Rate of venous thromboembolism among surgical patients in Australian hospitals: a multicentre retrospective cohort study.

OBJECTIVES: Despite the burden of venous thromboembolism (VTE) among surgical patients on health systems in Australia, data on VTE incidence and its variation within Australia are lacking. We aim to explore VTE and subsequent mortality rates, trends and variations across Australian acute public hospitals.
SETTING: A large retrospective cohort study using all elective surgical patients in 82 acute public hospitals during 2002-2009 in New South Wales, Australia. PARTICIPANTS: Patients underwent elective surgery within 2 days of admission, aged between 18 and 90 years, and who were not transferred to another acute care facility; 4 362 624 patients were included. OUTCOME MEASURES: VTE incidents were identified by secondary diagnostic codes. Poisson mixed models were used to derive adjusted incidence rates and rate ratios (IRR).
RESULTS: 2/1000 patients developed postoperative VTE. VTE increased by 30% (IRR=1.30, CI 1.19 to 1.42) over the study period. Differences in the VTE rates, trends between hospital peer groups and between hospitals with the highest and those with the lowest rates were significant (between-hospital variation). Smaller hospitals, accommodated in two peer groups, had the lowest overall VTE rates (IRR=0.56:0.33 to 0.95; IRR=0.37:0.23 to 0.61) and exhibited a greater increase (64% and 237% vs 19%) overtime and greater between-hospital variations compared to larger hospitals (IRR=8.64:6.23 to 11.98; IRR=8.92:5.49 to 14.49 vs IRR=3.70:3.32 to 4.12). Mortality among patients with postoperative VTE was 8% and remained stable overtime. No differences in post-VTE death rates and trends were seen between hospital groups; however, larger hospitals exhibited less between-hospital variations (IRR=1.78:1.30 to 2.44) compared to small hospitals (IRR>23). Hospitals performed differently in prevention versus treatment of postoperative VTE.
CONCLUSIONS: VTE incidence is increasing and there is large variation between-hospital and within-hospital peer groups suggesting a varied compliance with VTE preventative strategies and the potential for targeted interventions and quality improvement opportunities. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

This study benefited from a large cohort design within the largest health jurisdiction in Australia.

Employment of standardised and broadly-applied venous thromboembolism (VTE) measures facilitated local and international comparisons and benchmarking.

Demonstration of trends and variations in VTE measures reflected effectiveness of systematic interventions and revealed opportunities for further improvement and actions at local and regional levels.

This study was limited to VTE incidence among elective surgical patients. Analysis of all patient populations may provide addition insight.

The obtained rates may have underestimated due to possible coding discrepancies.

Introduction

Venous thromboembolism (VTE), comprised of deep-vein thrombosis (DVT) and pulmonary embolism (PE), can cause long-term comorbidities or death1 2 and incur a significant financial burden on healthcare systems.3 4 It accounts for nearly 10% of all deaths in USA5 6 and Australian hospitals,7 8 and is among the top five most common causes of hospital-related deaths in both countries.3 9 However, VTE is also the most common preventable cause of hospital deaths.10–13 A significant decrease in VTE incidents has been reported where efficacious and cost-effective treatments (ie, pharmacological and mechanical prophylaxis) were used for medical as well as surgical patients.1 12 14–19 Accordingly, several evidence-based VTE prevention and treatment guidelines were developed1 9 20 and related measures were adopted among quality of care indices for accreditation, quality improvement and benchmarking purposes.21–23

The Agency for Healthcare Research and Quality (AHRQ) listed postoperative VTE complication (VTE incidence following surgery) and subsequent death as a component of failure-to-rescue (FTR) among patient safety indicators (PSI #12 and PSI #4-2, respectively), which are routinely being monitored and publically reported.23 24 Reports showed that postoperative VTE incidence rates have nearly halved in USA hospitals in recent years24 25 and post-VTE mortality rates declined by a third within a decade since the mid-90s.26 These rate decreases may be, in part, due to the implementation of postoperative VTE prevention protocols,27 however, substantial variation in postoperative VTE incidence rates was also evident among US hospitals.25 Although patients’ case mix and surgery types may play a role in such differences,6 28 29 the variation of VTE incidence among the same type of hospitals overtime and within the group may reflect the success of quality improvement interventions and demonstrate the potential for further development.30 31

Few Australian studies have reported VTE incidence,3 8 32 and the measures of VTE used in these studies varied making comparison difficult. Consequently, we employed the internationally-recognised AHRQ measures for postoperative VTE, and subsequent mortality, to explore the trend of the incidence rates and their variations among admitted surgical patients in acute public hospitals across New South Wales (NSW), Australia (2002–2009).

Methods

Data source and study population

NSW is the largest health jurisdiction in Australia with approximately 497 healthcare facilities and a population of over seven million people. We used records from the NSW Admitted Patient Data Collection (APDC) database, which includes all admitted patient services provided by NSW public and private healthcare facilities. The APDC includes information on patient demographics, medical conditions and procedures, hospital characteristics, and separations (discharges, transfers and deaths) from all public and private hospitals (as well as day procedure centres) in NSW. The medical records for each episode of care in the APDC were assigned with codes based on the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) 4th edition.33 Of admissions at 497 healthcare facilities across NSW between 1 January 2002 to 31 December 2009, we included all 82 NSW acute public hospitals (9 221 128 admissions; 57.4%) in our study. Two children's hospitals and one other hospital (data was unavailable) were excluded. We restricted our study to only elective surgical patients and applied the same AHRQ inclusion criteria23 for patients who had elective surgery within 2 days of admission, those criteria being: patients should be aged between 18 and 90 years (inclusive), and should not have been transferred to another acute care facility (4 362 624 episodes (47.3%)).

Measures and covariates

Of surgical patients who met AHRQ inclusion criteria (patients at risk), those who developed VTE were identified by secondary diagnostic codes (ICD-10-AM) translated from the AHRQ definition ICD, Ninth Revision, Clinical Modification (ICD-9-CM) by Victorian Government Health Information.34 The outcome measure was termed ‘postoperative VTE’, proposed by the Australian version of PSIs (AusPSI),35 instead of the ‘perioperative VTE’ term suggested by AHRQ.23 We used the ‘postoperative VTE’ term since employment of inclusion criteria (undergoing surgery within 2 days of admission and secondary diagnosis of VTE) minimised likelihood of VTE presence on admission or VTE occurance prior to surgery. In combination with discharge status, patients’ post-VTE outcomes were categorised as survival or death. VTE and related death rates were presented as incidences per 1000 admissions within each year between 2002 and 2009, inclusively.

Two sets of patient-related and hospital-related covariates were considered. Patient demographic variables included age, gender, country of birth, marital status, patient socioeconomic status and principle diagnostic disease groups (the 10 most common) within the study population. We utilised a postcode-level advantage and disadvantage index of Socio-Economic Indices for Areas (SEIFA) with the lower values indicating more disadvantaged areas.36 SEIFA scores were categorised into four classes (1st quartile (Q1)=most disadvantaged areas and 4th quartile (Q4)=most advantaged areas). The disease groups were identified using principle diagnostic codes (ICD-10-AM) at admissions through the methodology developed by Quan et al.37 Using relevant procedure codes from ICD-10-AM (see online supplementary appendix 1), we defined six major surgical procedures including coronary-artery bypass graft, abdominal aortic aneurysm (AAA) repair, total hip replacement, total knee replacement, cholecystectomy and other surgical procedures.

Hospital covariates included the local health district (metropolitan, rural and regional NSW) and peer group (A1: principal referral group, usually teaching hospitals; A3: ungrouped acute; B: major metropolitan and non-metropolitan; C1: district group 1; and, C2: district group 2). Hospital peer groups contained similar type and sized hospitals, ranging from those treating more than 25 000 acute case-mix weighted separations per annum in principal referral groups through to treating 2000+ (but less than 5000) acute case-mix weighted separations per annum in district group 2.38

Statistical analysis

We employed Poisson mixed models to evaluate adjusted incidence rates and rate ratios for study outcomes after including all patients and hospital-related characteristics. A random intercept term was utilised to incorporate any clustering effect at hospital-level. To investigate the temporal behaviour of the outcomes, calendar years were entered into the model as indicator variables, with 2002 as the reference year. A model with the year as a continuous variable was also examined for linear trends. We derived hospital peer group and surgery type trends using interaction effects (year and hospital peer group; year and surgery type) in separate models. Adjusted incidence rates for specific years were derived by multiplying yearly-adjusted risk ratios to the crude risks observed in the reference year.

We initially examined the Elixhauser and the Charlson Index comorbidities based on the ICD-10 coding scheme,37 however, we did not include either of them in the models given an unexpected drop in the comorbidity index among our study population in recent years (see online supplementary appendix 2) and also recent reports that these indices may introduce misleading results possibly due to geographical variations and biases in the coding.39–41 To study the variation of outcomes across hospitals within each hospital group, hospital-specific random intercept components were extracted from Poisson mixed models constructed for each hospital group, then ranked and categorised into five classes at 20% incremental quintiles. To obtain adjusted differences between those with the highest and those with the lowest VTE incidence, the adjusted classes were entered into a Poisson model including patient characteristics covariates. We used Pearson correlation to assess the association of hospital performances between VTE and post-VTE deaths, based on the hospital-specific random intercepts. All analyses were performed in R package V.3.0.042 and Stata V.11.0.43

Result

Table 1 summarised the study population by outcomes across hospital and patient characteristics and related statistics. Of the 4 223 317 (45.8% of all admissions with no missing information) elective surgical admissions during 2002–2009 with a median length of stay of 1 day (the Q1 and the third quartiles (Q3) equal to 1 day), 8451 patients developed either DVT or PE after surgery, resulting in an incidence rate of 2/1000 surgical patients with a median length of stay of 11 days (Q1=6 and Q3=21 days). Among them, 673 (8%) died prior to discharge with a median length of stay of 11 days (Q1=4 and Q3=22 days); 79.6/1000 patients with postoperative VTE. Compared to women, men tended to have a lower risk of postoperative VTE (incidence rate ratio (IRR)=0.91); however, they were more likely to die (IRR=1.19) following a VTE. Older patients were exposed to higher risks of VTE and death after surgery. Married patients and those who were born in Europe (except the UK), Asia and North Africa experienced a lower risk of postoperative VTE compared to their counterparts but a similar risk of post-VTE death.

Table 1

Study population, IR and adjusted IRR of surgical patients who developed VTE and died, stratified by patient and hospital characteristics

Characteristics	Surgical patients n (%)	VTE			VTE-associated death
		Frequency (%)	IR	IRR (95% CI)	Frequency (%)	IR	IRR (95% CI)
Sex
Female	2 280 384 (54.00)	4626 (54.74)	2.03	1.00	330 (49.03)	71.34	1.00
Male	1 942 933 (46.00)	3825 (45.26)	1.97	0.90 (0.86 to 0.94)*	343 (50.97)	89.67	1.19 (1.02 to 1.40)†
Age (years)
≥18 and <35	738 382 (17.48)	487 (5.76)	0.66	0.21 (0.19 to 0.23)*	11 (1.63)	22.59	0.20 (0.11 to 0.37)*
≥35 and <55	1 013 921 (24.01)	1308 (15.48)	1.29	0.42 (0.40 to 0.45)*	82 (12.18)	62.69	0.58 (0.45 to 0.74)*
≥55 and <75	1 595 024 (37.77)	3538 (41.86)	2.22	0.66 (0.63 to 0.70)*	290 (43.09)	81.97	0.85 (0.72 to 1.01)
≥75 and <90	875 990 (20.74)	3118 (36.90)	3.56	1.00	290 (43.09)	93.01	1.00
Marital status
Married	2 548 508 (60.34)	4667 (55.22)	1.83	1.00	381 (56.61)	81.64	1.00
Single	1 674 809 (39.66)	3784 (44.78)	2.26	1.16 (1.11 to 1.21)*	292 (43.39)	77.17	1.01 (0.86 to 1.18)
Country of birth
Australia and New Zealand	2 839 135 (67.23)	5858 (69.32)	2.06	1.00	479 (71.17)	81.77	1.00
UK, US and Canada	239 088 (5.66)	645 (7.63)	2.70	1.06 (0.97 to 1.15)	53 (7.88)	82.17	0.95 (0.72 to 1.27)
Non-English Europe	447 239 (10.59)	1046 (12.38)	2.34	0.74 (0.69 to 0.80)*	80 (11.89)	76.48	0.91 (0.71 to 1.16)
North Africa	130 938 (3.10)	139 (1.64)	1.06	0.47 (0.40 to 0.56)*	9 (1.34)	64.75	0.87 (0.45 to 1.70)
Asia	179 725 (4.26)	193 (2.28)	1.07	0.45 (0.39 to 0.52)*	16 (2.38)	82.90	1.09 (0.66 to 1.80)
Others	387 192 (9.17)	570 (6.74)	1.47	0.58 (0.53 to 0.64)*	36 (5.35)	63.16	0.95 (0.67 to 1.35)
Major surgical procedure
AAA repair	1744 (0.04)	26 (0.31)	14.91	1.00	6 (0.89)	230.77	1.00
CABG	10 529 (0.25)	52 (0.62)	4.94	0.37 (0.23 to 0.60)*	7 (1.04)	134.62	0.69 (0.23 to 2.10)
Cholecystectomy	50 145 (1.19)	42 (0.50)	0.84	0.09 (0.05 to 0.15)*	6 (0.89)	142.86	0.70 (0.22 to 2.22)
Total hip replacement	18 771 (0.44)	207 (2.45)	11.03	0.74 (0.49 to 1.11)	4 (0.59)	19.32	0.12 (0.03 to 0.44)*
Total knee replacement	29 428 (0.70)	798 (9.44)	27.12	1.76 (1.19 to 2.61)*	3 (0.45)	3.76	0.03 (0.01 to 0.11)*
Other	4 112 700 (97.38)	7326 (86.69)	1.78	0.17 (0.11 to 0.24)*	647 (96.14)	88.32	0.52 (0.23 to 1.19)
Major principle diagnostic diseases‡
Cardiac arrhythmias	25 953 (0.61)	75 (0.89)	2.89
Chronic pulmonary disease	11 558 (0.27)	69 (0.82)	5.97
Coagulopathy	3908 (0.09)	37 (0.44)	9.47
Congestive heart failure	6765 (0.16)	85 (1.01)	12.56
Diabetes with chronic complication	33 541 (0.79)	79 (0.93)	2.36	–	2 (0.30)	26.67
Malignancy including lymphoma and leukaemia	150 962 (3.57)	1070 (12.66)	7.09	–	6 (0.89)	86.96
Metastatic solid tumour	19 699 (0.47)	291 (3.44)	14.77	–	2 (0.30)	54.05	–
Peripheral vascular disease	15 993 (0.38)	141 (1.67)	8.82	–	17 (2.53)	200.00	–
Renal failure	1 385 753 (32.81)	42 (0.50)	0.03	–	11 (1.63)	139.24	–
Rheumatoid arthritis/collagen vascular disease	10 748 (0.25)	40 (0.47)	3.72	–	182 (27.04)	170.09	–
Year				–	67 (9.96)	230.24	–
2002	431 184 (10.21)	763 (9.03)	1.77	–	10 (1.49)	70.92	–
2003	438 058 (10.37)	780 (9.23)	1.78	–	1 (0.15)	23.81	–
2004	462 451 (10.95)	878 (10.39)	1.90	–	1 (0.15)	25.00	–
2005	508 097 (12.03)	1038 (12.28)	2.04	1.17 (1.07 to 1.29)*	75 (11.14)	72.25	–
2006	550 688 (13.04)	1062 (12.57)	1.93	1.11 (1.01 to 1.22)†	103 (15.30)	96.99	–
2007	591 973 (14.02)	1223 (14.47)	2.07	1.22 (1.12 to 1.34)*	87 (12.93)	71.14	0.72 (0.52 to 1.01)
2008	607 631 (14.39)	1313 (15.54)	2.16	1.27 (1.16 to 1.38)*	112 (16.64)	85.30	0.90 (0.66 to 1.23)
2009	633 235 (14.99)	1394 (16.50)	2.20	1.30 (1.19 to 1.42)*	113 (16.79)	81.06	0.83 (0.60 to 1.13)
Year-linear trend	–	–	–	1.04 (1.03 to 1.05)*	–	–	0.98 (0.95 to 1.02)
Quartiles of SEIFA
1st quartile (most disadvantaged)	1 089 833 (25.81)	2308 (27.31)	2.12	1.00	187 (27.79)	81.02	1.00
2nd quartile	1 084 727 (25.68)	1981 (23.44)	1.83	0.88 (0.82 to 0.94)*	169 (25.11)	85.31	0.96 (0.78 to 1.20)
3rd quartile	1 074 283 (25.44)	2088 (24.71)	1.94	0.76 (0.72 to 0.81)*	175 (26.00)	83.81	1.04 (0.84 to 1.30)
4th quartile (most advantaged)	974 474 (23.07)	2074 (24.54)	2.13	0.70 (0.65 to 0.75)*	142 (21.10)	68.47	0.98 (0.77 to 1.26)
Peer hospital groups
Principal referral	2 269 392 (53.73)	5141 (60.83)	2.27	1.00	381 (56.61)	74.11	1.00
Ungrouped acute	133 465 (3.16)	380 (4.50)	2.85	1.20 (0.54 to 2.66)	43 (6.39)	113.16	0.94 (0.37 to 2.39)
Major metrometropolitan and non-metropolitan	1 140 036 (26.99)	2125 (25.14)	1.86	0.84 (0.54 to 1.31)	183 (27.19)	86.12	0.96 (0.60 to 1.55)
District group 1	346 910 (8.21)	484 (5.73)	1.40	0.56 (0.33 to 0.95)†	42 (6.24)	86.78	0.99 (0.54 to 1.83)
District group 2	333 514 (7.90)	321 (3.80)	0.96	0.37 (0.23 to 0.61)*	24 (3.57)	74.77	0.74 (0.38 to 1.44)
Local health district
Metropolitan	2 720 690 (64.42)	5882 (69.60)	2.16	1.00	430 (63.89)	73.10	1.00
Rural and Regional NSW	1 502 627 (35.58)	2569 (30.40)	1.71	0.74 (0.52 to 1.05)	243 (36.11)	94.59	1.26 (0.82 to 1.92)
Total	4 223 317	8451	2.00	–	673	79.64	–

139 307 (3.2%) cases were excluded due to missing or unknown items.

IR are crude and reported per 1000 patients.

IRR and related CI were obtained using a Poisson mixed model.

*Significant at 1%.

†Significant at 5%.

‡No RR is reported since this characteristic has not been included in the Poisson mixed model.

AAA repair, abdominal aortic aneurysm repair; CABG, coronary artery bypass graft; CI, confidence interval; IR, Incidence rates; IRR, incidence rate ratios; NSW, New South Wales; SEIFA, Socio-Economic Indices for Areas; VTE, venous thromboembolism.

Patients admitted with malignancy and congestive heart failure had the highest VTE and hospital mortality rates. Patients who underwent total knee replacement, AAA repair and total hip replacement surgeries had higher risk of VTE, respectively; however, post-VTE mortality was lower among orthopaedic surgical patients compared to other procedures. Higher socioeconomic status (quartiles of SEIFA) of patients was associated with a lower risk of VTE. There was no difference in mortality for patients residing in advantaged and disadvantaged areas. Patients from principal referral hospitals were more likely to acquire VTE in comparison to the patients from district hospitals (IRR= 0.56 and 0.37 for group 1 and 2 hospitals respectively). No differences in outcomes were observed between metropolitan and non-metropolitan hospitals.

Postoperative VTE incidence rates significantly increased over the study period by 30%, from 1.77/1000 patients in 2002 to 2.30 in 2009 (figure 1). Despite some fluctuation, all hospital peer groups exhibited similar increasing trends in postoperative VTE incidence over the study period after adjustment for patient demographics (figure 2), ranging from 19% (2.58 vs 2.17) in principal referral hospitals to 237% (1.21 vs 0.36) in district group 2. Surgery-specific VTE rates for the five procedures exhibited high fluctuations and insignificant trends, whereas the other surgery group showed a steady increasing trend of 38% (3.01 vs 2.18) over the study period (figure 3). Post-VTE mortality fluctuated between 68 and 97 cases per 1000 patients over the study period with no significant change after adjusting for confounders overall (figure 1) and at hospital peer group level (figure 2). Mortality tended to be stable across hospital peer groups as between-group variation of mortality reduced over the study period. No surgery-specific trend analysis was conducted due to small number of post-DVT deaths per annum.

Figure 1

Adjusted trends of postoperative venous thromboembolism (VTE) and post-VTE death incidence rates (per 1000 elective surgical patients and 1000 patients with postoperative VTE, respectively) over the study period. Rates were estimated by multiplying incidence rate ratio (obtained from the Poisson mix model) and crude risk at the reference year (2002).

Figure 2

Hospital peer group-specific adjusted trends of postoperative venous thromboembolism (VTE) (left panel) and post-VTE death (right panel) incidence rates (per 1000 elective surgical patients and 1000 patients with postoperative VTE, respectively) over the study period. Rates were estimated by multiplying incidence rate ratio (obtained from the Poisson mix model including an interaction term for ‘hospital peer group×year’) and crude risk of the reference hospital group (principal referral) at the reference year (2002).

Figure 3

Surgical procedure-specific adjusted trends of postoperative venous thromboembolism incidence rates (per 1000 elective surgical patients) over the study period. Rates were estimated by multiplying incidence rate ratio (obtained from the Poisson mix model including an interaction term for ‘surgery type×year’) and crude risk of the reference surgery group (abdominal aortic aneurysm repair) at the reference year (2002).

The incidence rate ratios between those hospitals with the lowest, and those with the highest rate, was larger in VTE related mortality than in VTE and varied across hospital peer group (table 2). For VTE, the difference in rate is less than fourfold in the principal referral and major peer groups (include large hospitals) but at least eightfold in district peer groups (include small hospitals). Similarly, the difference in rate is larger in district group 1 and 2 (IRR=23 and 38) compared to principal referral (IRR=1.7) and major metropolitan/non-metropolitan hospitals (IRR=15) for VTE related deaths. The close to significant negative correlation (−0.45, p value=0.057) for principal referral hospitals implied that hospitals with the highest postoperative VTE rate tended to have a lower rate of subsequent death. In contrast, within district group 2 (0.41), hospitals with higher VTE rates tended to also have the highest post-VTE death rates. There were no such associations within other peer groups.

Table 2

Incidence rates (IR), adjusted incidence rate ratios (IRR) and association of outcomes between the best and worst performers (top and bottom 20% quintiles) within hospital peer groups

Hospital peer group	Hospitaln	VTE			Post-VTE death			Correlation coefficient (95% CI)
		Lowest (IR)	Highest (IR)	IRR (95% CI)	Lowest (IR)	Highest (IR)	IRR (95% CI)
Principal referral	17	1.24	4.00	3.70 (3.32 to 4.12)*	43.58	131.12	1.78 (1.30 to 2.44)*	−0.45 (−0.79 to 0.01)
Major metropolitan and non-metropolitan	22	1.00	2.99	3.85 (3.33 to 4.46)*	16.80	162.30	15.48 (6.45 to 37.12)*	0.15 (−0.28 to 0.54)
District group 1	13	0.42	3.71	8.64 (6.23 to 11.98)*	13.88	242.71	38.02 (10.25 to 140.94)*	−0.37 (−0.76 to 0.22)
District group 2	30	0.22	2.15	8.92 (5.49 to 14.49)*	16.66	104.97	23.26 (2.94 to 183.50)*	0.41 (0.05 to 0.68)†

IR are crude and reported per 1000 patients.

IRR and related CI were obtained using a Poisson model and adjusted for patient characteristics. Those hospitals with the lowest rate were set as the reference level.

Ungrouped acute group was removed from analysis due to small number of hospitals within this group.

*Significant at 1%.

†Significant at 5%.

CI, confidence interval; IR, Incidence rates; IRR, incidence rate ratios; VTE, venous thromboembolism.

Discussion

In this large cohort study of elective surgical patients from all NSW acute public hospitals over an 8-year period, we found the incidence of VTE to be 2 of 1000 elective surgical admissions, and VTE-associated mortality to be 8%. The adjusted incidence of VTE increased significantly over the study period (30%), with no change in mortality. There were significant differences in incidence of VTE between hospital peer groups and between hospitals with the lowest and those with the highest rates. Principal referral hospitals exhibited a higher overall incidence, but lower intragroup variation compared to other peer groups. Principal referral hospitals with a higher incidence of VTE also tended to have a lower VTE-related mortality.

The incidence of postoperative VTE in NSW hospitals was less than half that of US hospitals within a similar period (4.5 or more per 1000 patients in 2010 and prior),25 44 but with a similar VTE-associated mortality (83 vs 79/1000 patients). 25 Based on our findings, VTE incidence and associated mortality contributes to approximately 15% and 8% of overall FTR-related incidence and mortality (13.8 and 140 per 1000 patients, respectively).45 46 Despite the fact that our study and the US study used the identical measure defined by AHRQ,23 the discrepancies and coding practices between the USA (ICD-9-CM) and Australia (ICD-10-AM) may, in part, have contributed to the difference. It was shown that accuracy of VTE coding can be improved by the adoption of extended codes developed in the revised ICD-9-CM. 47

In a recent Organization for Economic and Co-Operation and Development (OECD) report, Australia-wide incidence were 0.97 and 1.26/1000 patients in 2009 and 2012 respectively, placing Australia among three nations (Australia, Slovenia and the USA) with the highest incidence of approximately 1 per a 1000 surgical patients or more within the last decade.48 Our observed rates for NSW hospitals was nearly double that of the OCED provided Australian rates, possibly due to the fact that we studied only elective surgical patients from acute public hospitals. Such cross-nations’ reports provide a platform for health service comparisons and the study of longitudinal variations. However, internal and external comparability of OCED results may be affected by the heterogeneity and biases of the different nations’ coding systems.

Despite continued poor compliance with VTE prevention guidelines and VTE preventative measures,49–52 postoperative VTE incidence in US hospitals almost halved between 2007 and 2011.24 44 In Australia, given the overt gap between evidence and practice of VTE prevention protocols,53 54 the National Institute of Clinical Studies (NICS) launched a VTE prevention programme in 85 public and private hospitals across Australia between 2005 and 2008, which resulted in increased awareness of and adherence with VTE prevention guidelines.2 55 However, we found an increasing trend in NSW postoperative VTE incidence rates within 2002–2009, with an approximate 4% annual increase and total increase of 30%, mostly contributed by the higher incidence in the smaller hospital peer groups (237%) compared to the large teaching hospital group (19%). The reason for this increase is unclear.

Our finding of a higher incidence of VTE and VTE associated mortality with increasing age is similar to that observed by others.29 56–58 Ageing was previously accepted as a major contributing factor to the increasing trends in VTE rates for admitted patients in Australian hospitals.3 However, we have taken into account patient characteristics including age as well as surgery type and demonstrated an adjusted increasing trend for surgical patients, despite the observed decreasing trends in proportions of AAA repair and orthopaedic surgical procedures (see online supplementary appendix 2) known with high postoperative VTE risks (table 1).1 Notably, the steadily increasing VTE incidences among patients who underwent other surgical procedures mainly contributed to the observed overall trend (figure 3). More research is required to examine the contributing factors for such a difference among different surgical procedures. In particular, comorbidity-specific analysis at hospital level is encouraged to minimise potential biases reported elsewhere.39–41

Although other studies suggest gender may not be a significant risk factor for VTE,28 29 59 we found men were less likely to develop VTE complications, but more likely to subsequently die. We did not separately explore DVT and PE incidence and associated deaths between genders; but our higher mortality risk for men can be explained by the estimated higher odds of PE (vs DVT, which has a lower risk of death29 59 for men compared to women (1.87 vs 1.02 respectively) in Australian hospitals during our study period.3

Variation in the application of VTE prevention guidelines and other quality initiatives may have contributed to the differences in outcomes among the hospitals in our study. Smaller district 1 and 2 peer group hospitals had a significantly lower VTE incidence rate compared to larger hospitals in NSW. This was in contrast with other studies, which showed that larger hospitals have a lower mortality following major procedures, such as orthopaedic surgeries60 61 and postoperative complications such as VTE.62 A possible explanation for this discrepancy is that principal referral hospitals undertook higher risk patients and surgical complexity than the smaller district hospitals. Geographical variations in coding,39–41 underreporting of VTE due to mis-coding to a more general cardiovascular item3 63 and high diagnosis likelihood of high risk but asymptomatic postoperative patients64 may also have contributed to elevated VTE rates in major hospitals. We did not observe any differences between NSW hospital peer groups for VTE mortality, neither other studies did for FTR rates.45 However, we did observe greater variation in VTE mortality within peer groups comprising smaller sized hospitals in comparison to larger principal referral hospitals.

Our study showed a significant performance difference between hospitals and within each hospital peer group of the highest and the lowest VTE incidence and associated mortality. Similarly, the association between the two outcomes also varied across groups. Smaller hospitals (district groups 1 and 2) exhibited larger differences in both outcomes, suggesting a greater variability of patient care practice and outcomes among this group of hospitals and the greater potential for intervention aimed at VTE prevention and treatment for this group. We also noted a positive association between VTE incidence and VTE mortality among smaller size hospital groups. In contrast, the fact that larger NSW hospitals tended to have a higher VTE incidence but lower VTE associated mortality suggests that there may be a volume–outcome relationship or a greater adherence to evidence-based prevention and treatment guidelines, which may explain this better VTE-associated mortality. Interestingly, if the higher incidence of VTE alone was used as a measure of failure-to-prevent, these hospitals may be considered to have performed poorly overall, despite the better VTE-associated mortality. Conversely, if the higher incidence rates of VTE were largely due to patient selection and case-mix, these hospitals could be considered as better quality hospitals having a lower FTR rate with better treatment outcomes. Further investigation into the factors that may explain these differences and the ideal reporting measures is warranted.

Our study raised several important policy implications. First, despite the fact that national and state agencies had developed evidence-based guidelines, such as the Clinical Excellence Commission of NSW ‘Medication Safety’,65 in which VTE prevention practices were promoted and related incidents evaluated, the increasing incidence of VTE and unchanged VTE mortality question the effectiveness of current national policy and local programmes in reducing VTE incidence and mortality. Second, the development of a systematic local programme based on relevant international experience in successfully reducing VTE rate and its related mortality needs urgent policy action. Third, the large variability of VTE rate and its related mortality between and within different hospital peer groups suggests that there is room for improvement in the prevention and also in the treatment of VTE and that VTE still remains a preventable complication. Lastly, as an important indicator of the quality of care, the level of standardised reporting of VTE in Australia should be explored.

The strengths of our study are that it is the first population-based observational study across all acute public hospitals within one (ie, NSW) health region. We used a standardised measure and presented incidence rates of VTE and VTE-associated mortality as well, thus enabling differentiation between the two outcome measures and allowing for international comparisons. Limitations of our study include that we specifically studied only elective surgical patients according to AHRQ definitions; whereas the analyses of all patient populations may provide addition insight. Future research needs to provide more evidence on the whole inpatient population. We also may have under-reported our findings because of possible coding discrepancies. Nevertheless, this study reinforced the importance of developing measures for combating postoperative VTE, and the continual monitoring and public reporting of VTE incidence and mortality.2 66

Conclusion

The significant increase in VTE incidence among surgical patients over an 8-year period and persisting level of VTE-associated mortality highlights the need for urgent policy interventions. The significant variation for both outcomes between, and within, different hospital peer groups suggests room for improvement in the prevention and also treatment of VTE. Routine measurement and disclosure of VTE incidence as well as associated mortality can provide policymakers, clinicians and researchers with opportunities to monitor and adjust for performance.