Spine Registries




Summary of Key Points





  • Understand the history and driving forces behind the development of patient registries, including policy changes and limitations in existing health research.



  • Evaluate spine registries and their contributions to the existing body of spine research.



  • Identify registry design aspects that enable collection of quality data to empower high-level evidence.



  • Recognize the current limitations of spine registries and factors that will expand their impact on patient care.



In a 1974 World Health Organization Publication, E. M. Brooke introduced the general concept of patient registries in health information systems as documents about individual persons that are collected systematically for a specific purpose. Increasingly, patient registries have been used for the express purpose of evaluating patient outcomes. These registries have been more specifically defined as “an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes.”


Currently, in the United States, there is an increasing call for defining and assigning health care value based on quality and cost/benefit analysis in an effort to drive health care reform and decrease the overall cost of health care. In this model, value, in its simplest form, is evaluated as patient-based outcomes divided by related costs of care. Although randomized clinical trials (RCTs) are widely accepted as the gold standard for evidence-based practices, important limitations in their generalizability remain. Specifically, the same factors that ensure high internal validity, such as strict inclusion/exclusion criteria and homogenous populations, also inherently limit the ability to generalize these conclusions to populations not represented in these studies. It has been reported that enrollment in RCTs in spine surgery is often less than 50% owing to hesitation to participate by either the surgeon or the patient, leading to potentially nonrepresentative patient populations ultimately being enrolled. Other limiting factors include cost and scalability. These limitations have been highlighted specifically in spine surgery research, with strict randomization and quality control efforts resulting in artificially higher effect sizes. When collected appropriately, real-world data from registries have many advantages over that gleaned from traditional clinical trials, including scalability, cost effectiveness, and better generalizability (external validity).


There has been widespread advocacy on the national front for the use of prospective registries as a way to drive health care reform, as evidenced by health reform packages funding and expanding the role of “comparative effectiveness research” in determining cost effectiveness. The formation of prospective registries for collecting data on health care outcomes and effectiveness is one avenue to facilitate evidence-based practices and value assessments in a generalizable and cost-effective manner. When appropriately designed, quality registries can be used to generate high-level evidence (level 1 prognostic/predictive evidence and level 2 evidence on effectiveness). The trend in spine surgery has been toward building and maintaining such registries to allow for high-quality data collection and analysis that are specific to a given procedure or surgical paradigm. This chapter addresses the goals of these registries, documents their current status and contribution to the spine literature, and finally discusses future avenues and potential pitfalls of this system.




Registry Design


There is notably a large degree of diversity in terms of the focus of spine registries as well as the methods of data collection, which have important implications for their utility. Some registries rely predominantly on data entered by physicians and health care providers or patients, whereas others draw from nonclinical hospital data extractors and claims databases. Measures of objective outcomes typically include radiographic outcomes as well as clinical outcomes documenting complications and reoperation rates. Subjective outcomes may include physician assessments of function or patient-reported outcome measures and inventories, including the visual analog scale (VAS), Short Form (SF)-12, SF-36, Scoliosis Research Society (SRS)-22, Roland Morris Disability Questionnaire (RMDQ)-24, EuroQol (EQ)-5D, Oswestry Disability Index (ODI)/Neck Disability Index (NDI), and Zung depression scales. Follow-up times also vary widely, from as little as 3 months to as long as 10 years.


The current interest in using registry data to assess quality and inform clinical reform is predicated on being able to accurately measure the outcome of an intervention and record it in a fashion that allows for comparison on a population as well as an individual level. The determination of what is considered a satisfactory outcome is therefore paramount. The biopsychosocial model of health is currently the most widely accepted model of describing an individual’s health status. In this model, health is defined across a number of health “domains” including pain, activity limitation, work participation, physical impairment, psychological factors, and contextual factors. Modern outcome registries should measure outcomes across multiple domains via validated disease-specific outcome measures to gain a full understanding of a patient’s health status.


A variety of tools for collecting outcomes data are currently employed. The most common method continues to combine paper questionnaires and manual data entry. Although this method has the advantage of easy deployment, the cost of manual data entry limits the amount of data that can be reliably collected. Most registries utilizing manual entry are, therefore, limited to collecting data on only a sample of the patient population. Patient direct entry, via computerized questionnaires, is relatively cheap after the initial start-up costs and allows for data collection on a large scale. In these cases, data collection on 100% of the patient population may be possible. Tying registry data collection directly to the electronic medical record, as has been done in some centers, allows for the automated capture of additional patient data not included in standard questionnaires (current medications, height, weight, vital signs, demographic data, etc.).




Current Status


Defining High-Quality Registries


As the scope and breadth of these registries have grown, there has been a strong push for developing prospective, patient-based longitudinal outcome registries to generate high-level evidence. Various authors and organizations have attempted to define parameters for registry formation that will produce high-yield and high-quality data. In a reflection of the widespread support of such efforts, focused societies have developed with the specific aims of defining and developing well-designed prospective registries. One example includes the Professional Society Coalition on Lumbar Fusion Outcomes consisting of the American Association of Neurological Surgeons, the North American Spine Society, the Congress of Neurological Surgeons, the Scoliosis Research Society, and the American Academy of Orthopaedic Surgeons. This society has also stated grant funding from the Agency for Healthcare Research and Quality, reflecting the nationwide consensus on the importance of these efforts.


Active Prospective Spine Registries


In their systematic review of spine registries and the resultant literature, Van Hoof and colleagues identified 25 spine registries from a total of 14 countries, of which 16 proved sufficient for study. Their literature search generated 4273 unique literature references of which 34 were selected for detailed quality analysis. A similar focused review identified and evaluated 13 prospective clinical spine surgery specific registries as of January 2014, dating back as far as the year 2000. These registries vary widely in size, ranging from as few as 300 patients to as many as 75,000, and include both national and internationally based registries. These studies represent a limited review of selected registries for which data are available, and the current number of available registries enrolling patients continues to grow. Table 39-1 details 23 of the main national and international prospective, multicenter existing spine registries for which information is available, drawing from the work by McGirt and colleagues, Van Hoof and colleagues, and from the official registry websites listed. Notably, neither of these broad review studies included some of the large multicenter national registries, such as the North American Spine Society (NASS) Spine Registry, largely due to lack of availability of detailed registry information. Highlighted next are notable results from these and other registries.



TABLE 39-1

National and International Registry Characteristics
































































































































































































































Registry (Alphabetical Order ; Websites Listed When Available/Accessible) Start Year Prospective? (Y/N) Single/Multicenter (Countries) Number of Patients Stated Goals Patient or Performance Outcome Measures Scientific Publications
I nternational R egistries
AO Spine (nonfusion)
http://www.nonfusionregistry.com
NR Y Multicenter (diverse) NR To develop evidence-based information regarding the risks and benefits of nonfusion surgery with the ultimate goal of improving the clinical outcomes of patients Variable, NR No
European Spine Study Group 2010 Y Multicenter (diverse) NR NR ODI, SRS22r, COMI, NRS, SF36 Yes
Multicenter Registry for Lumbar Spine Surgery 2003 Y Multicenter (United States, Canada) NR NR ODI, VAS Yes
North American Clinical Trials Network Data Registry
http://www.christopherreeve.org/site/c.ddJFKRNoFiG/b.8730935/k.63B6/The_NACTN_Data_Registry.htm
2004 Y Multicenter (United States, Canada) 588 (2013) To provide a statistical and scientific platform necessary to conduct clinical trials of potential therapies; to develop high-quality, standardized, and validated data on adult patients who have suffered spinal cord injury NR Yes
Scoliosis Outcomes Database 2005 Y Multicenter (United States, Germany) NR NR None (Radiographic) NR
Scolisoft Scoliosis Database
https://aospine.aofoundation.org
2011 Y Multicenter (diverse) 300 To develop a tool for the collection and retrieval of clinical data specific to adolescent idiopathic scoliosis None (Radiographic) Yes
Spine Tango
http://www.eurospine.org/spine-tango.htm
2002 Y Multicenter (diverse) 70,000 (2013) To assess the safety, efficiency, and cost effectiveness of new techniques and technologies COMI, ODI, EQ-5D Yes
N ational S pine R egistries
Adult Deformity Outcomes Database (Spine Deformity Study Group) 2002 Y Multicenter (United States) NR NR SRS-22, ODI, SF12 Yes
Adult Thoracolumbar Spinal Deformities Database (International Spine Study Group) 2010 Y Multicenter (United States) NR NR SRS-22, ODI, SF36 Yes
British Spine Registry
http://www.britishspineregistry.com
2012 Y Multicenter (UK) 10,000 (2013) To improve patient safety and monitor the results of spine surgery EQ-5D, ODI, VAS, Zung Score No
Canadian Spine Outcomes and Research Network
http://spinecanada.ca
2012 Y Multicenter (Canada) 2260 (2012) To track specific outcome measures of different surgical techniques used to treat spinal conditions VAS, SF12, EQ-5D No
Chest Wall and Spine Deformity (Children’s Spine Foundation and Study Group)
http://childrensspinefoundation.org
NR Y Multicenter (NR) NR To help spine surgeons to efficiently identify and track patients with chest wall and spinal disorders NR Yes
DaneSpine
http://www.danespine.dk/Default2.asp
2009 Y Multicenter (Denmark) NR NR ODI, VAS, EQ-5D, SF36 Yes
Dutch Spine Surgery Registry
http://dssr.clinicalaudit.nl (Dutch)
2014 Y Multicenter (The Netherlands) NR NR NPRS, SF36, EQ-5D No
N 2 QOD
http://www.neuropoint.org/NPA%20N2QOD.html
2012 Y Multicenter (United States) 9000 (2014) To establish risk-adjusted benchmarks for cost and quality of common neurosurgical procedures; to allow practice groups and hospitals to analyze their outcomes in real time NRS, EQ-5D, ODI, NDI Yes
National Spine Network
http://www.nationalspinenetwork.org
1994 NR Multicenter (United States) NR To improve the quality of patient care, the productivity of the spine care provider, and the cost effectiveness of spine research ODI, SF36, SF12, SF8 Yes
NORSpine 2006 Y Multicenter (Norway) NR NR NPRS, EQ-5D Yes
Rick Hansen Spinal Cord Injury
http://www.rickhanseninstitute.org/work/our-projects-initiatives/rhscir
2004 Y Multicenter (Canada) 3900 (2013) To improve both research and clinical practice for individuals with spinal cord injury Pain ratings, life satisfaction–11 Yes
Russian Spine Registry 2012 Y Multicenter (Russia) NR NR VAS, SF36 Yes
SMISS (Society for Minimally Invasive Spine Surgery)
http://www.smiss.org/smiss-registry
2011 Y Multicenter (United States) NR To help drive and support the concept of value-based health care in minimally invasive spine surgery HRQOL and QALY No/NR
SweSpine
http://www.4s.nu/4s_eng/index.htm
1992 Y Multicenter (Sweden) 75,000 (2013) To evaluate baseline and follow-up data for degenerative spinal conditions and disc disease VAS, ODI, SF-36, EQ-5D Yes
SWISSspine
http://www.swiss-spine.ch/en/home
2005 Y Multicenter (Switzerland) NR To assist federal departments in decisions regarding reimbursement for technologies and treatments related to total disc arthroplasty NASS, COMI, NPRS, EQ-5D Yes
The Spine Registry of Kaiser Permanente
http://www.kpimplantregistries.org/registries/spine.htm
2009 Y Multicenter (United States) > 10,500 (2012) To track specific spinal implants and enhance quality of care None (clinical outcomes only) Yes

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Feb 12, 2019 | Posted by in NEUROSURGERY | Comments Off on Spine Registries

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