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The Bone & Joint Journal
Vol. 101-B, Issue 7_Supple_C | Pages 61 - 63
1 Jul 2019
Lawrie CM Schwabe M Pierce A Nunley RM Barrack RL

Aims

The aim of this study was to compare the actual cost of a cemented and cementless total knee arthroplasty (TKA) procedure.

Materials and Methods

The cost of operative time, implants, cement, and cementing accessories were included in the overall cost of the TKA procedure. Operative time was determined from a previously published study comparing cemented and cementless implants of the same design. The cost of operative time, implants, cement, and cementing accessories was determined from market and institutional data.


The Bone & Joint Journal
Vol. 99-B, Issue 10 | Pages 1265 - 1266
1 Oct 2017
Jacofsky DJ Haddad FS


Bone & Joint 360
Vol. 8, Issue 4 | Pages 19 - 21
1 Aug 2019


Bone & Joint 360
Vol. 5, Issue 6 | Pages 16 - 18
1 Dec 2016


The Bone & Joint Journal
Vol. 101-B, Issue 7_Supple_C | Pages 28 - 32
1 Jul 2019
Springer BD Roberts KM Bossi KL Odum SM Voellinger DC

Aims

The aim of this study was to observe the implications of withholding total joint arthroplasty (TJA) in morbidly obese patients

Patients and Methods

A total of 289 morbidly obese patients with end-stage osteoarthritis were prospectively followed. There were 218 women and 71 men, with a mean age of 56.3 years (26.7 to 79.1). At initial visit, patients were given information about the risks of TJA in the morbidly obese and were given referral information to a bariatric clinic. Patients were contacted at six, 12, 18, and 24 months from initial visit.


Bone & Joint Open
Vol. 1, Issue 6 | Pages 257 - 260
12 Jun 2020
Beschloss A Mueller J Caldwell JE Ha A Lombardi JM Ozturk A Lehman R Saifi C

Aims

Medical comorbidities are a critical factor in the decision-making process for operative management and risk-stratification. The Hierarchical Condition Categories (HCC) risk adjustment model is a powerful measure of illness severity for patients treated by surgeons. The HCC is utilized by Medicare to predict medical expenditure risk and to reimburse physicians accordingly. HCC weighs comorbidities differently to calculate risk. This study determines the prevalence of medical comorbidities and the average HCC score in Medicare patients being evaluated by neurosurgeons and orthopaedic surgeon, as well as a subset of academic spine surgeons within both specialities, in the USA.

Methods

The Medicare Provider Utilization and Payment Database, which is based on data from the Centers for Medicare and Medicaid Services’ National Claims History Standard Analytic Files, was analyzed for this study. Every surgeon who submitted a valid Medicare Part B non-institutional claim during the 2013 calendar year was included in this study. This database was queried for medical comorbidities and HCC scores of each patient who had, at minimum, a single office visit with a surgeon. This data included 21,204 orthopaedic surgeons and 4,372 neurosurgeons across 54 states/territories in the USA.


The Bone & Joint Journal
Vol. 99-B, Issue 11 | Pages 1431 - 1434
1 Nov 2017
Jacofsky DJ

Modern healthcare contracting is shifting the responsibility for improving quality, enhancing community health and controlling the total cost of care for patient populations from payers to providers. Population-based contracting involves capitated risk taken across an entire population, such that any included services within the contract are paid for by the risk-bearing entity throughout the term of the agreement. Under such contracts, a risk-bearing entity, which may be a provider group, a hospital or another payer, administers the contract and assumes risk for contractually defined services. These contracts can be structured in various ways, from professional fee capitation to full global per member per month diagnosis-based risk. The entity contracting with the payer must have downstream network contracts to provide the care and facilities that it has agreed to provide. Population health is a very powerful model to reduce waste and costs. It requires a deep understanding of the nuances of such contracting and the appropriate infrastructure to manage both networks and risk.

Cite this article: Bone Joint J 2017;99-B:1431–4.


The Bone & Joint Journal
Vol. 101-B, Issue 7_Supple_C | Pages 17 - 21
1 Jul 2019
Schroer WC LeMarr AR Mills K Childress AL Morton DJ Reedy ME

Aims

To date, no study has demonstrated an improvement in postoperative outcomes following elective joint arthroplasty with a focus on nutritional intervention for patients with preoperative hypoalbuminaemia. In this prospective study, we evaluated differences in the hospital length of stay (LOS), rate of re-admission, and total patient charges for a malnourished patient study population who received a specific nutrition protocol before surgery.

Patients and Methods

An analytical report was extracted from the electronic medical record (EMR; Epic, Verona, Wisconsin) of a five-hospital network joint arthroplasty patient data set between 2014 and 2017. A total of 4733 patients underwent joint arthroplasty and had preoperative measurement of albumin levels: 2220 at four hospitals and 2513 at the study hospital. Albumin ≤ 3.4 g/l, designated as malnutrition, was found in 543 patients (11.5%). A nutritional intervention programme focusing on a high-protein, anti-inflammatory diet was initiated in January 2017 at one study hospital. Hospital LOS, re-admission rate, and 90-day charges were compared for differential change between patients in study and control hospitals for all elective hip and knee arthroplasty patients, and for malnourished patients over time as the nutrition intervention was implemented.


Bone & Joint 360
Vol. 8, Issue 3 | Pages 13 - 16
1 Jun 2019


Bone & Joint 360
Vol. 7, Issue 5 | Pages 1 - 1
1 Oct 2018
Ollivere B


Bone & Joint 360
Vol. 6, Issue 3 | Pages 10 - 12
1 Jun 2017


Bone & Joint 360
Vol. 6, Issue 1 | Pages 16 - 19
1 Feb 2017


Bone & Joint 360
Vol. 7, Issue 5 | Pages 16 - 18
1 Oct 2018


Bone & Joint 360
Vol. 7, Issue 5 | Pages 36 - 38
1 Oct 2018


Bone & Joint 360
Vol. 7, Issue 5 | Pages 28 - 30
1 Oct 2018


Bone & Joint 360
Vol. 7, Issue 1 | Pages 35 - 37
1 Feb 2018


Bone & Joint 360
Vol. 6, Issue 5 | Pages 24 - 27
1 Oct 2017


The Bone & Joint Journal
Vol. 99-B, Issue 12 | Pages 1571 - 1576
1 Dec 2017
Jacofsky DJ

‘Big data’ is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Billions of dollars have been spent on attempts to build predictive tools from large sets of poorly controlled healthcare metadata. Companies often sell reports at a physician or facility level based on various flawed data sources, and comparative websites of ‘publicly reported data’ purport to educate the public. Physicians should be aware of concerns and pitfalls seen in such data definitions, data clarity, data relevance, data sources and data cleaning when evaluating analytic reports from metadata in health care.

Cite this article: Bone Joint J 2017;99-B:1571–6.


Bone & Joint 360
Vol. 6, Issue 4 | Pages 13 - 15
1 Aug 2017


Bone & Joint 360
Vol. 6, Issue 2 | Pages 14 - 17
1 Apr 2017