Analyzing cost-effectiveness of ulnar and median nerve transfers to regain forearm flexion

Free functional muscle transfer for upper limb paralysis - A systematic review

BACKGROUND

Functional restoration of upper limb paralysis represents a major reconstructive challenge. Free functional muscle transfer (FFMT) enables reanimation in patients with a lack of local donor tissues or delayed presentation. This systematic review summarises the evidence for FFMT in the reconstruction of upper limb paralysis.

METHODS

A comprehensive search of MEDLINE and EMBASE was performed with a systematic review using methodology adapted from the Cochrane Handbook and the PRISMA statement. Data from included studies were compiled and narratively synthesised. Studies were assessed for risk of bias.

RESULTS

A total of 1155 records were screened, with 39 observational studies of 904 patients included. The most common aetiology was brachial plexus injury (736, 81.4%). Mean time from injury to intervention was 26 months. Restoration of elbow flexion was the commonest reconstructive goal. The most common donor muscle was gracilis (91.5%). Reported outcomes were heterogeneous with patient-reported outcome measures (PROMs) available in only 7 of 39 studies. Nearly half of FFMTs had a post-operative MRC grade of <4 and 18.1% had an MRC <3. Mean flap failure rate was 3.6% (range 0-10.5%). All studies were at high risk of bias.

CONCLUSIONS

FFMT may be an effective surgical intervention for upper limb paralysis; however, the current evidence has significant shortcomings. There is no consensus regarding outcome measures nor is it possible to identify prognostic factors for its effectiveness. This review highlights a need for improved study design with pre-operative assessment, standardisation in outcome reporting, and the use of PROMs to determine the effectiveness of FFMT in upper limb paralysis.

Cost-Effectiveness Analysis of Combined Dual Motor Nerve Transfers versus Alternative Surgical and Nonsurgical Management Strategies to Restore Shoulder Function Following Upper Brachial Plexus Injury

BACKGROUND

Restoration of shoulder function is an important treatment goal in upper brachial plexus injury (UBPI). Combined dual motor nerve transfer (CDNT) of spinal accessory to suprascapular and radial to axillary nerves demonstrates good functional recovery with minimal risk of perioperative complications.

OBJECTIVE

To evaluate the cost-effectiveness of CDNT vs alternative operative and nonoperative treatments for UBPI.

METHODS

A decision model was constructed to evaluate costs ($, third-party payer) and effectiveness (quality-adjusted life years [QALYs]) of CDNT compared to glenohumeral arthrodesis (GA), conservative management, and nontreatment strategies. Estimates for branch probabilities, costs, and QALYs were derived from published studies. Incremental cost-effectiveness ratios (ICER, $/QALY) were calculated to compare the competing strategies. One-way, 2-way, and probabilistic sensitivity analyses with 100 000 iterations were performed to account for effects of uncertainty in model inputs.

RESULTS

Base case model demonstrated CDNT effectiveness, yielding an expected 21.04 lifetime QALYs, compared to 20.89 QALYs with GA, 19.68 QALYs with conservative management, and 19.15 QALYs with no treatment. The ICERs for CDNT, GA, and conservative management vs nontreatment were $5776.73/QALY, $10 483.52/QALY, and $882.47/QALY, respectively. Adjusting for potential income associated with increased likelihood of returning to work after clinical recovery demonstrated CDNT as the dominant strategy, with ICER = -$56 459.54/QALY relative to nontreatment. Probabilistic sensitivity analysis showed CDNT cost-effectiveness at a willingness-to-pay threshold of $50 000/QALY in 78.47% and 81.97% of trials with and without income adjustment, respectively. Conservative management dominated in <1% of iterations.

CONCLUSION

CDNT and GA are cost-effective interventions to restore shoulder function in patients with UBPI.

Markov modeling for the neurosurgeon: a review of the literature and an introduction to cost-effectiveness research

OBJECTIVE Markov modeling is a clinical research technique that allows competing medical strategies to be mathematically assessed in order to identify the optimal allocation of health care resources. The authors present a review of the recently published neurosurgical literature that employs Markov modeling and provide a conceptual framework with which to evaluate, critique, and apply the findings generated from health economics research. METHODS The PubMed online database was searched to identify neurosurgical literature published from January 2010 to December 2017 that had utilized Markov modeling for neurosurgical cost-effectiveness studies. Included articles were then assessed with regard to year of publication, subspecialty of neurosurgery, decision analytical techniques utilized, and source information for model inputs. RESULTS A total of 55 articles utilizing Markov models were identified across a broad range of neurosurgical subspecialties. Sixty-five percent of the papers were published within the past 3 years alone. The majority of models derived health transition probabilities, health utilities, and cost information from previously published studies or publicly available information. Only 62% of the studies incorporated indirect costs. Ninety-three percent of the studies performed a 1-way or 2-way sensitivity analysis, and 67% performed a probabilistic sensitivity analysis. A review of the conceptual framework of Markov modeling and an explanation of the different terminology and methodology are provided. CONCLUSIONS As neurosurgeons continue to innovate and identify novel treatment strategies for patients, Markov modeling will allow for better characterization of the impact of these interventions on a patient and societal level. The aim of this work is to equip the neurosurgical readership with the tools to better understand, critique, and apply findings produced from cost-effectiveness research.

Use of Decision Analysis and Economic Evaluation in Upper Extremity Surgery: A Systematic Review

BACKGROUND

Decision analysis allows clinicians to apply evidence-based medicine to guide objective decisions in uncertain scenarios. There is no comprehensive review summarizing the various decision analysis tools used. The authors aimed to appraise and review the decision analytic models used in hand surgery.

METHODS

A search of English articles on the PubMed, Ovid, and Embase databases was performed. All articles, regardless of date of publishing, were considered. Two reviewers, based on strict inclusion criteria, independently assessed each article.

RESULTS

The search resulted in 5525 abstracts, which yielded 30 studies that met inclusion criteria. Included studies were grouped according to medical indications, with scaphoid fractures (n = 6) and carpal tunnel syndrome (n = 5) being the most commonly reported. Included articles used decision analysis (n = 15) and/or economic analyses (n = 23) to discuss diagnostic strategies or compare treatments. The three most common outcomes reported were utility (n = 12), cost per quality-adjusted life-year (n = 16), and quality-adjusted life-years (n = 16). The decision analysis models compared diagnostic strategies, management options, and novel treatments.

CONCLUSIONS

Decision analysis is increasingly popular in hand surgery. It is useful for comparing surgical strategies through evaluation of quality-of-life outcomes and costing data. The most common model was a simple decision tree. The quality of decision analysis models can be improved with the addition of sensitivity analysis. Surgeons should be familiar with the principles of decision analysis, so that complex decisions can be evaluated using rigorous probabilistic models that combine risks and benefits of multiple strategies.

Nerve transfer versus muscle transfer to restore elbow flexion after pan-brachial plexus injury: a cost-effectiveness analysis

OBJECTIVE Pan-brachial plexus injury (PBPI), involving C5-T1, disproportionately affects young males, causing lifelong disability and decreased quality of life. The restoration of elbow flexion remains a surgical priority for these patients. Within the first 6 months of injury, transfer of spinal accessory nerve (SAN) fascicles via a sural nerve graft or intercostal nerve (ICN) fascicles to the musculocutaneous nerve can restore elbow flexion. Beyond 1 year, free-functioning muscle transplantation (FFMT) of the gracilis muscle can be used to restore elbow flexion. The authors present the first cost-effectiveness model to directly compare the different treatment strategies available to a patient with PBPI. This model assesses the quality of life impact, surgical costs, and possible income recovered through restoration of elbow flexion. METHODS A Markov model was constructed to simulate a 25-year-old man with PBPI without signs of recovery 4.5 months after injury. The management options available to the patient were SAN transfer, ICN transfer, delayed FFMT, or no treatment. Probabilities of surgical success rates, quality of life measurements, and disability were derived from the published literature. Cost-effectiveness was defined using incremental cost-effectiveness ratios (ICERs) defined by the ratio between costs of a treatment strategy and quality-adjusted life years (QALYs) gained. A strategy was considered cost-effective if it yielded an ICER less than a willingness-to-pay of $50,000/QALY gained. Probabilistic sensitivity analysis (PSA) was performed to address parameter uncertainty. RESULTS The base case model demonstrated a lifetime QALYs of 22.45 in the SAN group, 22.0 in the ICN group, 22.3 in the FFMT group, and 21.3 in the no-treatment group. The lifetime costs of income lost through disability and interventional/rehabilitation costs were $683,400 in the SAN group, $727,400 in the ICN group, $704,900 in the FFMT group, and $783,700 in the no-treatment group. Each of the interventional modalities was able to dramatically improve quality of life and decrease lifelong costs. A Monte Carlo PSA demonstrated that at a willingness-to-pay of $50,000/QALY gained, SAN transfer dominated in 88.5% of iterations, FFMT dominated in 7.5% of iterations, ICN dominated in 3.5% of iterations, and no treatment dominated in 0.5% of iterations. CONCLUSIONS This model demonstrates that nerve transfer surgery and muscle transplantation are cost-effective strategies in the management of PBPI. These reconstructive neurosurgical modalities can improve quality of life and lifelong earnings through decreasing disability.