Literature DB >> 19561695

Validation of the Social Security Death Index (SSDI): An Important Readily-Available Outcomes Database for Researchers.

James Quinn1, Nathan Kramer, Daniel McDermott.   

Abstract

STUDY
OBJECTIVE: To determine the accuracy of the online Social Security Death Index (SSDI) for determining death outcomes.
METHODS: We selected 30 patients who were determined to be dead and 90 patients thought to be alive after an ED visit as determined by a web-based searched of the SSDI. For those thought to be dead we requested death certificates. We then had a research coordinator blinded to the results of the SSDI search, complete direct follow-up by contacting the patients, family or primary care physicians to determine vital status. To determine the sensitivity and specificity of the SSDI for death at six months in this cohort, we used direct follow-up as the criterion reference and calculated 95% confidence intervals.
RESULTS: Direct follow-up was completed for 90% (108 of 120) of the patients. For those patients 20 were determined to be dead and 88 alive. The dead were more likely to be male (57%) and older [(mean age 83.9 (95% CI 79.1 - 88.7) vs. 60.9 (95% CI 56.4 - 65.4) for those alive]. The sensitivity of the SSDI for those with completed direct follow-up was 100% (95% CI 91 -100%) with specificity of 100% (95% CI 98-100%). Of the 12 patients who were not able to be contacted through direct follow-up, the SSDI indicated that 10 were dead and two were alive.
CONCLUSIONS: SSDI is an accurate measure of death outcomes and appears to have the advantage of finding deaths among patients lost to follow-up.

Entities:  

Year:  2008        PMID: 19561695      PMCID: PMC2672222     

Source DB:  PubMed          Journal:  West J Emerg Med        ISSN: 1936-900X


INTRODUCTION

Death has always been an important, if not the ultimate outcome in cohort studies, particularly for cardiovascular studies.1,2 Most of these have used direct follow-up of patients to determine death. This is not only a costly endeavor but often ends up with an inevitable number of patients lost to follow-up. Recently, federal databases have become available to investigators to track death as an outcome. The two readily available source databases for mortality are the National Death Index (NDI) and the Social Security Death Index (SSDI). The advantage of these databases is that there is an incentive for the federal government to maintain their accuracy to help administer Social Security and other federal benefits. As such, these databases are reported to be accurate within six months of a person’s death, as it is mandatory for hospitals and funeral homes to report deaths so Social Security numbers (SSN) can be retired. The National Death Index (NDI) requires a formal submission and request for a third-party search at cost to the investigator. The SSDI has the advantage in that it is free and online.3 While others have compared the SSDI and the NDI databases as well as various search methods, the accuracy of the SSDI versus direct follow-up has never been assessed.4,5 The purpose of this study was to validate the accuracy of the SSDI to determine whether it could be easily used as a source of death outcomes for researchers.

METHODS

After obtaining IRB approval, we identified a consecutive sample of patients presenting with syncope from an existing ED study database.6 Searching the SSDI, we took the first 30 patients who the SSDI listed as dead and the first 90 patients listed as alive after their ED presentation. The search was done at least one year after the initial ED visit to allow ample time for completion of the database. Although the database can be searched with incomplete information, for this study we used the patient’s complete SSN as well as full given name, surname and date of birth. If the patient was said to be dead, we requested the death certificate from the state in which they died (usually California) to confirm that it was a person from our study cohort. We then had a research coordinator blinded to the results of the SSDI search, complete direct follow-up. This was done by contacting the patients themselves, their families or their primary care physicians to determine their vital status and date of death. We used direct confirmation of death from these three sources as the criterion reference.

Statistical Analysis

We determined the sensitivity and specificity of the SSDI for determining death at six months, using direct follow-up as the criterion reference, and calculated 95% confidence intervals using 2×2 table and exact binomial distributions. The study was powered to have a 95% confidence interval width of 10% for the sensitivity.

RESULTS

All 30 patients deemed dead by the SSDI had confirmatory death certificates. There were a variety of causes of death in the selected cohort as illustrated in the Figure.
Figure

Causes of death reported on the 30 death certificates.

Of the 120 patients in the study we were able to contact 108 patient families or primary physicians to confirm vital status (90%). For the 108 patients with direct follow-up 20 were determined to be dead and 88 alive. Those dead at six months were more likely to be male (57%) and older [(mean age 83.9 years (95% CI 79.1 – 88.7) vs. 60.9 years (95% CI 56.4 – 65.4) for those alive)]. The sensitivity of the SSDI for those with completed direct follow-up was 100% (95% CI 91 –100%) with specificity of 100% (95% CI 98–100%) (Table). Of the 12 patients not able to be contacted through direct follow-up, the SSDI indicated that 10 were dead and two alive.
Table

Performance of the SSDI to Determine Death Outcomes

SSDIDeadAliveLost To Follow-Up
Dead20010
Alive0882

Sensitivity 100% (95% CI 91% – 100%)

Specificity 100% (95% CI 98% – 100%)

DISCUSSION

In this study we found that the readily available online SSDI was an accurate and facile database to determine death outcomes. It showed excellent sensitivity and specificity for those for whom we could complete direct follow-up, as well as information on patients who we could not contact, including 10 with confirmatory death certificates primary endpoint, 33.3% (95% CI 17% – 53%) of subjects who would ordinarily be reported as “lost to follow up” would be, in fact, positively identified by the SSDI as dead. The database is available online and does not require cost or special expertise. However, its use does require institutional review board permission since protected health information (PHI) elements are used to search. We were able to secure a HIPAA (Health Insurance Portability and Accountability Act of 1996) waiver to complete the necessary follow-up for this and other studies. The comparable federal database used successfully in previous research is the National Death Index (NDI). However, it takes a formal submission with a two-month response time and has associated costs. The fees for routine NDI searches consist of a $350.00 service charge plus $0.15 per user record for each year of death searched. For example, 1,000 records searched against 10 years would cost $350 + ($0.15 × 1,000 × 10) or $1,850. A recent study showed the two databases to have comparable accuracy.2 Other studies looking at the SSDI and NDI found results that were not as sensitive as ours. However, these studies compared databases and did not use direct follow-up as the criterion reference.4,5 One also used different search criteria.5 It is possible to search the SSDI database without a SSN. There were a variety of causes This can be done by name and other demographics. Studies not using the SSN in their searches found poorer sensitivity compared to when it was used, and investigators should beware of searches not using the SSN.4 Even compared to previous studies where the SSN was used, our sensitivity was better and may indicate that the maintenance and search tools of the database have improved over time.

LIMITATIONS

For our syncope cohort, this was a secondary analysis carried out up to two years after the index ED visit. Hence, we were not able to determine how current the online SSDI is, nor verify the governmental claim that it is completed within six months of a death. Several online database ancestry and genealogy websites incorporate the SSDI search engine, so researchers should take care to use only the native search site. We did not evaluate the engine at these secondary sites and cannot comment on their accuracy. Although our syncope study recorded accurate SSNs, this may not be the case for other ED-based studies, with a high proportion of undocumented subjects or frequent recording errors in demographic information.

CONCLUSION

Searching the online SSDI, with a correct SSN provides an accurate method to determine death as an outcome in clinical research studies. A majority of subjects ordinarily lost to follow-up can have their vital status determined.
  4 in total

1.  Derivation of the San Francisco Syncope Rule to predict patients with short-term serious outcomes.

Authors:  James V Quinn; Ian G Stiell; Daniel A McDermott; Karen L Sellers; Michael A Kohn; George A Wells
Journal:  Ann Emerg Med       Date:  2004-02       Impact factor: 5.721

2.  Comparison of National Death Index and World Wide Web death searches.

Authors:  H D Sesso; R S Paffenbarger; I M Lee
Journal:  Am J Epidemiol       Date:  2000-07-15       Impact factor: 4.897

3.  Incidence and prognosis of syncope.

Authors:  Elpidoforos S Soteriades; Jane C Evans; Martin G Larson; Ming Hui Chen; Leway Chen; Emelia J Benjamin; Daniel Levy
Journal:  N Engl J Med       Date:  2002-09-19       Impact factor: 91.245

4.  Use of the Social Security Administration Death Master File for ascertainment of mortality status.

Authors:  Enrique F Schisterman; Brian W Whitcomb
Journal:  Popul Health Metr       Date:  2004-03-05
  4 in total
  41 in total

1.  A combined-biomarker approach to clinical phenotyping renal dysfunction in heart failure.

Authors:  Jeffrey M Testani; Kevin Damman; Meredith A Brisco; Susan Chen; Olga Laur; Alexander J Kula; W H Wilson Tang; Chirag Parikh
Journal:  J Card Fail       Date:  2014-08-23       Impact factor: 5.712

2.  Impact of brain tumor location on morbidity and mortality: a retrospective functional MR imaging study.

Authors:  J M Wood; B Kundu; A Utter; T A Gallagher; J Voss; V A Nair; J S Kuo; A S Field; C H Moritz; M E Meyerand; V Prabhakaran
Journal:  AJNR Am J Neuroradiol       Date:  2011-09-01       Impact factor: 3.825

3.  The impact of shelter use and housing placement on mortality hazard for unaccompanied adults and adults in family households entering New York City shelters: 1990-2002.

Authors:  Stephen Metraux; Nicholas Eng; Jay Bainbridge; Dennis P Culhane
Journal:  J Urban Health       Date:  2011-12       Impact factor: 3.671

4.  Impact of metformin use on the prognostic value of lactate in sepsis.

Authors:  Jeffrey P Green; Tony Berger; Nidhi Garg; Alison Suarez; Yolanda Hagar; Michael S Radeos; Edward A Panacek
Journal:  Am J Emerg Med       Date:  2012-03-16       Impact factor: 2.469

5.  The role of secondary motor and language cortices in morbidity and mortality: a retrospective functional MRI study of surgical planning for patients with intracranial tumors.

Authors:  Jed Voss; Timothy B Meier; Robert Freidel; Bornali Kundu; Veena A Nair; Ryan Holdsworth; John S Kuo; Vivek Prabhakaran
Journal:  Neurosurg Focus       Date:  2013-04       Impact factor: 4.047

6.  Association of Serum Potassium with All-Cause Mortality in Patients with and without Heart Failure, Chronic Kidney Disease, and/or Diabetes.

Authors:  Allan J Collins; Bertram Pitt; Nancy Reaven; Susan Funk; Karen McGaughey; Daniel Wilson; David A Bushinsky
Journal:  Am J Nephrol       Date:  2017-09-02       Impact factor: 3.754

7.  Blood urea nitrogen/creatinine ratio identifies a high-risk but potentially reversible form of renal dysfunction in patients with decompensated heart failure.

Authors:  Meredith A Brisco; Steven G Coca; Jennifer Chen; Anjali Tiku Owens; Brian D McCauley; Stephen E Kimmel; Jeffrey M Testani
Journal:  Circ Heart Fail       Date:  2013-01-16       Impact factor: 8.790

8.  Effect of extracorporeal membrane oxygenation transport on short- and long-term survival in patients with acute respiratory distress syndrome.

Authors:  Desiree A Steimer; Omar Hernandez; Gerald Ogola; David P Mason; Gary S Schwartz
Journal:  Proc (Bayl Univ Med Cent)       Date:  2019-10-25

9.  Markedly improved overall survival in 10 consecutive patients with metastatic basal cell carcinoma.

Authors:  C Danial; B Lingala; R Balise; A E Oro; S Reddy; A Colevas; A L S Chang
Journal:  Br J Dermatol       Date:  2013-09       Impact factor: 9.302

10.  Variation by stage in the effects of prediagnosis weight loss on mortality in a prospective cohort of esophageal cancer patients.

Authors:  S Shen; J L Araujo; N K Altorki; J R Sonett; A Rodriguez; K Sungur-Stasik; C F Spinelli; A I Neugut; J A Abrams
Journal:  Dis Esophagus       Date:  2017-09-01       Impact factor: 3.429

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.