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Friday, July 21, 2017

Communist myths and lies about Walt Disney Exposed.





We've heard the myth that disney was a racist and an anti-semite. That he refered to the 7 Dwarves as an n-word pile, he discriminated against women and against blacks and jews etc.

And the truth has now come out at last. All ofthis, was nothing but a communist lie to smear Disney for his opposition to communism and nazism and for testifying at Huac.

Communists As I've said on my blog are all born liars. They can't do anything except lie.

Wal-Mart: The New Currency Police

Blogdog report. (INTERESTING ARTICLES THAT YOU MUST READ)

This is brought to you by Blogdog and X22report.com
 Some very good  stuff here. Enjoy!
Posted: 19 Jul 2017 09:57 AM PDT
Posted: 19 Jul 2017 09:55 AM PDT
Emails: Clinton Campaign Tried to Cover Up Its Russia Connect - YouTube


        

Donald Trump Junior's meeting with a Russian lawyer is now uncovering
alleged ties between Hillary Clinton's 2016 campaign and Russia. An
email released by Wikileaks shows the campaign worked to cover up its
opposition to sanctions against Russia, and its ties to a speech Bill
Clinton gave in Moscow for $500,000.
Posted: 19 Jul 2017 09:45 AM PDT
European Union Human Trafficking Epidemic Exposed! - YouTube


       



In this video, Luke Rudkowski of WeAreChange gives you the latest breaking news from Sicily which is currently the gateway of the refugee crisis. This is mainly due to Italy’s close proximity to Libya where they are seeing a lot of NGO boats rescuing refugees and migrants. They are bringing them from the coast of Libya to Italy, there are some unintended consequences to all of this. In this video we talk to the Mayor of Pozzallo, Sicily and with an economic migrant that came all the way from Nigeria.

Visit our MAIN SITE for more breaking news http://wearechange.org/

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Posted: 19 Jul 2017 09:42 AM PDT
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Russian Lawyer Who Met Donald Trump Jr. Survives Murder Plot Linked To US Senator McCain

By: Sorcha Faal, and as reported to her Western Subscribers

A shocking new Federal Security Service (FSB) report circulating in the Kremlin states that the 11 July murder-suicide of former Ministry of Internal Affairs Colonel Anatoly Solomakhin that the Investigative Committee (SLEDCOM) had originally attributed to a “lovers crime” has taken on “critical/significant” importance after a Foreign Intelligence Service (SVR) review of this officials emails revealed that he had received from a US Senate staffer of Senator John McCain a photograph showing the Moscow residence of Natalia Veselnitskaya—who is the Russian lawyer presently embroiled in a controversy involving her June 2016 meeting with Donald Trump Jr. [Note: Some words and/or phrases appearing in quotes in this report are English language approximations of Russian words/phrases having no exact counterpart.]







According to this report (and as we wrote about in our 12 July article titled “Russian Lawyer At Heart Of Trump Probe Revealed To Be James Comey’s “FBI Snitch”), Natalia Veselnitskaya was mysteriously allowed into the United States without a visa, in early 2016, under what American officials called “extraordinary circumstances”, and whom after her 9 June 2016 meeting with Donald Trump Jr., received a lucrative contract from the McCain Institute—with further evidence proving she had “known/associated” with Senator John McCain as far back as 2015, and as evidenced by her social meeting posting of her with him in his US Senate office.





24 December 2015 photograph taken by Natalia Veselnitskaya of Senator John McCain in his Washington D.C. office while he was meeting with Russian attorney Mark Feygin



The photograph found by the SVR in Colonel Anatoly Solomakhin’s emails showing this Russian lawyers residence, this report details, originated from William Browder on 6 June 2016—3 days prior to Natalia Veselnitskaya meeting Donald Trump Jr.—and who after the fall of the Soviet Union, became the largest foreign investor in Russia, but, in 2013, was sentenced by Russia, in absentia, to nine years in prison for tax evasion and for falsely claiming tax breaks for hiring disabled persons.

In now “total fear” of her life, this report continues, Natalia Veselnitskaya is now refusing to talk to FSB investigators with her only stating publically: “I’m ready to clarify the situation behind this mass hysteria – but only through lawyers or testifying in the US Senate as I can only assume that the current situation that has been heated up for ten days or so by now is a a very well-orchestrated story concocted by one particular manipulator – Mr. Browder. He is one of the greatest experts in the field of manipulating mass media.”





“Deep State” master mind William Browder lives in terror that President Trump will extradite him back to Russia



Critical to, also, note about the photograph of Natalia Veselnitskaya’s Moscow residence, this report notes, is that it contained what is called “GPS embedding” showing its exact location—which both the FSB and SVR state is “alarming”, as aside from it being found in the emails of Colonel Anatoly Solomakhin after it was sent out by William Browder, it was further discovered to have been forwarded by a known “Deep State” CIA operative named Kyle Parker (who has shut down his website Kyleparker.net) to former US Air Force Lieutenant General Robert P. “Bob” Otto—whom the Ministry of Foreign Affairs (MoFA), on 16 July, revealed to be one of the “main/central” “Deep State” operatives attempting to overthrow President Donald Trump.

With top US conservative radio commentator Rush Limbaugh (who has millions of listeners) now warning that the “establishment is unifying to get rid of Donald Trump”, this report continues, it bears noticing that the warmongering neo-conservatives who have abandoned President Trump are now joining forces with Hillary Clinton and the “Deep State”—and of whom, one of their top architects is Senator John McCain.









As President Trump had known as far back as 2015 that Senator John McCain would be one of his most ardent “Deep State” enemies (“I like people who weren't captured.”), this report stunningly adds, when US Justice Department attorneys attempted to question him this past weekend at his Phoenix, Arizona, home about his “involvement/association” with Natalia Veselnitskaya, Senator McCain attempted to slam a door on an FBI officer—but that “kicked back” causing it to hit his head and resulting in him being rushed to hospital for emergency brain surgery—with at least one President Trump loyalist, Republican National Committee committeewoman Diana Orrock, enthusiastically supporting a letter titled “Please Just Fucking Die Already” that says Senator McCain is a “murderous warmongering neocon who deserves to die”.

With forces loyal to President Trump fast closing in on Hillary Clinton, this report concludes, the American people are still being fed false “Russia hysteria” lies by their propaganda media, even though these “fake news” purveyors know full well how really close this master criminal is to being jailed—and whose vast money laundering scheme called The Clinton Foundation (that has laundered over $3 billion in illegal donations over the past 40 years) remains a virtual “honey pot” of criminal evidence to prosecutors worldwide.







Other reports in this series include:

Russia Stunned After Obama’s Private Interpreter Revealed To Be At Donald Trump Jr. Meeting

Hacked Government Emails Reveal “Fake News” Plot Destroying US Was Devised In Russia

Russian Lawyer Who Met Trump Son Had “Torrid Affair” With New York Times Reporter

Russian Lawyer At Heart Of Trump Probe Revealed To Be James Comey’s “FBI Snitch”

Enormity Of Hillary Clinton Penetration Into Russia Warned Could Topple US Government July 19, 2017 © EU and US all rights reserved. Permission to use this report in its entirety is granted under the condition it is linked back to its original source at WhatDoesItMean.Com.
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Nevada Bundy Trial - Day 2 of Court in Nevada - Ryan Payne OMA - AParker - 07/18/17 - YouTube







Nevada Bundy Trial - More Info - Judge Gloria Navarro shows her bias - AParker Update - 07/18/17









Nevada Court Outside & Dave Ward Call Update - Jamey Landin









The Video The Feds Don't Want You To See



   



Apr 13, 2015


Although no gunshots were fired, what happened at the Bundy Ranch was a shot fired across the bow using the most powerful weapon in the infowar, the camera. It captured the iconic moment of the people taking on an aggressive government tyranny, a snapshot that still reverberates one year later. We look at the lies, the spin and the reality of a federal government openly defying The Posse Comitatus Act as it threatened and brutalized citizens of the community. Although the sheriff did nothing to protect the community, neighbor stood with neighbor in true posse comitatus, the “power of the community”, to expel the federal army from the community.

Posted: 18 Jul 2017 07:30 PM PDT
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“If the Senate wishes to hear the real story, I will be happy to speak up and share everything I wanted to tell Mr. Trump,” she added, referring to the alleged economic crimes that Browder is suspected of in Russia. “I will share everything I know about this situation when millions came into my country and billions left it – and nobody paid taxes.”


Russian lawyer, Natalya Veselnitskaya, who's caught up in a scandal over her meeting with Donald Trump Junior, has spoken exclusively to RT. Mainstream media in the U.S. has been speculating over possible ties between the Kremlin and team Trump. Veselnitskaya says she fears for her safety and believes she was framed by a man who's lobbied for anti-Russian sanctions. READ MORE: https://on.rt.com/8i48
Posted: 18 Jul 2017 06:59 PM PDT
Posted: 18 Jul 2017 06:30 PM PDT
ENOUGH!_Free_The_Bundy_Family_And_14_Patriotic_Political_Prisoners - YouTube








Roger Stone's Epic Speech For Bundy Political Prisoners







Roger Stone speaks from the STAND! Event held in Las Vegas, Nevada on July 15, 2017. The event sought to bring a greater awareness to the political corruption suspending the rights of the Bundy family who have been held for expressing their First Amendment protected grievances for over 17 months.

Posted: 18 Jul 2017 06:15 PM PDT
Posted: 18 Jul 2017 05:15 PM PDT
New Report Concludes The US Empire Is Collapsing - Episode 1335b - YouTube



        



Check Out The X22 Report Spotlight YouTube Channel – https://www.youtube.com/channel/UC1rn...

Join the X22 Report On Steemit: https://steemit.com/@x22report

Get economic collapse news throughout the day visit http://x22report.com
Report date: 07.18.2017

Obamacare failed, it was being replaced with the same insurance, let it fail and then people will see the true nature of what this insurance ponzi scheme has created. New study and it shows America pays the most of insurance and it is dead last in providing health care to its people. Susan Rice and the creator of the dossier have backed out of testifying in front of congress. Legislation has been passed to go after human trafficking. US admits that NK does not have the capability to hit the US. Turkey close to signing deal with Russia for the S-400 missile system. Lebanon military preparing to take control of the border with Syria. The Pentagon releases new report, it concludes that the US empire is collapsing.

All source links to the report can be found on the x22report.com site.

Thursday, July 20, 2017

Respected Historical Figures Who Were Actually Terrible People




NOTE:WALT DISNEY WAS NOT A REAL ANTI-SEMITE OR RACIST. THAT IS A LIE PERPETUATED BY COMMUNISTS AND NAZIS. More details latter video


Emaline Hightower, enslaved, tortured and killed by the state of Massachusetts

The following was posted in an article several years back on my blog on the flaws of jury trials. I got a lot of email about it recently and decided to post it back up again. Its about Eamline HighTower, a woman wrongfuly diagnosed with Asperger's syndrome and who was kileld by the liberals of Massachusetts.

HER CRIME: She was bullied by everyone. 

In the state of Massachusetts in 2006, Emaline HighTower, a recent high school graduate who had plans to attend university and seek a career either as an architect or a lawyer. Her plans for her future were horribly and tragically dashed to bits by the State of Massachusetts which regarded her as mentally incompetent. Why? Because Emaline HighTower was diagnosed by a doctor with having Asperger’s syndrome and Bipolar disorder. The diagnosis of Asperger’s came about because she was teased and ostracised at school and even disliked by teachers. The Bipolar label came from school transcripts that said that she argued frequently with teachers. But they fail to mention that the arguments came as a result of the teachers refusing to do their jobs, help her or prevent persecution against her that distracted her from learning.
One other thing that psychiatrists ignored was that she was a bright young woman with a b average (could have been better had the school done its job and enforced rules against harassment and so on.) and that she had been employed after school and during the summer. She was saving money to go to University or College. She was also a councilor at a summer camp for foster children. But they omitted that and claimed that she was mentally retarded and had no social skills, was disorganized and disheveled.
In addition the doctors claimed she had poor judgement because of two reasons, 1. She was deciding whether or not to become and architect or lawyer. They claimed that by not deciding one at the bat she was incompetent. I have heard the same thing happen to a friend of mine who had the same allegation made because he told a doctor in one appointment a year previous he wanted to become a sous chef while in another one months later he wanted to become and arc-welder. Well, maybe its not the patient who is out of line and in need of better judgment.
Emaline’s parents also were not very supportive either. Although they were loving and caring at first, they were not pleased with how things were going for her in High School. In fact they blamed her for why they and they school failed to bring her up properly. Despite making many accomplishments they had no problem with throwing that away. They, along with Emaline’s guidance counselor decided to force her into the mental health system.
Emaline’s parents also made things worse by making her emotionally stirred up during a couple of evaluation sessions at the outpatient clinic they forced her to go to. They forced her by legally taking possession of her bank account and savings and threatening to get rid of it if she didn’t obey. On the day of one appointment her father assaulted her and called her a stupid good for nothing. She arrived at the doctors emotionally wound up and they said they wanted the doctors to see what she was like. The doctors ignored allegations of blackmail and abuse by the parents and instead suggested that she has emotional problems and needed to see a therapist for distress tolerance training. The doctors ignored what had happened.
emaline was forced to take powerful Psychotropic meds that caused her to feel weak and sluggish other times making her feel agitated. Meds such as seroquel, Risperdal and Prozac which she would be proscribed made her feel worse. She was unable to hold onto her job and was fired, she had a car accident and instead of pointing to the meds as the source of the problems, doctors blamed her saying her bipolar would not let her work anymore. REALLY?
Despite threats parents with advice from the doctors decided to get rid of her money and property. Doctors declared that despite a glowing resume and a relationship with a High School sweetheart and the two being awarded during the prom as most likely to marry, she would never be able to work and marry. Doctors even claimed she should have her tubes tied so she wouldn’t pass her supposed mental illness of Aspergers and bipolar on to her offspring. Just like Hitler’s Eugenics.
There was another reason why as well. At the time, Governor Mitt Romney had just signed in the socialist Massachusetts health care bill into law requiring residents to purchase health insurance or pay a 1000$ fine. She was ordered to have her entire assets taken away so she could qualify for free health care benefits.
Before they could do anything however, Emaline rented a car with money she could procure and attempted to flee to New Hampshire. Her parents called the police and claimed she was going to New Hampshire to commit suicide. It lead to a high speed pursuit on I-95 by the Massachusetts state police and the Rockingham county sheriff. She was blocked off at the toll both near Seabrook and fled on foot but was caught. She was then taken to a local hospital. Despite protests doctors concluded it would be best for her to be confined to the state of Massachusetts. She was taken from the Hospital in Exeter by ambulance to Solomon Mental health center and discharged into the custody of her parents.
An involuntary commitment hearing was soon underway. Emaline was defended by a legal aid since her money was gone and it was a jury hearing. Despite pleas by Emaline and an empassioned plea by her legal aid jurors took little time in declaring Emaline mentally incompitent and approving her for involuntary commitment and emergency guardianship under her parents. The jurors were made up primarily of white liberals who later commented that it is for her own good that she be forced to participate in programs and forgo a career or university to do so. One juror commented that She looked peculiar and unusual and that she felt someone like her would benefit being cared for by the state rather than go on her own.
The judge was in full agreement. Emaline remembered that human to cockroach look given to her by the judge who stated that she was in flat out denial of her disability and that she was an irresponsible woman. She needed to take responsibility for her mental illness, remain in Massachusetts and participate in programs that are designed to help her. When she tried to speak up the judge threatned to hold her in contempt of court and lock her away for a long time in an institution. The judge stated she was not right in the head based on the opinions of experts and that the state in its infallible judgement was in agreement.
Under the conditions of her commitment and guardianship, she was forbiddent to leave the state, she was forced to take meds that made her weak and sick, she was forbiddent to work at certain jobs or attend university. This did not matter because with a psychiatric record and no money to attend university she couldn’t get thsoe jobs and to make matters worse, Romneycare drove most of the jobs out of the state anyway. From that point on she was unemployed and never worked again. She was also forced to reside in a group home in Topsfield Massachusetts for mentally challenged adults. She was the only one there who could dress herself and feed herself. In 2009 she took her own life when attendants at the group home werent looking by running away and sliting her wrists in the woods.
Emaline could have been a taxpayer, a contributor, that would also lead to MORE jobs even but a liberal jury and judge decided that the state knew better and that control is preferable to prosperity. Emaline once had a career, a boyfriend, self respect, self esteem, dignity, freedom. But liberals hate those things and they had to go.


A COMMENT: I used to say “Good ole A**achusetts, home of S***t Romney (who was going to “wage war” against autism) and the Judge Rottenberg Center”. Now I don’t judge a person by one thing he did… I just judge that part of him. New England is also full of guardianships (just check out NASGA). I don’t know about the liberal thing though. Conservatives like Romney can be just as bad.

Wednesday, July 19, 2017

EXPOSED: Insider Proves CAIR is a Terror Group! | Louder With Crowder

Socialist security and psychiatrists collecting data on the homeless and income

Clinicians routinely ask indigent new clients whether they receive Supplemental Security Income (SSI) payments or Social Security Disability Insurance (DI) benefits, and this information is incorporated into treatment planning. Using questionnaire responses by 7,220 homeless people with mental illness, we first determined what demographic and clinical factors were associated with reporting receipt of SSI or DI benefits and not being in the SSA database and, second, what factors were associated with reporting not receiving benefits but have SSA records indicating otherwise. The low agreement between client reports and administrative records suggests that clinicians should verify the information provided by clients, especially those who are psychotic or medically ill, because that information is often inaccurate. -Marc I. Rosen, MD, an Associate Professor of Psychiatry at the Yale University School of Medicine

 This comes from the social security website. It was written mostly by Dr Marc Rosen of Yale and demonstrates how intrusive and inefficient our government is, particularly social security.


Summary

Clinicians routinely ask people with disabling psychiatric illnesses whether they receive Supplemental Security Income (SSI) or Social Security Disability Insurance (DI) benefits. We looked at self-reported receipt of SSI or DI by 7,220 homeless people with mental illness and compared those self-reports with information in Social Security Administration (SSA) databases. Overall agreement between the two sources was only fair (kappa = 0.60), and 41.3 percent (934/2,257) of clients reporting receipt of SSI or DI were not in SSA's databases. In multivariate analyses, people reporting receipt of SSI or DI that is unconfirmed by SSA administrative records had disproportionately more severe psychotic and medical illnesses than confirmed nonrecipients. Among recipients identified by SSA, those who did not report receiving SSI or DI were more likely to claim, apparently incorrectly, that they instead received Social Security retirement benefits. Clinicians should verify basic demographic information provided by clients, especially those who are psychotic or medically ill, because that information is often inaccurate.

Introduction

People disabled by psychiatric illness depend on Supplemental Security Income (SSI) and Social Security Disability Insurance (DI) benefits to meet their basic needs. Disability payments provide critical financial support in preventing homelessness among the indigent (Sosin and Grossman 1991) and contribute to improved outcomes when homeless mentally ill people receive treatment (Rosenheck, Frisman, and Gallup 1995). Clinicians routinely ask indigent new clients if they receive SSI or DI, and this information is incorporated into treatment planning.
Given the importance of disability payments to people disabled by psychiatric illnesses, it is ironic that no prior studies have been done on the validity of self-reported SSI/DI status among the mentally ill. Some studies have described the low reliability (Jenkins and others 2005) and accuracy (Pedace and Bates 2001; Card, Hildreth, and Shore-Sheppard 2004; Jackle and others 2004) of self-reported income among poor people, but there are no studies to inform clinicians by describing specific psychiatric and medical characteristics of people whose self-reported SSI/DI status is inaccurate. The underreporting of symptoms and the inconsistency of information provided are considerable when people with substance abuse (Stephens 1972; Rounsaville and others 1981) or psychiatric disorders (Strauss, Carpenter, and Nasrallah 1978) are asked to describe their psychiatric history and symptoms. However, there is little data concerning whether homeless people with mental illness inaccurately report basic demographic information and, specifically, whether they accurately report receipt of SSI and DI.
There are several potential explanations for why clients might report SSI/DI receipt inaccurately. The misreporting of SSI/DI benefits may reflect neuropsychological deficits. Inaccurate self-reports might track related constructs like the degree of knowledge about one's medical care, which is lower in people with cognitive deficits and reading difficulties (Baker and others 1995; Kalichman and others 2000; Baker and others 2002). Another possibility is that inaccurate self-reported income is influenced by subtle social pressures to underestimate income. Evidence for the underreporting of income by poor people is that families reporting low income in the Labor Department's Consumer Expenditure Survey reported much higher expenditures, and low income and high expenses are difficult to reconcile (Jencks 1997).
The first goal of this study, conducted in 2004, was to document the degree of agreement between a client's self-report that he or she received SSI or DI benefits and SSA administrative records of whether the person was receiving benefits. We then characterized those clients whose self-reported SSI/DI status was not consistent with SSA administrative records using comprehensive clinical data, self-reported SSI/DI status, and SSA administrative data from participants in a large study of individuals who were homeless and mentally ill. This study first determined what demographic and clinical factors were associated with self-reports of SSI/DI receipt and not being in the SSA database; it then identified what factors were associated with reporting not receiving benefits but having SSA records that indicate otherwise.

Methods

Participants and Sampling

Participants were enrolled in the ACCESS (Access to Community Care and Effective Services and Supports) demonstration study, a study of service delivery strategies for homeless people with mental illness (Randolph and others 2002). In ACCESS, agencies in 18 cities offered Assertive Community Treatment (Stein and Test 1980) to 100 participants per year for 4 years. Participants were eligible if they were homeless, had a severe mental illness, and were not engaged in psychiatric treatment at the time of enrollment. Eligible participants were identified and offered case management services. After providing informed consent, a comprehensive set of assessments was completed.

Data Collection

Research assistants using structured interviews collected data. Basic demographic data included age, sex, children in residence, race and ethnicity, years of education, longest full-time job, and veteran status. Homelessness was characterized by age at the first episode of homelessness, number of times homeless, lifetime number of years homeless, and years living in the current city of residence. Legal status questions included questions about having ever been convicted or incarcerated. History of arrests (McClellan and others 1980) and victimization (Lehman 1988) within the last 60 days were also documented. Self-reported data concerning the presence or absence of 17 medical disorders and whether the client was taking prescribed medication were also recorded. Other self-reported symptoms quantified social support (Vaux and Athanassopulou 1987; Lam and Rosenheck 1999), service utilization (Rosenheck and others 2002), a history of conduct disorder (Helzer 1981), and stability of family of origin (Kadushin, Boulanger, and Martin 1981). Participants reported the number of days in the last 60 that they had been housed and the number of days in the last 30 that they had been employed. Overall quality of life was also assessed by the question "Overall, how do you feel about your life right now?" on a scale ranging from 1 (terrible) to 7 (delighted) (Lehman 1988).
Psychiatric diagnoses were those of the admitting clinicians on the case management teams. Psychiatric measures were derived from the Addiction Severity Index (ASI) psychiatric composite problem index, a depression scale derived from the Diagnostic Interview Schedule (Robins, Helzer, and Croughan 1981), and a psychotic symptoms scale derived from the Psychiatric Epidemiology Research Interview (Dohrenwend 1982). Depression was quantified as the number of symptoms of depression out of 5 endorsed by the client, and interviewer ratings of psychosis were derived from 13 items ranked on a 0–4 Likert scale.
Substance abuse was assessed by questions drawn from the Addiction Severity Index (McClellan and others 1980), and a referring clinician rated the patient's substance use on 5-point clinical rating scales anchored by 1 (abstinence) and 5 (severe dependence) (Mueser and others 1995).
Service utilization was measured by questions concerning receipt of six types of services: assistance from a public housing agency, mental health services, general health care, substance abuse services, public income support, and vocational rehabilitation. The number of services received was calculated. Finally, the research assistant rated the reliability of the participant's data on a 5-point scale.

Income Data

Participants were asked to record how much income they had received during the past month from a list of possible sources. Participants were also asked to record earnings for the current month, even if the money had not yet been received. The sources listed included earned income, Social Security retirement benefits, Supplemental Security Income, Social Security Disability Insurance, social welfare benefits from state or county governments such as general welfare and Aid to Families with Dependent Children (AFDC), and nine other potential sources of income. Participants were asked if there was anyone who "handles your money for you (like a payee or guardian)" and, if so, whether the client's checks were mailed directly to this person.
SSA's Office of Research, Evaluation, and Statistics provided client-level data on beneficiary status by cross-matching Social Security numbers of ACCESS participants with those in SSA's Master Beneficiary Record and Payment History Update System, which record payments from the DI program, and the Supplemental Security Record, which records payments from the SSI program. SSA provided data only when its files contained a corresponding Social Security number verified by date of birth. SSA's algorithm for determining whether there is a cross-match—the Enumeration Verification System—did not require the supplied dates of birth to exactly match those in SSA's databases. A Social Security number match was verified when the years of birth agreed or when the months agreed and the years differed by one year.

Data Analysis

The purpose of the study was to determine whether participants could distinguish SSI from DI from other sources of income. We were not concerned with whether participants could distinguish SSI from DI, so receipt of SSI or DI was considered a single measure (SSI/DI). Kappa was calculated to characterize the overall agreement between self-reported and SSA verification of receipt of SSI/DI. The kappa statistic describes the agreement between two dichotomous variables with a range of zero (no agreement) to 1 (perfect agreement). Then, two similar analyses were conducted. The first analysis determined demographic and clinical factors that differentiated people who reported receiving SSI/DI but were not in the SSA database from those who did not report receiving SSI/DI and were also not in the SSA database. Chi-square and t-test comparisons between the two groups were conducted on a broad range of measures. Measures that differentiated the two groups at p<.05 were entered into a logistic regression, and backward elimination was used to identify the most salient correlates at p<.01. A similar approach was employed to compare two other groups: those reporting that they did not receive SSI/DI but in fact were in the SSA databases as receiving benefits and those who reported receiving SSI/DI and were confirmed by SSA records.

Results

Sampling and Overall Agreement Between Self-Report and SSA Databases

Altogether, 16 percent of participants ([934 + 193]/7,220) reported SSI/DI status that was not verified by the SSA database (Table 1). The majority of the discordant reports were from participants who reported having received SSI/DI but were not in the SSA database (13 percent of the total sample) and 3 percent who reported not having received SSI/DI but in fact were in the SSA database. Kappa was 0.60, indicating moderate agreement between self-reports and SSA records (Cicchetti and Sparrow 1981).
Table 1. Agreement on SSI/DI receipt between self-reports and SSA records
Receipt of SSI/DI benefits verified by SSA records? Self-reported receipt of SSI/DI benefits?
No Yes
No 4,770 934
Yes 193 1,323
SOURCE: Self-report data were collected in the ACCESS demonstration and were cross-matched with the Social Security Administration's Master Beneficiary Record, Payment History Update System, and the Supplemental Security Record.
NOTES: The data include 7,220 observations.
Kappa = 0.60

Sample Characteristics by Self-Reported and SSA-Verified SSI/DI Status

The sample characteristics shown in Table 2 indicate, as expected, relatively long durations of homelessness and high rates of psychiatric comorbidity and substance abuse. All the measures in Table 2, within the groups of those who had and had not received SSI or DI according to SSA, significantly differentiated the participant group whose self-report was concordant with SSA from participants whose self-report was discordant with SSA's administrative records.
Table 2. Baseline characteristics, by SSI/DI status according to SSA records and self-reports
Characteristic Mean or percentage (standard deviation) of those with SSI/DI according to SSA Mean or percentage (standard deviation) of those without SSI/DI according to SSA
Self-report concordant with SSA (n = 1,323) Self-report discordant with SSA (n = 193) Self-report concordant with SSA (n = 4,770) Self-report discordant with SSA (n = 934)
Demographic
Age (years) 40.4(9.5) 43.6(13.7) *** 37.5(9.4) 40.3(9.2) ***
Sex (male) 67.0% 67.7% 61.9% 56.5% **
African American 51.2% 37.4% *** 44.9% 53.2% ***
Hispanic 3.1% 5.1% 6.3% 3.2% ***
English first language 3.9% 7.2% * 6.5% 4.2% **
Years of education 11.7(2.6) 11.5(3.0) 11.7(2.5) 11.1(2.6) ***
Vocational
Veteran 22.8% 26.8% 18.7% 13.2% ***
Years at longest full-time job 3.5(4.7) 4.7(7.6) ** 3.6(4.7) 2.4(4.4) ***
Days working in last 30 0.9(3.5) 1.2(4.3) 2.4(5.7) 0.7(3.2) ***
Years homeless 3.5(5.3) 3.3(5.9) 3.0(4.8) 3.9(6.0) ***
Days housed in last 60 12.8(18.3) 9.9(16.5) * 11.3(17.1) 12.6(18.0) **
Days incarcerated in last 60 1.3(5.9) 2.6(10.0) ** 2.2(8.3) 1.4(6.9) **
Income
Percentage reporting receipt of—
Social Security retirement income 3.7% 29.2% *** 0.6% 1.0%
Food stamps 35.2% 22.1% *** 48.9% 41.7% ***
Other social welfare benefit 4.5% 9.2% ** 23.7% 7.6% ***
Number of types of benefits received 0.5(0.6) 0.7(0.7) *** 0.8(0.8) 0.6(0.7) ***
Percentage reporting someone else receives and manages check 29.3% 21.2% * 4.4% 27.6% ***
Psychiatric
Schizophrenia 51.5% 52.8% 27.9% 53.9% ***
Bipolar 22.1% 19.5% 20.4% 17.2% *
Major depression 33.9% 31.8% 56.7% 32.6% ***
Lifetime psychiatric hospitalizations 8.5(12.3) 6.4(12.2) ** 3.0(6.2) 7.8(11.4) ***
Observer-rated psychosis 11.6(7.9)% 12.3(8.8)% 10.0(7.8)% 12.8(8.3)% ***
Depression symptoms (number out of 5) 2.7(2.1) 2.5(2.1) 3.5(1.9) 2.7(2.1) ***
Substance use
Clinician-rated alcohol use 2.2(1.3) 2.0(1.2) * 2.2(1.3) 2.2(1.3)
Clinician-rated drug use 2.1(1.4) 1.8(1.2) ** 2.0(1.3) 1.9(1.3)
Years of alcohol use 5.7(8.7) 4.9(9.0) 5.9(8.4) 4.6(7.8) ***
Years of cannabis use 5.9(8.6) 4.0(8.0) ** 6.0(8.2) 5.3(8.4) *
Years of cocaine use 1.8(4.5) 1.2(3.8) 2.0(4.5) 1.3(3.7) ***
Medical
HIV seropositive 4.8% 3.1% 2.5% 5.2% ***
Percentage diagnosed with seizure disorder 10.1% 10.3% 7.2% 11.6% ***
Baseline treatment in last 60 days
Percentage receiving psychiatric Rx 70.8% 60.8% ** 62.4% 71.4% ***
Percentage receiving substance abuse Rx 30.3% 23.6% 33.8% 28.5% **
Number of services accessed 2.4(1.0) 1.6(1.1) *** 1.6(1.1) 2.3(0.9) ***
SOURCE: Self-report data were collected in the ACCESS demonstration and were cross-matched with the Social Security Administration's Master Beneficiary Record, Payment History Update System, and the Supplemental Security Record.
* Significant difference from corresponding SSA concordant group at p<.05.
** Significant difference from corresponding SSA concordant group at p<.01.
*** Significant difference from corresponding SSA concordant group at p<.001.
Comparison Among Clients not Receiving SSI/DI According to SSA: Participants Self-reporting Receipt of SSI/DI versus Those not Self-reporting Receipt. In multivariate analyses, the measures that significantly (p<.01) distinguished the 934 individuals reporting receipt of SSI/DI (without SSA verification) from the 4,770 not reporting receipt (in concordance with SSA records) are listed in Table 3. The 934 participants with unverified reports of receiving SSI/DI were more impaired in several realms. They had disproportionately less education and employment and were disproportionately more likely to have been diagnosed with schizophrenia, human immunodeficiency virus (HIV), and seizure disorders.
Table 3. Logistic regression analysis of group who reported receiving SSI/DI among the sample of those without benefits per SSA records
Measure Odds ratio 99 percent confidence limits
Demographic, vocational, and housing
Age 1.05 1.03–1.06 ***
English first language 0.55 0.32–0.96 *
Years of education 0.92 0.88–0.97 ***
Veteran 0.6 0.42–0.84 ***
Years at longest full-time job 0.91 0.88–0.94 ***
Days working in last 30 1.01 1.01–1.02 ***
Days housed in last 60 0.92 0.89–0.95 ***
Days incarcerated in last 60 0.98 0.96–0.99 **
Psychiatric
Schizophrenia 1.54 1.19–2.01 ***
Major depression 0.66 0.51–0.86 ***
Number of psychiatric hospitalizations 1.05 1.04–1.07 ***
Observer-rated psychosis 1.03 1.02–1.05 ***
Depression symptoms (number out of 5) 0.88 0.83–0.94 ***
Substance Use
Years of alcohol use 0.98 0.96–0.99 ***
Years of cocaine use 0.96 0.93–1.0 *
Medical
HIV status 1.85 1.02–3.34 *
Seizure 1.58 1.06–2.36 *
Other
Other social welfare benefit (yes or no) 0.12 0.07–0.20 ***
Number of types of benefits received 0.77 0.62–0.96 *
Self-report that someone else receives and manages check 7.3 5.2–10.3 ***
Number of services accessed in last 60 days 2.62 2.32–2.96 ***
SOURCE: Self-report data were collected in the ACCESS demonstration and were cross-matched with the Social Security Administration's Master Beneficiary Record, Payment History Update System, and the Supplemental Security Record.
NOTES: Total sample size is 5,407; 934 reported receiving SSI/DI but were shown as not receiving benefits in the Social Security Administration's records.
Somers' D = 0.91.
* Significant difference from group who reported receiving SSI/DI at p<.01 by pairwise comparison.
** Significant difference from group who reported receiving SSI/DI at p<.001 by pairwise comparison.
*** Significant difference from group who reported receiving SSI/DI at p<.0001 by pairwise comparison.
Not all functional indices were worse among those with unverified claims. Within this population of homeless people, those who had unverified claims were likely to have used alcohol and cocaine for fewer years and to have been incarcerated for fewer days in the preceding 60 than were those who did not claim receipt of SSI/DI. Self-reported depressive symptoms and a diagnosis of major depression were associated with a lower likelihood of making an unconfirmed claim of receiving SSI/DI.
Benefit status differed between the two groups. Participants with unverified claims of receiving SSI/DI were more likely to report having a payee than were those who did not claim benefit receipt. Those with unverified claims also had received fewer benefits overall.
Comparison Among Clients Receiving SSI/DI According to SSA: Participants not Self-reporting Receipt of SSI/DI versus Those Self-reporting Receipt. Participants who did not report receiving SSI/DI in contradiction to SSA's records that they actually had received benefits were more likely to have reported receipt of Social Security retirement benefits and other social welfare benefits (Table 4). In a post hoc analysis, we considered the possibility that clients who thought they received Social Security retirement benefits were disproportionately aged 62 or older, and they were. Altogether, 17.4 percent (34/195) of participants who inaccurately reported nonreceipt of SSI/DI were aged 62 or older, but only 3 percent (39/1,322) of those with concordant reports of receiving SSI/DI were aged 62 or older (chi-square 77.8, p<.0001).
Table 4. Logistic regression analysis of group who denied receiving SSI/DI among the sample of those with benefits per SSA records
Measure Odds ratio 99 percent confidence limits
Days incarcerated in last 60 1.03 1.00–1.06 *
Clinician-rated alcohol use 0.82 0.68–1.0 *
Social Security retirement income 17.45 9.10–33.43 ***
Food stamps 0.53 0.30–0.91 *
Other social welfare benefit (yes or no) 5.54 2.31–13.29 ***
Number of services accessed in last 60 days 0.34 0.26–0.45 ***
SOURCE: Self-report data were collected in the ACCESS demonstration and were cross-matched with the Social Security Administration's Master Beneficiary Record, Payment History Update System, and the Supplemental Security Record.
NOTES: Total sample size is 1,516; 193 reported not receiving SSI/DI but were shown as receiving benefits in the Social Security Administration's records.
Somers' D = 0.87.
* Significant difference from group who denied receiving SSI/DI at p<.01 by pairwise comparison.
** Significant difference from group who denied receiving SSI/DI at p<.001 by pairwise comparison.
*** Significant difference from group who denied receiving SSI/DI at p<.0001 by pairwise comparison.

Discussion

Fully 41 percent (934/2,257) of clients who reported receiving SSI/DI benefits did not receive them according to SSA. Clients whose report of receiving SSI/DI was unconfirmed were more likely to have conditions associated with neurocognitive impairment: they were disproportionately psychotic, HIV-positive, diagnosed with a seizure disorder, and occupationally impaired. Clients who misreported basic demographic information may also not have understood the benefits they receive, the question asked, or how to translate their knowledge into a correct response. The clients whose report of receiving SSI/DI was not confirmed used cocaine and alcohol for disproportionately fewer years, but this finding is not inconsistent with a cognitive explanation for anomalous self-reports—some studies indicate that within populations of people with mental illness, those who use drugs may actually be higher functioning (Ries and others 2000).
Cognitive problems also may have been a factor when participants who had received SSI/DI according to SSA did not report receiving those benefits. These clients appear to have been confused by different types of "social" benefits and apparently indicated receipt of Social Security retirement benefits and social welfare benefits instead of the actual SSI/DI they were receiving.
The overreporting of SSI/DI receipt relative to administrative databases in this homeless, mentally ill population is in contrast to the underreporting of income among poor people generally (Hotz and Scholz 2002). For example, validation of data from the Survey of Income and Program Participation suggested that self-report responses underestimated SSI receipt by as much as 23 percent (Marquis and Moore 1990). The responses of homeless people with mental illness may be affected by neurocognitive difficulties that are less salient in poor people who are not defined by homelessness and mental illness.
One clinical implication of the problematic self-reports is that when a client reports receiving SSI or DI, the assertion should be verified. The client can be asked the amount of the check or how the check came to be awarded. Clients should also be questioned to make sure the check referred to is an SSI or DI check and not another kind of payment. Information about benefit receipt can be obtained when another person receives the benefit check or by examining the clients' Medicare card. Primary Medicare beneficiaries who are too young to qualify for retirement benefits presumably receive DI.
The low agreement between self-report and SSA databases among the homeless, mentally ill population has other far-reaching implications. Data concerning sources of income are collected in the U.S. Census and several surveys specifically targeting poor people (Hotz and Scholz 2002). Accurate data about use of public support payments is crucial to assessing the impact of policies such as welfare reform (Primus and others 1999) and changes in eligibility for SSI and DI (Watkins, Wells, and McLellan 1999). In health services research, self-reported Social Security numbers and dates of birth are frequently used to cross-match data from people with known clinical characteristics with another database of interest (Friedman and others 1996; Bach and others 2002). A systematic bias is unwittingly introduced to data when a failure to cross-match is not random.
Some clients who reported receiving SSI/DI but did not appear in SSA databases probably did not cross-match with SSA databases because they provided inaccurate Social Security numbers (SSNs) or inaccurate dates of birth. In the 1996 Survey of Income and Program Participation, a full 16 percent of the SSNs provided by survey participants appeared to be inaccurate because they did not match SSNs in the Summary Earnings Record (Huynh, Rupp, and Sears 2002). One reason to suspect that inaccurate SSNs were provided is that the 1,323 participants whose reported receipt of SSI/DI was validated by SSA administrative records were similar to the 934 whose self-reported receipt was not validated (Table 2). For instance, both groups included high proportions of clients who reported that someone else received their check and managed it for them (29.3 percent and 27.6 percent, respectively). The clients who are discordant with SSA records could have some sort of non-SSA fiduciary arrangement, but the 27.6 percent reporting that someone else receives their check is consistent with other estimates that approximately a third of adults under the age of 65 who receive SSA payments based on a psychiatric disability have been assigned a payee to manage their funds (Social Security Administration 2001a, Table 7; and 2001b, Table 32).
Social Security numbers have high sensitivity and specificity in validating death against the National Death Index (Williams, Demitrack, and Fries 1992), and SSA databases are highly regarded (Waldron 2001). Yet underreporting of deaths to SSA does occur and is not random—underreporting of death information provided to SSA by third parties (such as state vital record systems) is less likely when the deceased was a woman, black, younger, unmarried, or from the South (Curb and others 1985; Wentworth, Neaton, and Rasmussen 1983; Boyle and Decoufle 1990).
Benefits for the Supplemental Security Income and Disability Insurance programs provide a vital safety net for clients disabled by psychiatric disorders. It is important that each individual's benefit status be accurately determined for that client's clinical care and that studies dependent on demographic information provided by impaired clients be independently verified so that use of the Social Security safety net is accurately described.

References

Bach, P.B., E. Guadagnoli, D. Schrag, N. Schussler, and J.L. Warren. 2002. Patient demographic and socioeconomic characteristics in the SEER-Medicare database: Applications and limitations. Medical Care 40(8 Suppl): 19–25.
Baker, D.W., J.A. Gazmararian, J. Sudano, M. Patterson, R.M. Parker, and M.V. Williams. 2002. Health literacy and performance on the Mini-Mental State Examination. Aging and Mental Health 6(1): 22–29.
Baker, D.W., R.M. Parker, M.V. Williams, W.S. Clark, and J. Nurss. 1995. The relationship of patient reading ability to self-reported health and use of health services. American Journal of Public Health 87(6): 1027–1030.
Boyle, C.A., and P. Decoufle. 1990. National sources of vital status information: Extent of coverage and possible selectivity in reporting. American Journal of Epidemiology 131(1): 160–168.
Card, D., A.K.G. Hildreth, and L.D. Shore-Sheppard. 2004. The measurement of Medicaid coverage in the SIPP: Evidence from a comparison of matched records. Journal of Business and Economic Statistics 22(4): 410–420.
Cicchetti, D.V., and S.A. Sparrow. 1981. Developing criteria for establishing interrater reliability of specific items: Applications to assessment of adaptive behavior. American Journal of Mental Deficiency 86(2): 127–137.
Curb, J.D., C.E. Ford, S. Pressel, M. Palmer, C. Babcock, and C.M. Hawkins. 1985. Ascertainment of vital status through the National Death Index and the Social Security Administration. American Journal of Epidemiology 121(5): 754–766.
Dohrenwend, B.P. 1982. Psychiatric Epidemiology Research Interview (PERI). New York: Columbia University, Social Psychiatry Research Unit.
Friedman, L.A., J. Hidalgo, L.M. Bartnyska, and B.J. Turner. 1996. The severity classification system for acquired immunodeficiency syndrome hospitalizations: Association with survival after discharge and inpatient resource use. Medical Care 34(2): 178–189.
Helzer, J.E. 1981. Methodological issues in the interpretations of the consequences of extreme situations. In Stressful life events and their contexts, ed. B.S. Dohrenwend and B.P. Dohrenwend, 108–129. Monographs in Psychosocial Epidemiology 2, ed. B.Z. Locke and A.E. Slaby. New York: Prodist (Neale Watson Academic Publications).
Hotz, V. Joseph, and John Karl Scholz. 2002. Measuring employment and income for low-income populations with administrative and survey data. In Studies of welfare populations: Data collection and research issues, ed. Robert A. Moffitt, Constance Forbes Citro, and Michele Ver Ploeg, 275–315. Washington, DC: National Academy Press.
Huynh, M., K. Rupp, and J. Sears. 2002. The assessment of Survey of Income and Program Participation (SIPP) benefit data using longitudinal administrative records. Working Paper No. 238, Census Bureau, Washington, DC.
Jackle, A., E. Sala, S.P. Jenkins, and P. Lynn. 2004. Validation of survey data on income and employment: The ISMIE experience. ISER Working Paper No. 2004-14, Institute for Social and Economic Research, University of Essex. Available at http://www.iser.essex.ac.uk/pubs/workpaps/pdf/2004-14.pdf (accessed October 24, 2005).
Jencks, C. 1997. Foreword to Making ends meet: How single mothers survive welfare and low-wage work, by K. Edin and L. Lein. New York: Russell Sage Foundation.
Jenkins, S.P., P. Lynn, A. Jackle, and E. Sala. 2005. Methods Briefing 4—Improving survey measurement of income and employment (ISMIE). Institute for Social and Economic Research. .
Kadushin, C., G. Boulanger, and J. Martin. 1981. Long term stress reactions: Some causes, consequences, and naturally occurring support systems, vol. 4. Legacies of Vietnam. U.S. House of Representatives, Committee on Veterans Affairs, Committee Print No. 14. Washington, DC: U.S. Government Printing Office.
Kalichman, S.C., E. Benotsch, T. Suarez, S. Catz, J. Miller, and D. Rompa. 2000. Health literacy and health-related knowledge among persons living with HIV/AIDS. American Journal of Preventive Medicine 18(4): 325–331.
Lam, J.A., and R. Rosenheck. 1999. Social support and service use among homeless persons with serious mental illness. International Journal of Social Psychiatry 45(1): 13–28.
Lehman, A.F. 1988. A quality of life interview for the chronically mentally ill. Evaluation and Program Planning 11: 51–62.
Marquis, K.H., and J.C. Moore. 1990. Measurement errors in SIPP program reports. Proceedings of the U.S. Bureau of the Census 1990 Annual Research Conference, 721–745, Department of Commerce, Washington, DC.
McClellan, T., L. Luborsky, G.E. Woody, and C.P. O'Brien. 1980. An improved diagnostic evaluation instrument for substance abuse patients: The Addiction Severity Index. Journal of Nervous and Mental Disease 168: 26–33.
Mueser, K.T., R.E. Drake, R.E. Clark, G.J. McHugo, C. Mercer-McFadden, and T.H. Ackerson. 1995. Toolkit: Evaluating substance abuse in persons with severe mental illness. The Evaluation Center @ HSRI. Cambridge, MA: Human Services Research Institute.
Pedace, R., and N. Bates. 2001. Using administrative records to assess earnings reporting error in the Survey of Income and Program Participation. Journal of Economic and Social Measurement 26(3-4): 173–192.
Primus, Wendell, Lynette Rawlings, Kathy Larin, and Kathryn Porter. 1999. The initial impacts of welfare reform on the incomes of single-mother families. Washington, DC: Center on Budget and Policy Priorities.
Randolph, F., M. Blasinsky, J.P. Morrissey, R.A. Rosenheck, J. Cocozza, and H.H. Goldman. 2002. Overview of the ACCESS program. Psychiatric Services 53(8): 945–948.
Ries, R.K., J. Russo, D. Wingerson, M. Snowden, K.A. Comtois, D. Srebnik, and P. Roy-Byrne. 2000. Shorter hospital stays and more rapid improvement among patients with schizophrenia and substance disorders. Psychiatric Services 51(2): 210–215.
Robins, L.N., J.E. Helzer, and T. Croughan. 1981. The National Institute of Mental Health Diagnostic Interview Schedule. Archives of General Psychiatry 38: 381–389.
Rosenheck, R.A., J. Lam, J.P. Morrissey, M.O. Calloway, M. Stolar, and F. Randolph. 2002. Service systems integration and outcomes for mentally ill homeless persons in the ACCESS program. Psychiatric Services 53(8): 958–966.
Rosenheck, R., L. Frisman, and P. Gallup. 1995. Effectiveness and cost of specific treatment elements in a program for homeless mentally ill veterans. Psychiatric Services 46(11): 1131–1139.
Rounsaville, B.J., H.D. Kleber, C. Wilber, D. Rosenberger, and P. Rosenberger. 1981. Comparison of opiate addicts' reports of psychiatric history with reports of significant-other informants. American Journal of Drug and Alcohol Abuse 8(1): 51–69.
Social Security Administration, Office of Policy, Office of Research, Evaluation, and Statistics. 2001a. Annual statistical report on the Social Security Disability Insurance program, 2000. Washington, DC: SSA.
———. 2001b. SSI annual statistical report, 2000. Washington, DC: SSA.
Sosin, M.R., and S. Grossman. 1991. The mental health system and the etiology of homelessness: A comparison study. Journal of Community Psychology 19: 337–350.
Stein, L.I., and M.A. Test. 1980. Alternative to mental hospital treatment. I. Conceptual model, treatment program, and clinical evaluation. Archives of General Psychiatry 37(4): 392–397.
Stephens, R. 1972. The truthfulness of addict respondents in research projects. International Journal of the Addictions 7(3): 549–558.
Strauss, J.S., W.T. Carpenter Jr., and A.T. Nasrallah. 1978. How reliable is the psychiatric history? Comprehensive Psychiatry 19(3): 213–219.
Vaux, Alan, and Mary Athanassopulou. 1987. Social support appraisals and network resources. Journal of Community Psychology 15(4): 537–556.
Waldron, H. 2001. Results of the Office of Policy's 2001 User Satisfaction Survey. Social Security Bulletin 64(4): 33–47.
Watkins, K.E., K.B. Wells, and A.T. McLellan. 1999. Termination of Social Security benefits among Los Angeles recipients disabled by substance abuse. Psychiatric Services 50(7): 914–918.
Wentworth, D.N., J.D. Neaton, and W.L. Rasmussen. 1983. An evaluation of the Social Security Administration Master Beneficiary Record file and the National Death Index in the ascertainment of vital status. American Journal of Public Health 73(11): 1270–1274.
Williams, B.C., L.B. Demitrack, and B.E. Fries. 1992. The accuracy of the National Death Index when personal identifiers other than Social Security number are used. American Journal of Public Health 82(8): 1145–1147.