (P = 0.236). The highest cost of compensation was seen in cardiovascular surgery (median, €70,800), followed by anesthesiology (€60,720) and GS (€51,779) (P = 0.055). No statistically significant differences were found in the comparison of compensation according to the cause or location of the AE (Table 4).
TABLE 4

Costs Associated With Compensation of the Allowed Resolved CCs Filed With the MHS Between 2002 and 2018, Depending on the Year the Case Is Brought and the Cause and Location of the AE, the Surgical Setting, and Surgical Area

TotalCompensation Cost
nMedian (Q1–Q3), €Mean, € P
Total15717,207 (3,708–72,030)358,842
Year of CC
 2002123497 (899–176,119)106,6740.017*
 200361935 (583–13,281)23,681
 20045106,535 (75,117–635,400)375,053
 2005820,786 (8267–500,477)219,125
 2006387,932 (14,693–102,900)68,508
 20075309 (276–1444)3589
 2008917,207 (9642–43,227)77,302
 20091816,281 (3138–61,270)51,679
 20101518,754 (10,460–62,580)39,754
 20112410,412 (3473–41,549)33,415
 2012610,645 (3656–78,740)54,846
 2013827,463 (10,661–50,416)29,870
 20141050,402 (24,223–101,000)107,424
 20151934,627 (10,000–131,600)2,380,398
 2016910,689 (3280–90,900)130,034
Cause of AE
 Surgical error6415,768 (3928–66,350)81,7590.315
 Treatment error5814,137 (1357–78,740)97,059
 Diagnostic error2520,213 (7774–72,030)60,537
 Treatment delay350,308 (40,640–60,163)50,370
 Diagnostic delay562,580 (49,229–97,045)8,758,946
 Others28504 (6314–10,694)8504
Location of AE
 Outpatient care (includes consultations)9314,693 (3239–67,512)77,8200.388
 Operating room2529,007 (3099–72,030)1,790,560
 Emergency department2316,688 (9642–30,480)40,890
 Labor room12118,940 (2318–468,150)239,009
 Ward251,500 (34,627–68,372)51,500
 ICU1423,600423,600
 Other/Unknown118361836
Surgical area
 OST5112,348 (3656–31,141)28,5450.055
 GO3731,320 (3048–255,000)176,654
 GS3151,779 (13,281–76,716)68,687
 Ophthalmology81856 (300–14,455)9478
 Urology952,300 (25,214–67,512)4,887,598
 Neurosurgery814,035 (10,577–75,256)91,953
 Anesthesiology260,720 (24,395–97,045)60,720
 Cardiovascular surgery270,800 (10,000–131,600)70,800
 Maxillofacial surgery518,222 (3099–208,600)226,184
 Otorhinolaryngology185268526
 Plastic surgery110,68910,689
 Vascular surgery137083708
 Thoracic surgery1262262
Total15717,207 (3708–72,030)358,842

P for cost difference: using the Kruskal-Wallis test (nonparametric). The amounts of compensation awards were corrected to their equivalent 2019 value according to the variation of the National General Consumer Price Index system.

*P < 0.05.

ICU, intensive care unit; n, sample; SUR, surgery;* <0.05.

Costs Associated With Compensation of the Allowed Resolved CCs Filed With the MHS Between 2002 and 2018, Depending on the Year the Case Is Brought and the Cause and Location of the AE, the Surgical Setting, and Surgical Area P for cost difference: using the Kruskal-Wallis test (nonparametric). The amounts of compensation awards were corrected to their equivalent 2019 value according to the variation of the National General Consumer Price Index system. *P < 0.05. ICU, intensive care unit; n, sample; SUR, surgery;* <0.05. Median expenditure was higher in SC whose AE had neurological consequences (median of €60,000 compared with €15,768 without that sequelae; P = 0.024), respiratory (€131,600 versus €16,688; P = 0.033), or ended in death (€75,916 versus €13,581; P < 0.001). However, the cost of compensation was lower in the case of musculoskeletal consequences (€10,460 compared with €29,846; P = 0.012) or ophthalmic (€1444 compared with €19,484; P = 0.003) consequences (Table 5).
TABLE 5

Costs Associated With Compensation of the Allowed Resolved CCs Filed With the MHS Between 2002 and 2018, Depending on the Presence or Absence of Certain Causes and Consequences of the Associated Incident

PresenceAbsenceP (Allowed CC Cost Presence Versus absence)
nMedian (Q1–Q3), €Mean, €nMedian (Q1–Q3), €Mean, €
Circumstances causes AE
 Cesarean section516,688 (6436–106,535)70,94015217,714 (3682–70,201)368,3130.830
 Informed consent69786 (1444–12,187)16,00415118,754 (3708–75,117)372,4650.205
 Retained surgical foreign bodies1516,688 (4450–29,212)52,83414218,488 (3656–76,716)391,1670.587
 Hysterectomy324,527 (3048–78,450)35,34215417,126 (3708–72,030)365,1440.959
Consequence AE
 Musculoskeletal3710,460 (3889–20,213)23,17612029,846 (3494–91,170)462,3390.012*
 Neurological3360,000 (10,694–123,850)139,84512415,768 (3260–60,688)417,1240.024*
 Obstetric20143,898 (1375–370,650)251,11413716,688 (3889–60,163)374,5690054
 Death1875,916 (50,308–102,900)86,25513913,581 (3135–60,106)394,141<0.001
 Total infections724,223 (3000–97,045)42,96515017,126 (3708–72,030)373,5830.970
  - Mild infection310,000 (300–24,223)11,50815417,714 (3708–73,010)365,6090.251
  - Sepsis481,116 (34,094–99,022)66,55815317,045 (3708–68,372)366,4840.344
 Gynecological139567 (3048–16,688)17,83614419,562 (3873–75,916)389,6280.069
 Reintervention1421,953 (1775–60,106)34,99614317,207 (3708–73,010)390,5480.669
 Gastrointestinal1646,228 (13,987–74,064)56,32614116,688 (3280–68,372)393,1700.175
 Ophthalmology91444 (442–10,000)858614819,484 (4224–75,916)380,1420.003*
 Urological843,463 (13,494–69,983)5,478,02014916,688 (3708–72,030)83,9870.460
 Otorhinolaryngology294,139 (56,595–131,682)94,13915517,045 (3656–72,030)362,2580.181
 Maxillofacial410,661 (2050–113,411)57,73015317,207 (3858–72,030)366,7150.632
 Dermatological58526 (6436–9,673)15,44015218,488 (3682–74,064)370,1390.215
  - Burns49100 (7481–30,726)19,10415318,222 (3656–73,010)367,7240.525
  - Other aesthetic178378315617,714 (3783–72,520)361,1380.139
 Surgery59111 (3708–68,372)36,68015217,714 (3757–72,520)369,4400.639
 Respiratory7131,600 (31,141–423,600)252,13115016,688 (3656–65,188)363,8220.033*
 Amputation440,742 (16,897–155,900)86,39915317,045 (3656–72,030)365,9650.300
 Hysterectomy015717,207 (3708–72,030)358,842
 Metabolic015717,207 (3708–72,030)358,842
Second center involved
 Public management4817,056 (5172–60,717)76,45910917,207 (3135–73,010)483,1950.912
 Private management2527,729 (10,460–87,932)1,838,13613216,688 (3137–70,201)78,6730.166

P for cost difference: using the Mann-Whitney U test (nonparametric). The amounts of compensation awards were corrected to their equivalent 2019 value according to the variation of the National General Consumer Price Index system.

*P < 0.05.

†P < 0.001.

N, sample.

Costs Associated With Compensation of the Allowed Resolved CCs Filed With the MHS Between 2002 and 2018, Depending on the Presence or Absence of Certain Causes and Consequences of the Associated Incident P for cost difference: using the Mann-Whitney U test (nonparametric). The amounts of compensation awards were corrected to their equivalent 2019 value according to the variation of the National General Consumer Price Index system. *P < 0.05. †P < 0.001. N, sample.

DISCUSSION

The secondary use of CC records allowed us to analyze the frequency and characteristics of possible patient safety problems, with these sources of information, which although not specifically designed for that purpose, being proven useful in this field in other previous studies.[18,24] Malpractice during a health intervention was the main ground for bringing CC (42.4%). However, a great variation in this result has been observed in other studies carried out in Spain in maxillofacial surgery (65.1%),[18] vascular surgery (31.85%),[17] and overall (22.2%).[25] On the other hand, patient death was responsible for 11.3% of the CC, being this a lower percentage than that found globally in the United States (26%)[26] and in neurosurgery in Spain (22%).[27] In contrast, the percentage of CC filed as a result of a burn (1.3%) was very similar to that obtained in the United States (1.9%).[28] Some of these defects may be due to a failure to follow the recommendations of clinical practice guidelines or prescription of unjustified treatments.[9] Concerning the surgical settings, this study is consistent with 2 other studies carried out in Spain, placing the OST and GO areas as those in which a greater number of complaints were filed.[10,12] In OST, a slight variation of the results was observed when compared with another study carried out by Cardoso-Cita et al[11] over a similar period of duration (17 years, from 1995 to 2011), because this study found higher percentages of musculoskeletal disorders (72.5% compared with 43.6%), but fewer neurological events (23.5% versus 34.0%), infections (3.9% versus 11.9%), and deaths (0.0% versus 6.6%). In GO, compared with the study by Gómez-Durán et al[12] on CC filed in this field with the Catalonian Health System between 1986 and 2010, a slightly higher percentage of CC was obtained by the obstetric area (66.8% compared with 61.9%) and cesarean sections (18.9% compared with 12.8%). On the other hand, when compared with Norway,[9] fewer SCs were obtained associated with a surgical procedure (40.5% compared with 67.6%), a diagnostic error (10.8% compared with 17.0%), or a diagnostic delay (0.0% compared with 22.4%). It should be noted, however, that only gynecology-associated CCs were included in this study, when more than half of CC and GO belonged to the obstetric setting. On the other hand, the percentage of CC related to defective IC (2,6%) was lower than those derived from OST (14.9%)[11] and neurosurgery (16.7%)[27] interventions in Spain, but similar to that found in maxillofacial surgery services (3.8%).[18] Similarly, it was also lower than that of endoscopic processes in the United States (42%),[29] and hip arthroplasties (13.3%)[30] and overall (6%)[31] in the Netherlands. However, the percentage of these CC decided in favor of the individual was consistent with that obtained by the Dutch study (26.1% compared with 25%).[31] The role of the IC is spatially important in the surgical field because, in Australia, 57% of IC-related CCs were brought against surgeons and 71% claimed insufficient information on risks and complications arising from the surgical intervention.[32] Another cause of the inadequacy of IC could be its inappropriate form of administration because, in Spain, up to 58.1% of health professionals in the surgical field could have a misunderstanding of this practice, especially among those with more than 16 years of work experience.[33] The percentage of CC filed for retained surgical foreign bodies decided in favor of the individual (71.4%) agrees with that obtained in another study carried out in Spain in the field of GO (71.7%).[12] The causes of this type of incident have been studied in the United States, where it was associated with urgent operations, unexpected changes in surgical techniques, and high body mass index,[34] with surgical sponges being the most frequently forgotten surgical material, before clamps and needles.[34-36] To try to prevent these incidents, several prestigious institutions, such as the American College of Surgeons[37] or the Joint Commission International Center for Patient Safety,[38] have disseminated specific improvement strategies, including surgical material counts and measures to improve communication among health care professionals during surgical procedures. Regarding the financial impact of the CC studied, the general costs obtained (median, €17,207; average, €358,842) echo those found in the United States between 1991 and 2005 (median, $111,749; average, $274,887)[39] and between 1992 and 2014 (average, $329,565).[40] In the stratified analyses, when comparing the surgical settings with other approximations performed in Spain, the compensation obtained in this study was higher in maxillofacial surgery (average, €226,184 versus €19,639)[18] and lower in OST (average, €28,545 versus €81,767)[11] and GO (average, €31,320 compared with €96,426 in obstetrics and €28,776 in gynecology).[12] On the other hand, in neurosurgery, we found an average (€14,035) lower than other studies in Spain (66.7% of the compensation claims >€60,000)[27] and in the United Kingdom (GBP 203,158).[41] However, the comparison of these values presents several difficulties because not all studies use the same dispersion measures (medians or means; when the compensation tends to adopt a nonnormal distribution) and does not apply corrections to final costs according to temporary economic variations (such as the Consumer Price Index), in addition to the fact that the amounts may be influenced by the different health management systems (public administration versus private management). In addition, the cost of compensation can be assumed partially or totally by the different health systems, depending on whether they have a damage liability insurance policy and the conditions of the policy. This could result in similar compensation figures eventually affecting the various health services unevenly. The median time between the incident and the resolution of the compensation claim (6.3 years) is in an intermediate position between the one found in the United States (4 years)[26] and that obtained throughout Spain (7.2) and Massachusetts (United States; 7.0) between 2002 and 2012.[25] Although this study only analyzed this aspect in years with more than 80% of resolved compensation claims, the different values available in the scientific literature may be slightly understated, as they cannot include the claim resolution times still open at the study date. In any case, the long duration observed to process and resolve claims could cause additional stress to the patient[42] and health care professionals (as a second victim),[13] as well as a delay in the implementation of possible improvements in patient safety if only safety incidents associated with closed CC were analyzed. On the other hand, the low proportion of SCs decided for the plaintiff, of the total claims filed (20.1%), is a frequent finding in both national and international studies.[9,10,12,18] This result is consistent with another study carried out in Mexico with claims from 1996 to 2008, where there were possible indications of malpractice in only 20.8% of records,[43] whereas in neurosurgery in Spain, the percentage of “complete malpractice” was slightly higher at 28.3%.[27] This phenomenon could be explained by high patient expectations of success, a concept contemplated by the Spanish jurisprudence in a ruling that, according to the Lex Artis ad hoc of the health care sector, “the responsibility of the Health System is the logical consequence that characterises the public health service as a provider of means, and in no case a guarantor of results.”[44] This dimension does not interfere with the nature of the IC, which must provide information to the patient about possible risks, therapeutic alternatives, and other circumstances inherent in each intervention, but does not guarantee a specific clinical benefit.[45] Besides, according to this jurisprudence, it could be considered that, in those SCs, there was a lack of provision of resources or improper use of them, producing inappropriateness of health care, because of a medical practice underuse, overuse, or misuse.[46,47] In turn, the existence of claims has been linked to defensive medicine, which interferes with the usual clinical practice of health professionals and the efficiency of the health system. In Spain, up to 8% of claims of a health area were brought based on a specialist’s refusal to grant a patient’s request,[48] whereas in a 2017 survey, surgeons and anesthetists assigned a score of 7.5 (on a scale of 1 to 10) to impact of defensive medicine on the overuse of the health system, 20% of them acknowledging that they had recommended unnecessary medical procedures for fear of being sued.[33] However, this percentage is lower than that obtained in Italy (33%)[49] or the United States (84.7%),[50] where 39% of professionals would also avoid performing specific medical procedures on high-risk patients because of fear of legal consequences, and defensive medicine was related to lack of confidence in health insurance.[51] However, despite this influence on real clinical practice, there is no evidence linking higher health spending with a reduction in medical negligence claims.[16]

Strengths and Weaknesses of the Study

The CCs analyzed pertain to a single region of Spain, with its own health system and sociodemographic idiosyncrasies, which may limit the external validity of the results obtained. Data for CCs were logged by administrative personnel, not by health professionals, so the correct coding of some difficult-to-interpret values could not be ensured. That said, the classifications derived from the description of the CC were carried out and reviewed in detail by the research team. The sample comprised all CCs brought against the MHS for 17 years, which avoided possible selection bias, ensuring sufficient statistical power, and allowed us to analyze the existence of temporal variations. Similarly, adjusting the cost of compensation according to the Consumer Price Index and selecting the years with more than 80% of closed CCs for the analysis of resolution times improved the internal and external validity of the study.

CONCLUSIONS

The main grounds for bringing CC were incidents resulting from surgical operations and treatment errors, with surgical settings related to OST, GO, and GS being the most frequently affected. Musculoskeletal, neurological, and obstetric sequelae are the most frequent, followed by deaths and infections. Only 1 in 5 CCs are decided in favor of the plaintiff, with those involving “retained surgical foreign bodies” having the highest likelihood of success. The median time from incident to resolution of the CC was 6.3 years, similar to that obtained in other national and international studies. Compensation costs due to health care delivered were high, averaging out at more than €3 million per year. This cost is higher in claims because of neurological, respiratory, or death consequences, and lower in musculoskeletal or ophthalmic consequences. As a result, incidents and their associated CC have major consequences on patients, professionals, and health systems and cause high economic costs that are borne by the public health system, either directly or through possible purchases of liability insurance.
  31 in total

1.  Analysis of obstetrics and gynecology professional liability claims in Catalonia, Spain (1986-2010).

Authors:  Esperanza L Gómez-Durán; Joan Antoni Mulà-Rosías; Josep Maria Lailla-Vicens; Josep Benet-Travé; Josep Arimany-Manso
Journal:  J Forensic Leg Med       Date:  2013-02-12       Impact factor: 1.614

Review 2.  The urgent need to improve health care quality. Institute of Medicine National Roundtable on Health Care Quality.

Authors:  M R Chassin; R W Galvin
Journal:  JAMA       Date:  1998-09-16       Impact factor: 56.272

3.  A nine-year review of medicolegal claims in neurosurgery.

Authors:  S Mukherjee; C Pringle; M Crocker
Journal:  Ann R Coll Surg Engl       Date:  2014-05       Impact factor: 1.891

4.  Rates and Characteristics of Paid Malpractice Claims Among US Physicians by Specialty, 1992-2014.

Authors:  Adam C Schaffer; Anupam B Jena; Seth A Seabury; Harnam Singh; Venkat Chalasani; Allen Kachalia
Journal:  JAMA Intern Med       Date:  2017-05-01       Impact factor: 21.873

5.  [A survey carried out among Italian physicians regarding non-required clinical examinations, treatments and procedures in the current clinical practice: results and considerations.]

Authors:  Sandra Vernero; Guido Giustetto
Journal:  Recenti Prog Med       Date:  2017 Jul-Aug

Review 6.  Informed consent-It's more than a signature on a piece of paper.

Authors:  Christine S Cocanour
Journal:  Am J Surg       Date:  2017-09-20       Impact factor: 2.565

7.  [Analysis of judicial sentences against neurosurgeons resolved in second court of justice in Spain in the period from 1995 to 2007].

Authors:  A Santiago-Sáez; B Perea-Pérez; E Labajo-González; M E Albarrán-Juan; J A Barcia
Journal:  Neurocirugia (Astur)       Date:  2010-02       Impact factor: 0.553

8.  Operating room fires: a closed claims analysis.

Authors:  Sonya P Mehta; Sanjay M Bhananker; Karen L Posner; Karen B Domino
Journal:  Anesthesiology       Date:  2013-05       Impact factor: 7.892

Review 9.  A comparison of active adverse event surveillance systems worldwide.

Authors:  Yu-Lin Huang; Jinhee Moon; Jodi B Segal
Journal:  Drug Saf       Date:  2014-08       Impact factor: 5.606

10.  Eleven-year descriptive analysis of closed court verdicts on medical errors in Spain and Massachusetts.

Authors:  Priscila Giraldo; Luke Sato; Jose M Martínez-Sánchez; Mercè Comas; Kathy Dwyer; Maria Sala; Xavier Castells
Journal:  BMJ Open       Date:  2016-08-30       Impact factor: 2.692

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