Open and abundant data is the future of rehabilitation and research

A beginner's guide to data stewardship and data sharing

STUDY DESIGN

A narrative review of principles, benefits and disadvantages, as well as methods of research data sharing.

OBJECTIVES

To assist prospective Spinal Cord authors and others with understanding and implementing data sharing, so that various benefits of such sharing can accrue to all spinal cord injury research stakeholders.

SETTING

International.

METHODS

The medical research and health care services literature was reviewed nonsystematically for relevant articles, and web sites were explored for information and services offered by various pertinent organizations.

RESULTS

Grant makers, professional organizations, research journals, publishers, and other entities in the research field increasingly stress the ethics as well as societal and practical benefits of data sharing, and require researchers to do so within a reasonable time after data collection ends. Sharing data, retrospectively, generally requires much time and resources, but when a data management plan is part of a research proposal from the start, costs are limited, and grant makers allow these costs to be part of a budget. There are many organizations that offer information on or even assist with preparing data for sharing and actual deposit in a data repository.

CONCLUSIONS

The requirement of data sharing is not likely to go away, and researchers interested in submitting their reports to Spinal Cord would do well to familiarize themselves with the myriad practical issues involved in preparing data for sharing.

Implementation of a Standardized Dataset for Collecting Information on Patients With Spinal Cord Injury

Background: Over the last decade, the International Spinal Cord Injury Data Sets project developed a number of International Spinal Cord Injury Data Sets (ISCIDS) that can be used to collect standardized information on patients with SCI. Objective and Methods: The aim of this article is to describe the process of translating the ISCIDS into Dutch and reaching consensus on a Dutch National SCI Data Set (NDD). The interrater reliability of the NDD and implementation of the NDD at eight rehabilitation centers with a specialty in rehabilitation after SCI in the Netherlands are described. Results: NDD was implemented successfully at all eight centers. Some adaptations were made to the ISCIDS, especially to the core data set. The reliability coefficients of the NDD items were at least sufficient (mean kappa per data set ranged between .68 and .91), and mean agreement per data set ranged from 66% to 97%. Experiences from the participating centers were mainly positive as well. The main obstacle for use was thought to be the absence of a link between the local patient files and the national database, which necessitates double data entry. Conclusion: Although the results on interrater reliability are based on a small sample size and the assessment situation is different from the normal clinical situation, this study showed the NDD to be a useful instrument to collect standardized information on patients with SCI in the Netherlands. In the future, a connection between systems or another way to centrally collect the data is recommended to prevent double data entry and to guarantee continuation of administration of the NDD.

Progress of the Dutch Spinal Cord Injury Database: Completeness of Database and Profile of Patients Admitted for Inpatient Rehabilitation in 2015

Background: In the Dutch International Spinal Cord Injury (SCI) Data Sets project, we translated all International SCI Data Sets available in 2012 and created a Dutch SCI Database (NDD). Objective: To describe the number of included patients and completeness of the NDD, and to use the NDD to provide a profile of people with traumatic SCI (T-SCI) and non-traumatic SCI (NT-SCI) in the Netherlands. Methods: The NDD includes patients admitted for their first inpatient rehabilitation after onset of SCI to 1 of the 8 rehabilitation centers with a specialty in SCI rehabilitation in the Netherlands. Data of patients admitted in 2015 were analyzed. Results: Data for 424 patients were available at admission; for 310 of these patients (73.1%), discharge data were available. No significant differences were found between patients with and without data at discharge. Data were nearly complete (>90%) for lower urinary tract, bowel, pain, and skin. Data on sexual function has the lowest completion rate. Complete neurological and functional data were available for 41.7% and 38%, respectively. Most patients were male (63.4%), had NT-SCI (65.5%), and had incomplete SCI (58.4% D). Patients with T-SCI differed from patients with NT-SCI on most characteristics, and they stayed considerably longer in the rehabilitation center (112 days vs 65 days, p < .001). Place of discharge was not different between both groups. Conclusion: With the NDD, we collect important data on the majority of Dutch SCI patients, although much work needs to be done to improve the completeness of the data collection.

Mobile Technology Use by People Experiencing Multiple Sclerosis Fatigue: Survey Methodology

Background

Fatigue is one of the most commonly reported symptoms of multiple sclerosis (MS). It has a profound impact on all spheres of life, for people with MS and their relatives. It is one of the key precipitants of early retirement. Individual, group, and Internet cognitive behavioral therapy–based approaches to supporting people with MS to manage their fatigue have been shown to be effective.

Objective

The aim of this project was to (1) survey the types of mobile devices and level of Internet access people with MS use or would consider using for a health intervention and (2) characterize the levels of fatigue severity and their impact experienced by the people in our sample to provide an estimate of fatigue severity of people with MS in New Zealand. The ultimate goal of this work was to support the future development of a mobile intervention for the management of fatigue for people with MS.

Methods

Survey methodology using an online questionnaire was used to assess people with MS. A total of 51 people with MS participated. The average age was 48.5 years, and the large majority of the sample (77%) was female.

Results

Participants reported significant levels of fatigue as measured with the summary score of the Neurological Fatigue Index (mean 31.4 [SD 5.3]). Most (84%) respondents scored on average more than 3 on the fatigue severity questions, reflecting significant fatigue. Mobile phone usage was high with 86% of respondents reporting having a mobile phone; apps were used by 75% of respondents. Most participants (92%) accessed the Internet from home.

Conclusions

New Zealand respondents with MS experienced high levels of both fatigue severity and fatigue impact. The majority of participants have a mobile device and access to the Internet. These findings, along with limited access to face-to-face cognitive behavioral therapy–based interventions, create an opportunity to develop a mobile technology platform for delivering a cognitive behavioral therapy–based intervention to decrease the severity and impact of fatigue in people with MS.