Sage Journals: Discover world-class research

Abstract

Although surgical site infection (SSI) risk after hand trauma surgery is around 5%, the severity of these infections is not known. The risk of superficial SSI in a cohort study was evaluated using NHS UK-wide primary care records (n = 641,223), using the Clinical Practice Research Datalink GOLD database. Within this cohort, a subcohort of those who had undergone a hand surgery operation for trauma were identified (n = 3,088). Antibiotic and analgesic prescriptions were analysed at 30 and 90 days postoperatively. By 30 days, 6.2% had been prescribed antibiotics appropriate for SSI, rising to 14.4% (CI [13.2 to 15.8]) by 90 days. By 30 days, 10% had been prescribed opioid analgaesia and by 90 days this had increased to 13.8%. Antibiotics prescriptions for SSI in primary care are substantially higher than the NICE estimate for SSI overall and the expected risk in hand trauma. The implications of this study are that many patients are receiving treatment for SSI in primary care and may be in more pain, for longer, than we expect. Further exploration of this is warranted and future research in hand trauma surgery should capture adverse events occurring outside of the hospital environment.

Level of evidence: II

Keywords

Antibiotics hand surgery infection trauma

Introduction

Injuries of the hand and wrist, known collectively as ‘hand trauma’, are common and are increasing year on year (Manley et al., 2019). Data from NHS England revealed that in 2015/2016 there were 4.6 million patients who presented to the Emergency Department with hand trauma. Over 900,000, or one-in-five patients with hand trauma, required specialist care and 240,000 required surgery (Warwick, 2018). The majority of injuries occur in the young, working population (24–64 years old) and men are disproportionately affected (57%). The resulting disability causes loss of earnings, especially for those people who rely on their hands for work (Dias et al., 2020; Dias and Garcia-Elias, 2006).

The overall risk of surgical site infection (SSI) following hand trauma surgery is likely to be approximately 5.0–10%, based on a recent meta-analysis (Wormald et al., 2023). The type or severity of the SSIs that are counted within this figure remains unknown. The Centers for Disease Control and Prevention (CDC) define superficial SSI as occurring within 30 days (or 90 days if a surgical implant is used) and involving only skin and subcutaneous tissue of the incision (CDC, 2023). Many SSIs in the hand and wrist may be superficial, without systemic morbidity, and therefore patients may prefer to present to their General Practitioner rather than return to hospital (Warwick, 2018). Unlike in other musculoskeletal surgery, such as hip fracture or knee arthroplasty, the proportion of patients presenting to primary care is likely to be relatively high owing to the ‘day-case’ nature of most hand surgery (Warwick, 2018). This holds true for prolonged postoperative pain, although the risk of this is relatively unclear in hand trauma. This study aimed to explore whether there is a contingency of hand trauma surgery patients who solely present to primary care with SSI and require antibiotic treatment. The study secondarily evaluates postoperative analgesia requirements and wound care appointment data, further assessing the burden of hand trauma surgery on primary care services.

Methods

Study design

An observational study design to investigate the treatment of postoperative infection following surgery for hand trauma within primary care. Data derived from the Clinical Research Practice Datalink (CPRD) GOLD, mapped to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) was used, comprising deidentified primary care data of 21 million patients. CPRD GOLD is representative of the UK population in terms of age, sex, ethnicity and BMI. The study is reported in accordance with the STROBE checklist (STROBE, 2023). All analyses were conducted within the ATLAS platform (OHDSI, 2024).

Hand trauma cohort

A Read Code list was developed that generated a cohort of patients who had sustained injuries to the hand and/or wrist (Supplementary Material 1a). Patients were eligible for entry into the ‘hand trauma cohort’ if they had a relevant condition Read code within their medical record that indicated an injury to the hand or wrist. The hand trauma cohort includes patients who have sustained open and/or closed hand/wrist fractures, dislocations and subluxations, all soft-tissue injuries to the hand and wrist, including 465 specific Read codes for nerve, tendon, vessel and ligament injuries.

Hand trauma surgery cohort

A second Read code list was then developed, consisting of procedural Read codes that relate to operations for a hand/wrist injury, including soft tissue closure, reconstruction of tendons and nerves, removal of foreign bodies and fracture and joint manipulation and fixation (Supplementary Material 1b). Patients were eligible to enter the ‘hand trauma surgery’ cohort if they underwent a relevant operative procedure within 10 days of injury. This cohort was generated by applying this criterion to the existing ‘hand trauma cohort’, so that only those who definitely underwent surgery could be analysed. This surgical cohort was defined using 159 Read codes, of which 67 pertained to soft tissue reconstruction (30 tendon repair, 14 soft tissue reconstruction, 8 amputation/terminalization and 15 other) and 93 pertained to fracture fixation (44 open reductions, 33 closed reductions and 16 other). Prior to analysis, cohort diagnostics were run to ensure that both code lists were comprehensive and included all relevant codes pertaining to hand trauma surgery. Cohort diagnostics was then used to identify potentially missing codes via in-built machine learning algorithms (OHDSI, 2024; Ostropolets et al., 2023; PHOEBE 2.0, 2022) Missing codes were reviewed and included if relevant. For both cohorts, characterization analyses were performed to determine population demographics (age and sex), injury types and prevalence, and the types and frequency of surgical procedures.

Outcome measurements

Prescription data were extracted for up to 30 days and up to 90 days to ascertain treatment with antibiotics in these time periods following surgery (Supplementary Material 2). Prescription of antibiotics in the specified time periods is a valid proxy for postoperative infection based on the existing literature (Daryapeyma et al., 2016; Hartmann et al., 2004; Kruse et al., 2006; Stridh Ekman et al., 2010; Whitby et al., 2002). This method was further validated for this study by refining the type of antibiotic prescribed compared with pre-injury prescription rates and only analysing those potentially relevant to superficial wound infection. As these are solely oral antibiotic prescriptions, one can infer that the type of SSI that is being treated is superficial SSI. Deep or joint space SSIs would require admission for intravenous antibiotics and/or surgery, whereas superficial SSI would be managed with oral antibiotics alone in the majority of cases (CDC, 2023). The number of incident prescriptions was used as a surrogate for new cases of superficial SSI by 30 days and by 90 days. First, all antibiotic prescriptions were quantified. Prescription data for the most commonly used antibiotics in skin and soft-tissue infections were then extracted. Flucloxacillin (floxacillin) prescription alone was then further analysed, with both pre- and postoperative prescription rates checked to determine clinically meaningful change in its prescription. Flucloxacillin is commonly prescribed in primary care for superficial SSI, as Staphylococcus aureus is the most common pathogenic organism (McDonald et al., 2011; Oxford Health NHS Foundation Trust Formulary, 2024). The prescription data are cumulative, such that the ‘by 90 days’ data will also include the ‘by 30 days’ data. Prescription data prior to either hand injury (hand trauma cohort) or hand trauma surgery (hand trauma surgery cohort) were used to verify increased postoperative prescription rates.

Postoperative pain

Prescription of analgesia following surgery and follow-up data ostensibly pertaining to wound care were secondarily explored. Prescription data for analgesics were similarly extracted for up to 30 days and up to 90 days following hand trauma surgery. Analgesics were chosen based on the most commonly prescribed agents in clinical practice for day case surgery, combining non-steroidal anti-inflammatory drugs (NSAIDs) and opioid agents. The NSAIDs were ibuprofen, diclofenac and naproxen and the opioids were codeine, dihydrocodeine and tramadol.

Utilization of primary care

A third objective was to assess the most common reasons why hand trauma patients presented to primary care services following surgery. The codes used to classify and describe primary care appointments at 30 and 90 days following injury were explored for the hand trauma cohort and following surgery for the hand trauma cohort surgery.

Data source

CPRD GOLD is a data source containing national electronic healthcare data, is based in primary care and holds anonymized electronic health record data from collaborating general practices, with all patients registered at those practices included in the dataset, unless they have opted out (CPRD, 2022). CPRD GOLD July 2020 was used for this study, with the final analysis in January 2023 (CPRD GOLD, 2023).

Risk of bias

CPRD GOLD is validated and quality checked before data are released for analysis. This reduces missingness and biases that may arise as a result. National coverage is not complete as only certain practices may contribute data, subject to process and quality control (Herrett et al., 2015). However, the data contained within CPRD GOLD are representative of the UK population. Misclassification of injuries and procedures is a potential area for bias, as Read codes may be attributed to patient records by those not familiar with the speciality area. This was mitigated through cohort diagnostics, allowing clinical validation of the included definitions. A snapshot of metadata for the included population was reviewed and potential missing Read codes were suggested/added.

Sample size and statistical analyses

This is a descriptive study and therefore a formal sample size calculation was not necessary. Descriptive analyses are used to summarize demographic, treatment and prescription data. Sex was analysed as proportion of males and females (%) with 95% confidence intervals (CIs). Age was presented as a mean and standard deviation (SD). Prescription data for antibiotics, NSAIDs and opioids were analysed as a proportion (%) of those that had been prescribed each drug out of the total cohorts: hand trauma and hand trauma surgery. All 95% CIs were calculated using binomial exact calculation using Microsoft Excel version 16.71 (Stephanie, 2018).

Results

The CPRD GOLD July 2020 source population includes 19,018,786 patient records, of which 3,185,210 are currently registered as of January 2023 when this analysis was performed. This represents 4.8% of the UK population.

Hand trauma cohort

This section presents data on all patients who sustained hand trauma, regardless of whether they underwent surgery. Using the ‘hand trauma’ Read code list, records from 641,223 patients were extracted to form this cohort (Supplementary Material 1a, Figure 1). The cohort included a diverse mix of individuals, with a higher proportion of males compared with females (Figure 2). The cohort’s average age was within a range typically associated with general health, and most individuals had few or no comorbidities, with the majority of conditions affecting less than 1% of the population.

Figure 1.

Flow chart of study attrition.

Figure 2.

Demographic data for Clinical Practice Research Datalink (CPRD) cohorts.

Surgical site infection

A wide range of antibiotics were prescribed within this cohort. Notably, the antibiotics were not categorized specifically for SSI, as some patients did not have surgery. Within the first 30 days, 6.2% of patients had been prescribed antibiotics, and this number increased to 15.5% over a 90 day period. When focusing on antibiotics typically used for skin and wound infections, 5.2% of patients received prescriptions within 30 days, with the number continuing to rise to 13.9% by 90 days. Flucloxacillin was used in 1.2% of patients within the 30 day period and continued to be prescribed in 2.4% of patients within the 90 day window. Similarly, amoxicillin was also prescribed more frequently over time (Table 1).

Table 1.

Prescription of antibiotics, non-steroidal anti-inflammatory drugs and opioids at 30 and 90 Days post-injury (n = 641,223)

Medication	30 Days (n, % [95% CI])	90 Days (n, % [95% CI])
Antibiotics
Flucloxacillin	7,429 (1.2%)	15,094 (2.4%)
Amoxicillin	11,392 (1.8%)	33,160 (5.2%)
Clavulanate	3,061 (0.5%)	6,668 (1.0%)
Fusidate	2,795 (0.4%)	8,012 (1.2%)
Erythromycin	3,723 (0.6%)	10,008 (1.6%)
Clarithromycin	1,327 (0.2%)	3,706 (0.6%)
Clindamycin	461 (0.1%)	1,401 (0.2%)
Doxycycline	1,120 (0.2%)	3,630 (0.6%)
Ciprofloxacin	805 (0.1%)	2,289 (0.4%)
Chloramphenicol	1,683 (0.3%)	5,333 (0.8%)
Total antibiotics	33,796 (5.2% [5.2 to 5.3])	89,301 (13.9% [13.8 to 14.0])
NSAIDs
Ibuprofen	6,473 (1.0%)	15,920 (2.5%)
Diclofenac	4,840 (0.8%)	12,093 (1.9%)
Naproxen	2,317 (0.4%)	5,912 (0.9%)
Total NSAIDs	13,630 (2.1% [2.1 to 2.2])	33,925 (5.3% [5.2 to 5.4])
Opioids
Codeine	10,154 (1.6%)	20,981 (3.3%)
Dihydrocodeine	3,752 (0.6%)	7,864 (1.2%)
Tramadol	2,015 (0.3%)	4,415 (0.7%)
Total opioids	15,921 (2.5% [2.4 to 2.5])	33,260 (5.2% [5.1 to 5.2])

Note: Percentages represent the proportion of patients prescribed each medication category within 30 and 90 days post-injury. Confidence intervals (CIs) are provided in brackets.

Postoperative pain management

The use of NSAIDs was rare within the cohort, with prescription rates remaining consistently low and showing no significant increase following hand and wrist injuries. In contrast, opioid analgesics were more commonly prescribed, with a 2.5% of patients receiving them within the 30 day period post-injury, and this figure increased to 5.2% within the 90 day period.

Utilization of primary care

During the first 30 days following their injury, patients most commonly sought follow-up care for wound dressings (2.8%), clinical reviews (2.7%) and suture removal (1.2%).

Hand trauma surgery cohort

A more specific subset of 3088 patients was identified from the larger cohort, all of whom had undergone surgery for hand or wrist injuries (Supplementary Material 1b, Figure 1). This surgical group had a higher proportion of males and was also generally healthy, with a lower incidence of comorbidities compared to the larger hand trauma group.

Surgical site infection

All patients in this subgroup had undergone surgery, meaning antibiotic prescriptions were more directly related to the treatment of SSI. Antibiotic use was relatively common, particularly for wound and skin infections. Antibiotics specifically used for wound and skin infections were prescribed for 6.2% of patients by 30 days and 14.5% by 90 days. Flucloxacillin was frequently prescribed within the 30 day and 90 day periods (2.2 and 4.5% respectively), with a significant increase from pre-injury prescription rates (χ² = 11.5, p < 0.005). Similarly, amoxicillin use also rose significantly post-surgery (Table 2).

Table 2.

Antibiotic, non-steroidal anti-inflammatory drug and opioid prescription following hand trauma surgery (n = 3088)

Medication	30 Days (n, % [95% CI])	90 Days (n, % [95% CI])
Antibiotics
Flucloxacillin	68 (2.2%)	140 (4.5%)
Amoxicillin	46 (1.5%)	127 (4.1%)
Clavulanate	26 (0.8%)	41 (1.3%)
Fusidate	10 (0.3%)	31 (1.0%)
Erythromycin	12 (0.4%)	31 (1.0%)
Clarithromycin	10 (0.3%)	26 (0.8%)
Clindamycin	5 (0.2%)	8 (0.3%)
Doxycycline	5 (0.2%)	15 (0.5%)
Ciprofloxacin	4 (0.1%)	10 (0.3%)
Chloramphenicol	6 (0.2%)	18 (0.6%)
Total antibiotics	192 (6.2% [5.4 to 7.1])	447 (14.4% [13.2 to 15.8])
NSAIDs
Ibuprofen	59 (1.9%)	110 (3.6%)
Diclofenac	54 (1.7%)	81 (2.6%)
Naproxen	17 (0.6%)	46 (1.5%)
Total NSAIDs	130 (4.2% [3.5 to 5.0])	237 (7.7% [6.8 to 8.7])
Opioids
Codeine	186 (6.0%)	255 (8.3%)
Dihydrocodeine	68 (2.2%)	89 (2.9%)
Tramadol	54 (1.7%)	81 (2.6%)
total opioids	308 (10.0% [8.9–11.1])	425 (13.8% [12.6–15.0])

Note: Percentages represent the proportion of patients prescribed each medication category within 30 and 90 days post-surgery. Confidence intervals (CIs) are provided in brackets.

Postoperative pain management

Non-steroidal anti-inflammatory drug prescriptions increased in the surgical cohort compared to the general hand trauma group, with a notable rise in prescriptions following surgery. Opioid prescriptions were also more frequent, with 10.0% of post-surgical patients receiving them within 30 days. By 90 days, this increased to 13.8%.

Utilization of primary care

Patients in the surgical cohort required more follow-up care compared with the broader hand trauma group. Within 30 days of surgery, 4.4% of patients required wound dressing changes, suture removal was needed in 3.4% and removal of K-wires was required in 1.7% within 30 days. These all reduced by 90 days, other than K-wire removal, which increased 2.4%.

Discussion

This is a national study of 3088 patients who have undergone surgery for hand and wrist trauma and have subsequently attended primary care with a postoperative complication. Using the prescription of clinically appropriate antibiotics within 30 and 90 days after surgery as a proxy for SSI, the risk of SSI by 30 days is 6.2%. This rises further to 14.4% by 90 days. Opioid prescriptions were higher than anticipated, raising new concerns regarding chronic pain and opioid dependence. Less than 5% of the surgery cohort attended primary care for wound dressings or suture removal. Data from hand trauma studies during and since the COVID-19 pandemic demonstrate that most postoperative hand trauma wound reviews and suture removals are performed in hospital, in some part explaining the low utilization seen here (Shaw et al., 2023; Shafi et al., 2024).

The overall risk of SSI following hand trauma surgery is approximately 5%, based on a meta-analysis of 315,618 patients who had undergone surgery for hand and wrist trauma (Wormald et al., 2023). The risk of SSI was higher in prospective RCTs (10.1%) (Wormald et al., 2023). This meta-analysis did not contain any studies based in primary care. This present study adds granularity through analysis of primary care data to produce risk estimates for superficial SSI following hand trauma surgery. The SSI risks generated through this CPRD GOLD analysis sit on the upper end of the spectrum of SSI risk and are far more common than the National Institute for Health and Care Excellence (NICE) estimate of 2–5% (NICE, 2019). The increase in antibiotic prescription at 90 days is unexpected and may represent a true increase in SSIs or an inappropriate/over-prescription of antibiotics. By 90 days, a surgical wound will have formed a scar and will be maturing, becoming more erythematous as angiogenesis takes place (Grubbs and Manna, 2025). This could be misinterpreted as nascent infection, which could result in overdiagnosis of superficial SSI.

Studies of musculoskeletal trauma within CPRD GOLD generally appear to have higher SSI incidences compared with those in other studies of national databases. This is the case for both orthopaedic trauma (3.5%, clavicular fixation, 11.7% tibial fixation) and elective arthroplasty (4.1% total knee replacement) (Galvain et al., 2020; Wolf et al., 2022; Wallace et al., 2014). In contrast, the figures from the National Joint Registry, a secondary care dataset, of total knee replacement outcomes found that postoperative infection was the reason for revision surgery in 412 out of 341,749 operations, equating to a deep infection risk of 0.1% (Liddle et al., 2014). This demonstrates that secondary care datasets detect the most serious SSI events but may underestimate the overall SSI risk for a population or procedure. Alternatively, the higher treatment rates seen in CPRD may reflect overprescribing of antibiotics, either for prophylaxis or over-treatment of non-infections. Overprescribing is known to be an issue in primary care and is a major concern regarding antibiotic resistance (Gulliford et al., 2020; Krockow et al., 2022; Llor and Bjerrum, 2014). Importantly, there is scant published evidence that General Practitioners diagnose and treat SSI incorrectly. Indeed, there is data suggesting that patients’ self-diagnosis of SSI can be at least as accurate as a surgeon’s diagnosis (Pham et al., 2016; Whitby et al., 2002).

In the existing literature, the majority of hand trauma SSIs that present to the hospital are managed successfully with oral antibiotics alone. In Pavan et al.’s (2018) retrospective series of 638 hand trauma patients, 19 (3%) developed SSI, 14 requiring oral antibiotics alone. In Davies et al.’s (2020) series of 983 hand trauma patients, 41 developed SSI (4.2%), with 33 receiving oral antibiotics alone. In Baldwin et al.’s (2021) series of 556 hand trauma patients, 20 (3.6%) developed SSI and 8 had antibiotics only. If the majority of hand trauma SSIs are treated with oral antibiotics only, then it is logical that many will exclusively be managed in primary care. This study confirms this theory, demonstrating high rates of antibiotic prescription in the community following hand trauma surgery.

It is known that codeine and tramadol are deleterious to health and well-being, with the latter being particularly harmful in certain populations (Xie et al., 2021). A high prevalence of opioid analgesic prescriptions has been found in the surgical cohort in this study. In the USA, overprescription of opioid analgesia has resulted in a health crisis, and prescription of opioids after minor surgical procedures has contributed to this (Stoicea et al., 2019). There is evidence that a proportion of patients continue to use opioid analgesia over 90 days after simple elective hand surgical procedures in the USA (Johnson et al., 2016). There is further data from the USA exploring reasons for prolonged opioid use following non-hand musculoskeletal surgery (Helmerhorst et al., 2014). As such, the hand surgery communities in the USA and Canada are attempting to reduce opioid use by generating evidence for alternative analgesic strategies (Lalonde et al., 2022). It is concerning that these new data show a similar pattern for hand trauma patients in the UK.

There are limitations in this study. This analysis provides new results indicating that a significant proportion of patients will present to their General Practitioner requiring antibiotic treatment that is consistent with soft tissue infection following surgery for hand trauma. The logical conclusion is that these patients are presenting with SSI. However, there may be patients who have co-morbid skin infections. These results should therefore be interpreted as a signal, with antibiotic prescription as a surrogate for SSI, rather than a conclusive finding. There will also be an unknown proportion of patients who are prescribed antibiotics for a wound that is inflamed rather than infected, i.e. suspected SSI.

Assessment of SSI following hand trauma surgery should take into account its manifestation in both primary and secondary care. The primary care physician is faced with a higher than previously anticipated burden following hand trauma surgery, in terms of both postoperative infection and pain. Hand surgeons should consider these findings in the context of developing postoperative pathways that alleviate the clinical burden from non-specialists who may be ill-equipped to navigate the postoperative course of hand trauma patients.

Supplemental Material

sj-pdf-1-jhs-10.1177_17531934251338120 - Supplemental material for The burden of hand trauma surgery on primary care in the United Kingdom: a nation-wide analysis of antibiotic and opioid prescriptions

Supplemental material, sj-pdf-1-jhs-10.1177_17531934251338120 for The burden of hand trauma surgery on primary care in the United Kingdom: a nation-wide analysis of antibiotic and opioid prescriptions by Justin CR Wormald, Jennifer CE Lane, Marti Català, Antonella Delmestri, Jonathan Cook, Jeremy N Rodrigues, Matthew L Costa and Daniel Prieto-Alhambra in Journal of Hand Surgery (European Volume)

Footnotes

Declaration of conflicting interests

The author(s) declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

This study has been delivered through the National Institute for Health and Care Research (NIHR) Oxford Biomedical Research Centre. This study was funded by the NIHR as part of a NIHR Doctoral Research Fellowship, NIHR301793, awarded to Justin Wormald. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR, NHS or the UK Department of Health and Social Care. This work was additionally funded through the Royal College of Surgeons and Blond McIndoe Trust One-Year Research Fellowship.

This work acknowledges the support of the NIHR Barts Biomedical Research Centre (NIHR203330), a delivery partnership of Barts Health NHS Trust, Queen Mary University of London, St George’s University Hospitals NHS Foundation Trust and St George’s University of London.

Professor Daniel Prieto-Alhambra’s research group has received research grants from the European Medicines Agency, from the Innovative Medicines Initiative, from Amgen, Chiesi and from UCB Biopharma, as well as consultancy or speaker fees (paid to his department) from Astellas, Amgen, Astra Zeneca and UCB Biopharma.

Professor Daniel Prieto-Alhambra receives funding from the UK NIHR in the form of a senior research fellowship. His group received partial support from the Oxford NIHR Biomedical Research Centre.

Informed consent

Not applicable.

Ethical approval

CPRD requires protocol approval via a Research Data Governance Process, available through the Electronic Research Applications Portal (). This study was approved via the Electronic Research Applications Portal subsection of the Medicines and Healthcare Regulatory Agency associated with CPRD-based research (protocol number 21_000336).

ORCID iD

Justin CR Wormald

Supplementary material

Supplemental material for this article is available online.

References

Baldwin

Jackowski

Jamal

, et al. Risk of surgical site infection in hand trauma, and the impact of the SARS-CoV-2 pandemic: A cohort study. J Plast Reconstr Aesthet Surg. 2021, 74: 3080–6.

Centers for Disease Control and Prevention (CDC). National Healthcare Safety Network (NHSN) Surgical Site Infection, 2023. https://www.cdc.gov/nhsn/psc/ssi/index.html (accessed 14 March 2023).

CPRD. Clinical Practice Research Datalink, 2022. https://www.cprd.com/node/120 (accessed 28 November 2022).

CPRD GOLD. January 2023 dataset, 2023. https://www.cprd.com/cprd-gold-january-2023-dataset. (accessed 11 September 2024).

Daryapeyma

Hammar

Wahlgren

CM.

Incidence of healthcare associated infections after lower extremity revascularization using antibiotic treatment as a marker. Eur J Vasc Endovasc Surg. 2016, 51: 690–5.

Davies

Roberts

Limb

Mather

Thornton

Wade

RG.

Time to surgery for open hand injuries and the risk of surgical site infection: a prospective multicentre cohort study. J Hand Surg Eur. 2020, 45: 622–8.

Dias

Garcia-Elias

Hand injury costs. Injury. 2006; 37:1071–7.

Dias

Brealey

Fairhurst

, et al. Surgery versus cast immobilisation for adults with a bicortical fracture of the scaphoid waist (SWIFFT): a pragmatic, multicentre, open-label, randomised superiority trial. Lancet. 2020, 396: 390–401.

Galvain

Chitnis

Paparouni

Tong

Holy

Giannoudis

PV.

The economic burden of infections following intramedullary nailing for a tibial shaft fracture in England. BMJ Open. 2020, 10: e035404.

10.

Grubbs

Manna

Wound Physiology. [Updated 2023 May 16]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025. Available from: https://www.ncbi.nlm.nih.gov/books/NBK518964/

11.

Gulliford

Sun

Anjuman

Yelland

Murray-Thomas

Comparison of antibiotic prescribing records in two UK primary care electronic health record systems: cohort study using CPRD GOLD and CPRD Aurum databases. BMJ Open. 2020, 10: e038767.

12.

Hartmann

Junger

Brammen

, et al. Review of antibiotic drug use in a surgical ICU: management with a patient data management system for additional outcome analysis in patients staying more than 24 hours. Clin Ther. 2004, 26: 915–24.

13.

Helmerhorst

GTT

Vranceanu

A-M

Vrahas

Smith

Ring

Risk factors for continued opioid use one to two months after surgery for musculoskeletal trauma. J Bone Joint Surg. 2014, 96: 495.

14.

Herrett

Gallagher

Bhaskaran

, et al. Data resource profile: Clinical Practice Research Datalink (CPRD). Int J Epidemiol. 2015, 44: 827–36.

15.

Johnson

Chung

Zhong

, et al. Risk of prolonged opioid use among opioid-naïve patients following common hand surgery procedures. J Hand Surg Am. 2016, 1: 947–57.e3.

16.

Krockow

Harvey

Ashiru-Oredope

Addressing long-term and repeat antibiotic prescriptions in primary care: considerations for a behavioural approach. BMJ Qual Saf. 2022, 31: 782–6.

17.

Kruse

Thomsen

Hundborg

Knudsen

Sørensen

Schønheyder

HC.

Diabetes and risk of acute infectious conjunctivitis—a population-based case-control study. Diabet Med. 2006, 23: 393–7.

18.

Lalonde

MacDermid

, et al. Time to stop routinely prescribing opiates after carpal tunnel release. Plast Reconstr Surg. 2022, 149: 651–60.

19.

Liddle

Judge

Pandit

Murray

DW.

Adverse outcomes after total and unicompartmental knee replacement in 101,330 matched patients: a study of data from the National Joint Registry for England and Wales. Lancet. 2014; 384: 1437–45.

20.

Llor

Bjerrum

Antimicrobial resistance: risk associated with antibiotic overuse and initiatives to reduce the problem. Ther Adv Drug Saf. 2014, 5: 229–41.

21.

Manley

OWG

Wormald

JCR

Furniss

The changing shape of hand trauma: an analysis of Hospital Episode Statistics in England. J Hand Surg Eur. 2019, 44: 532–6.

22.

McDonald

Bavaro

Hofmeister

Kroonen

LT.

Hand infections. J Hand Surg Am. 2011, 36: 1403–12.

23.

NICE. Evidence review for the effectiveness of closure materials and techniques in the prevention of surgical site infection: surgical site infections: prevention and treatment: evidence review D. London: National Institute for Health and Care Excellence (NICE), April 2019 (NICE Guideline no. 125). https://www.ncbi.nlm.nih.gov/books/NBK569837/.

24.

OHDSI. GitHub, 2024. https://github.com/OHDSI/Atlas/wiki/Home (accessed 11 September 2024).

25.

OHDSI, 2024. Informatics OHDSI chapter 10, defining cohorts. The book of OHDSI. https://ohdsi.github.io/TheBookOfOhdsi/Cohorts.html (accessed 15 October 2024).

26.

Ostropolets

Ryan

Hripcsak

Phenotyping in distributed data networks: selecting the right codes for the right patients. AMIA Annu Symp Proc. 2023, 2022: 826–35.

27.

Oxford Health NHS Foundation Trust Formulary. http://www.oxfordhealthformulary.nhs.uk/default.asp?siteType=Full (accessed in 2024).

28.

Pavan

Albarki

Keating

Leong

JC.

Does delay to theater lead to increased infection rates in hand trauma? A retrospective cohort study. Plast Reconstr Surg Glob Open. 2018, 6: e 2025.

29.

Pham

Ashton

Kimata

Lin

Nakamoto

BK.

Surgical site infection: comparing surgeon versus patient self-report. J Surg Res. 2016, 202: 95–102.

30.

PHOEBE 2.0. Selecting the right concept sets for the right patients using lexical, semantic, and data-driven recommendations – OHDSI, 2024. https://www.ohdsi.org/2022showcase-6/ (accessed 8 October 2024).

31.

Shafi

Shaw

James

VYZ

Reay

RSTN COVID-19 hand recovery: two years on, where are we now?

J Plast Reconstr Aesthet Surg. 2024, 97: 237–44.

32.

Shaw

Holmes

Jansen

, et al. RSTN COVID hand: hand trauma in the United Kingdom and Europe during the COVID-19 pandemic. J Plast Reconstr Aesthet Surg. 2023, 84: 258.

33.

Stephanie. Binomial confidence interval. Stat to 2018. https://www.statisticshowto.com/binomial-confidence-interval/ (accessed 17 March 2023).

34.

Stoicea

Costa

Periel

Uribe

Weaver

Bergese

SD.

Current perspectives on the opioid crisis in the US healthcare system: a comprehensive literature review. Medicine (Baltimore). 2019, 98: e15425.

35.

STROBE. Strengthening the Reporting of Observational Studies in Epidemiology: explanation and elaboration, 2023. https://go.gale.com/ps/i.do?id=GALE%7CA171772985&sid=googleScholar&v=2.1&it=r&linkaccess=abs&issn=15491277&p=HRCA&sw=w&userGroupName=anon%7Ea911ae00 (accessed 17 March 2023).

36.

Stridh Ekman

Ringbäck Weitoft

Nyrén

Dickman

Ericsson

Struwe

National surveillance of surgical-site infection through register-based analysis of antibiotic use after inguinal hernia repair. Br J Surg. 2010, 97:1 722–9.

37.

Wallace

Judge

Prieto-Alhambra

de Vries

Arden

Cooper

The effect of body mass index on the risk of post-operative complications during the 6 months following total hip replacement or total knee replacement surgery. OARS. 2014, 22: 918–27.

38.

Warwick

Hand Surgery in the UK: a resource for those involved in organising, delivering and developing services for patients with conditions of the hand and wrist. Report of a Working Party. BSSH, 2018. Available from: https://www.bssh.ac.uk/professionals/hand_surgery_in_the_uk.aspx (accessed 15 October 2024).

39.

Whitby

McLaws

M-L

Collopy

, et al. Post-discharge surveillance: can patients reliably diagnose surgical wound infections? J Hosp Infect. 2002, 52: 155–60.

40.

Wolf

Chitnis

Manoranjith

, et al. Surgical treatment, complications, reoperations, and healthcare costs among patients with clavicle fracture in England. BMC Musculoskelet Disord. 2022, 23: 135.

41.

Wormald

Baldwin

Nadama

, et al. Surgical site infection following surgery for hand trauma: a systematic review and meta-analysis. J Hand Surg Eur. 2023, 48: 998–1005.

42.

Xie

Strauss

Martinez-Laguna

, et al. Association of tramadol vs codeine prescription dispensation with mortality and other adverse clinical outcomes. JAMA. 2021, 326: 1504–15.

Supplementary Material

Please find the following supplemental material available below.

For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.

For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.

0.00 MB

0.44 MB