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ECRI Health Technology Assessment Group. Determinants of Disability in Patients With Chronic Renal Failure. Rockville (MD) : Agency for Healthcare Research and Quality (US); 2000 May. (Evidence Reports/Technology Assessments, No. 13.)
This publication is provided for historical reference only and the information may be out of date.
Methodology
Focus and Refinement of Topic
This project was divided into two phases, the first of which consisted of an examination of published literature and the second of which consisted of de novo statistical analysis of data in a large national database.
To focus, refine, and arrive at the key questions addressed by this assessment, the research team met with the initiator of the request of this evidence report (the SSA), the administrating agency (i.e., Agency for Healthcare Research and Quality [AHRQ], formerly the Agency for Health Care Policy and Research), and a panel of three experts in the field of nephrology. The technical experts participating in this meeting all had clinical backgrounds in nephrology as well as varying backgrounds in research. To ensure that the research team obtained and considered the viewpoints of individuals with very diverse expertise in the beginning stages of this project, several conference calls with other technical experts were conducted. These experts had expertise in the areas of health services research, disability, vocational rehabilitation, and other related fields.
In the course of this initial meeting (held in November 1998) and subsequent followup meetings, the scope of the project was defined in the following manner. For the subset of the Listings related to CRF, SSA wished to determine whether the evidence in the clinical literature:
- Supports the listed criteria as currently written,
- Refutes the criteria as currently written, or
- Is insufficient to either support or refute the criteria as currently written.
If the listed criteria as currently written were not specifically supported by the evidence in the clinical literature, SSA sought to identify any alternative criteria that might serve as better predictors of disability.
If a review or analysis of the clinical literature were insufficient to answer these questions, SSA wished to know what kinds of research would be required to reach satisfactory answers.
Initial discussions indicated that SSA would be interested in all CRF patients, both those on dialysis and those not, and both adult and pediatric patients. However, the parameters of the project were further refined during additional meetings with SSA and AHRQ over the course of Phase 1 of the project. Findings of Phase 1 (discussed below) further limited the topic to adults with CRF due to a paucity of data on pediatric CRF patients and indicated that most available data were about ESRD patients, with very little information available on nondialyzed CRF patients.
It was also made clear during these initial meetings that an evaluation of treatment efficacy was not appropriate. Rather, the Listings need to be based on physiologic measures and functional status; therefore the focus of the project would be on clinical, laboratory, and functional indices that could potentially predict ability to work. Whether or not these values are affected by particular treatment regimens is irrelevant for the purposes of this project.
Finalized key questions were arrived at by the end of Phase 1 (January 1999) as outlined above in the Introduction section.
Measuring Inability To Work
Measurement Difficulties
The primary outcome of interest is the inability of a patient to work. There are, however, difficulties with this outcome measure: "inability" is a concept that cannot be directly measured. Other difficulties stem from the fact that answering such a question entails determining whether an individual is unable to work at a particular job.
Assessing inability to work must take into account the patient's physical, psychological, and social well being, as well as the type of job the patient would perform (Hu, Lahiri, Vaughan et al., 1997). Attempts to construct a simply administered test to measure inability to work would likely be flawed. For example, patients may over- or underestimate their ability to work, which means that a questionnaire, whether self-administered or administered by another, is not guaranteed to be accurate. Compounding this problem is that perfect accuracy is not guaranteed by increasing the complexity of the test. For example, patients who are highly motivated to work might be able to "pass" a test consisting of administered questions and of physical exertion, and still be unable to work for 40 hours per week. Similarly, patients less motivated to work may not "pass" such a test, even though they are, in fact, physically able to work. Therefore, the ability of any current test or any practical test to distinguish between those patients who are truly able to work and those who are truly not is questionable. Finally, although the examples here have incorporated questionnaires to "predict" inability to work, employing biochemical or clinical tests to measure ability to work does not circumvent these problems. One is still faced with the difficulty of attempting to measure inability to work.
These difficulties in measuring inability to work are reflected in the literature. Our literature searches (performed in Phase 1 of this project) demonstrated that there is no single widely accepted measure for inability (or ability) to work either for patients with CRF specifically or across multiple diseases (Kutner, Brogan, and Fielding, 1991; Wolcott, Nissenson, and Landsverk, 1988; Ferrans and Powers, 1985; Gutman, Stead, and Robinson, 1981; De-Nour and Czaczkes, 1975). In other words, there is no "gold standard" test for inability to work. Therefore, it appears that practical and ethical methods to measure a patient's true inability to work remain to be developed.
As such, it is possible only to infer a patient's inability to work. It must be recognized, however, that no inferential measurement of inability to work is perfect, particularly if the inference is based upon a relatively simple test. Nevertheless, it is theoretically possible to obtain information about the relative accuracy of certain inferences and perhaps to determine which (if any) inferential or surrogate measures of a patient's inability to work are better than other measures.
These inferential or surrogate measures include:
- Employment status. This term refers to whether a patient is employed at the time he/she was asked about his/her employment status. Because it is possible that some unemployed patients are able to work but it is not possible that patients who are unable to work do in fact work, employment status equals or underestimates the true ability to work; employment, in turn, can be treated as an estimate of the complement of (or the inverse proportion of) true inability to work.
- Self-reported inability to work. This measure refers to whether an individual states that he/she is unable to work. The outcomes "reported ability" and "reported inability" to work are both found in the literature. Because it is possible that some patients overestimate their ability (or inability) to work (Kruger and Dunning, 1999; McKillop, Berzonsky, and Schlenker, 1992; Lachman and Jelalian, 1984), reported inability to work is not a perfect reflection of their true inability to work. It is also not possible to determine whether self-reported ability to work is more or less accurate than employment status as a surrogate measure of inability to work. Barriers to employment are particularly relevant when considering self-reported inability to work. These barriers are discussed under the definition of "functional status."
- Functional status. Functional status is comprised of social, psychological, and physical aspects. For the purposes of this evidence report, our definition for this term is based on the Kidney Disease Quality-of-Life (KDQOLTM) questionnaire and SF-36. Included in "functional status" are physical functioning, role limitations caused by physical health problems, role limitations caused by emotional health problems, social functioning, emotional well-being, pain, energy/fatigue, and general health perceptions.
Functional status can be examined both as an outcome variable (i.e., a dependent variable) and as a predictor variable. Thus, one may not only attempt to ascertain the relationship(s) between other variables (e.g., patient age, creatinine levels) and functional status, but also attempt to ascertain the relationship(s) between functional status and the above-noted inferential measures of employment.
Self-reported ability to work and functional status are unlikely to correlate strongly with employment status because of current existing nonclinical barriers to employment. Assuming all other factors are equal, the presence of such barriers will cause the percentage of patients who report they are able to work and who have relatively high functional status scores to exceed the percentage of patients who are actually employed. These considerations suggest that self-reported ability to work and functional status could be more accurate (although still imperfect) measures of true inability/ability to work than employment status. On the other hand, patients' estimates of their own abilities may be imperfect; therefore, these measurements may either overestimate or underestimate a patient's ability to work, depending on the patient's motivation. - Receiving disability. This term refers to whether patients are receiving Social Security disability benefits. This measurement can serve as a benchmark for determining the impact (expressed in terms of number or percentage of patients) of any proposed modification of the disability criteria currently used in the Listings.
Published Studies on Difficulties in Measuring (In)ability To Work
Though SSA uses its own operational definitions of "disability" and "inability to work," the definitions of these terms in the clinical literature vary considerably. In this section, we explore some of these variations.
There are complex relationships among pathologies, physical and mental functions, and social functions (such as the ability to carry out gainful employment) (Verbrugge and Jette, 1994; Hahn, 1993; LaPlante, 1991). A broad categorization of the different levels of function has emerged (Nagi, 1991; Rettig and Levinsky, 1991; World Health Organization, 1980; Nagi, 1979; Nagi, 1965); however, exact definitions from various sources are overlapping and not in complete agreement (see Table 1). This broad hierarchy is briefly described here:
- Disease process. A past or current disease or pathological condition underlies and is the causative factor or one of the causative factors for the condition or health state.
- Physical or mental function. These are biological or psychological consequences of the condition that occur from the molecular and cellular level up through the organ system level.
- Limitations of action. As a consequence of the impairment, there is a loss of ability to carry out certain action(s), such as the movement of an arm or leg, detection by a sensory organ, or the performance of a simple mental task.
- Limitations in basic activities. Because of the action inability, certain basic activities are limited or impossible, such as walking, running, sensory awareness of the social and physical environment, or carrying out sequential mental tasks.
- Disability/disablement. Because of the limitation in basic activities, the individual may be unable to or have limited ability to engage in physical and mental tasks and complex social activities, such as housework, economically gainful work, social interaction with family and community, procreation, and recreation, that are normally part of the social environment or are required by the physical environment. Unlike the above levels of function, the existence and extent of disability/disablement is determined not only by the functional capabilities of the individual, but also by the demands of the social and physical environment (Verbrugge and Jette, 1994; Hahn, 1993). Also, in some cases, a disability can be ameliorated or even completely removed by behavioral, medical, or device-related interventions, even though none of the above levels of function or pathology has changed (Verbrugge and Jette, 1994; Hahn, 1993).
- Quality of life. Suboptimal performance in any of the above areas can diminish an individual's quality of life. Quality of life may not be directly relevant to employment disability, but it is involved in the consideration of disability in general.
This evidence report is concerned only with conditions that limit one's ability to engage in substantial gainful activity (SGA). However, determination of an individual's capacity to engage in SGA requires in-depth and subtle knowledge of the other levels of function described above and a mapping of these functional abilities to job requirements. The medical classification of pathologies is based on disease etiology or causation, not on the physical, mental, and social consequences of disease; therefore, there has been a general failure of strictly medical diagnoses to inform disability policy and to produce universal or consistent criteria for disability (Hahn, 1993; Stone, 1984).
The establishment of criteria for determining employment disability involves unique problems beyond defining the concept of disability in general. In a market economy in which economic competition is an inherent part of gainful work, there is the further complication that the mere ability to go through the motions of work does not ensure that the work will in fact be competitive and gainful. There are also a number of factors that are difficult to assess in terms of physical or medical observations. These include the amount of pain involved in otherwise performable activities, the amount of time and energy outside working hours that are expended dealing with the disease or its consequences, and whether a person with a terminal condition should be required to work as close as possible to the time of genuine inability to work or death. This concept is so deeply imbedded in social, cultural, and economic frameworks that are unique in time and place that it is only possible to approach the answer to the question of "who can work?" by instead answering by direct observation the question of "who does work, and under what circumstances?"
Answering the question of which patients with ESRD can work is made even more difficult by the fact that all such patients are currently found disabled at the third step of the SSA disability sequential evaluation process. Thus, the fact that a patient is not working may simply be because he or she would rather receive disability than be gainfully employed or that a patient anticipates (rightly or wrongly) that he or she will be unable to work in the near future. One can, however, gain some insight into the relationship between the impairment caused by CRF and the ability to engage in substantial gainful activity. This can be done by following those patients who are gainfully employed at the time they are diagnosed with ESRD in spite of the fact that they qualify for disability. The measurable medical parameters at the point that these patients stop working would be the criteria that ideally belong in the Listings. This is because these parameters indicate the point in disease at which well-motivated patients cannot (or do not) continue to work. Also, the point at which essentially no patients continue to work is important because this point is when education, skills, and unique job requirements no longer influence one's ability to work. Using measurable medical parameters at these two time points is compatible with the purpose of the SSDI screen-in process, which aims to identify conditions with which no one should be expected to work, regardless of skills and present job requirements. In the SSA disability sequential evaluation process, such individual background and job factors are considered in steps 2, 4, and 5. The Listings are intended to contain conditions that automatically result in a favorable disability determination for the most severely impaired patients, regardless of job factors.
A further difficulty is encountered because no diagnostic cut point for determining who is unable to work will be perfect. Any "test" for inability to work will invariably misclassify some individuals as being unable to work when, in fact, they can work, and/or individuals may be misclassified as not disabled when, in fact, they are unable to work. Therefore, the challenge becomes one of maximizing the ability of any "test" for disability to correctly determine whether a person is able or unable to work, while minimizing the ability of any such "test" to incorrectly determine an individual's inability to work. Issues related to determining the predictive value of a "test" for disability are further discussed in Appendix E.
In summary, the evidence report cannot directly assess inability to work. This is not due to a lack of literature on the subject or lack of data per se. Rather, it is due to the impracticality of directly measuring this concept. This problem is inherent to all studies of disability. Consequently, the evidence report must focus on outcomes that can be or have been measured.
Outcomes Used in the Evidence Report
As discussed above, all of the outcome measures listed in this subsection are inferential measures of inability to work. Employment status, functional status, self-reported ability to work, and SSA disability status are all considered.
For the purposes of this evidence report, the definition of functional status is based on the KDQOLTM questionnaire, which is a disease-specific expansion of the SF-36 that was used in the USRDS DMMS Wave 2 study (discussed later in this report). Concepts included here are physical functioning, role limitations caused by physical and/or emotional health problems, social functioning, emotional well being, pain, energy/fatigue, and general health perceptions.
Issues Not Addressed in This Evidence Report
It is important to list the issues that are not addressed in the evidence report. These items include:
- Kidney transplantation. SSA has requested that this procedure not be covered in the evidence report.
- Differences in outcomes between hemo- and peritoneal dialysis. There is a potential for considerable selection bias when determining which form of dialysis a patient should receive, which precludes addressing this issue in a satisfactory manner.
- Questions about dialysis duration. Dialysis duration is an indirect measurement of the patient's severity of disease. Thus, questions about physiological functioning as measured by laboratory tests are more direct and will be assessed in this report.
- Questions about the efficacy of EPO. Although this may be of considerable interest in nephrology, questions involving this drug are peripheral to the major questions of this report. EPO is administered primarily to ameliorate anemia. The key questions address anemia directly, among other physiological states. Issues about whether EPO should be administered are questions concerning appropriate clinical practice, not disability.
- Questions about rehabilitation and patient education. While these questions are of considerable interest, they are not directly related to the key questions of this report.
Evidence Model
Discussions during initial meetings with AHCPR (now called the Agency for Healthcare Research and Quality), SSA, and technical experts allowed ECRI to develop an evidence model that depicts the clinical course of disease, as it would be addressed to answer the questions of interest. Shown below (see Figure 1) is the evidence model for renal disease in adults. The model displays, in rough chronological order, the course of renal disease from its chronic disease form to a form serious enough to require the patient to undergo dialysis (ESRD). Thus, reading from left to right, the model depicts patients with CRD, patients with ESRD, the characteristics of these patients, and the outcomes of treatment. The evidence model also makes allowance for the fact that not all cases of ESRD arise from CRD.
Literature Searches: Summary
Electronic Database Searches
Twenty-seven databases were searched for relevant information. We searched for information in each database from the date of its inception, therefore all records in these databases were considered:
ABI/Inform® (through November 12, 1998)
Abledata (NARIC) (through November 12, 1998)
The Cochrane Database of Systematic Reviews (through 1999 Issue 2)
The Cochrane Registry of Clinical Trials (through 1999 Issue 2)
The Cochrane Review Methodology Database (through 1999 Issue 2)
Combined Health Information Database (CHID) (through November 2, 1998)
CRISP (through December 3, 1998)
Current Contents® (through June, 1999)
The Database of Reviews of Effectiveness (Cochrane Library) (through 1999 Issue 2)
DIRLINE® (through November 1998)
ECRI Library Catalog (through October 29, 1998)
EMBASE® (Excerpta Medica) (1980 through November 23, 1998)
Health Care Finance Administration Database (through April 22, 1999)
Health Devices Alerts® (1977 through June 1999)
Healthcare Standards (1975 through June 1999)
Health Devices Sourcebase® (through June 1999)
HealthSTAR (Health Services, Technology, Administration, and Research) (1980 through April 13, 1999)
HSRProj (through November 4, 1998)
Hypertension, Dialysis & Clinical Nephrology© (HDCN) (through June 1999)
International Health Technology Assessment (IHTA)© (1990 through June 1999)
MEDLINE® (1980 through April 13, 1999)
Nursing and Allied Health (NAHL/CINAHL)® (1980 through October 20, 1998)
PsycINFO® (1980 through December 2, 1999)
RehabDATA (NARIC) (through November 12, 1998)
Sci Citation Index® (through October 22, 1998)
Social SciSearch® (through October 21, 1998)
TARGETTM (through October 6, 1999)
The search strategies employed a number of free-text keywords as well as controlled vocabulary terms, including (but not limited to) the following concepts:
- Study design-Controlled trials: Randomized controlled; controlled clinical trials; meta-analysis; random allocation; single-blind method; double-blind method, evidence-based medicine (includes randomized controlled trials, outcomes research, and meta-analysis)
- Disability: Disabled; disability; disability evaluation
- Disorders: ESRD; end-stage renal disease; ESRF; end-stage renal failure; kidney failure, chronic
- Interventions: Dialysis; haemodialysis; hemodialysis; peritoneal dialysis; renal replacement therapies; kidney transplantation
- Miscellaneous: Educational status; patients; patient compliance; patient participation; predictive value of tests; quality-of-life; QOL; sex factors; social class; socioeconomic factors; time factors
- Work: Employment; employability; employment status; job re-entry; re-employment; unemployment; vocational rehabilitation; work capacity evaluation; workload; work scheduling.
In general, the searches were restricted to studies examining human subjects. Case reports were excluded.
World Wide Web Searches
Searches of the World Wide Web were also conducted using various search engines including (but not limited to) AltaVista, Hotbot, Infoseek, Magellan, and Yahoo!®. Pertinent Web sites included:
Kidney Disease
- American Association of Kidney Patients (www.aakp.org)
- About Epogen (wwwext.Amgen.com/cgi-bin/genobject/productEpogen/tig__5Znvfv)
- Directory of Kidney and Urologic Diseases Organizations (www.niddk.nih.gov/health/kidney/pubs/kuorg/kuorg.htm)
- Forum of End Stage Renal Disease Networks (www.esrdnetworks.org/)
- Hypertension, Dialysis, & Clinical Nephrology (www.hdcn.com/)
- Kidney and Urologic Diseases Statistics for the United States (www.niddk.nih.gov/health/kidney/pubs/kustats/kustats.htm)
- National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (www.niddk.nih.gov/)
- National Kidney Foundation (www.kidney.org/)
- The Nephron Information Center (nephron.com/
- Nephrology News and Issues (www.medicalnews.com/nephrology/)
- RENALNET (www.renalnet.org/renalnet/renalnet.cfm)
- United States Renal Data System (www.med.umich.edu/usrds/)
Disability and Rehabilitation
- Disability Resources Monthly (DRM) Guide to Resources on the Internet (www.geocities.com/~drm/)
- Disability Statistics Center (dsc.ucsf.edu/)
- Employment Project's Homepage. Efforts to remove work disincentives (www.teleport.com/~enygma/employ/)
- National Institute on Disability and Rehabilitation Research (NIDRR) (www.ed.gov/offices/OSERS/NIDRR)
- National Organization on Disability (www.nod.org/)
- National Rehabilitation Information Center (NARIC) (www.naric.com)
- Research Institutes, Universities, Rehabilitation Centres (www.gladnet.org/research.htm)
- Vocational Evaluation and Work Adjustment Association (VEWAA) (www.vewaa.org/)
Hand Searches of Journal and Nonjournal Literature
More than 1,600 journals and supplements maintained in ECRI's collections were routinely reviewed. Nonjournal publications and conference proceedings from professional organizations, private agencies, and government agencies were also screened.
Other Mechanisms
Other mechanisms were used to retrieve additional relevant information, including review of bibliographies/reference lists from peer-reviewed and gray literature. (Gray literature includes reports, studies, etc. produced by local government agencies, private organizations, educational facilities, and corporations, etc., that do not appear in the peer-reviewed literature.)
Literature Searches: Final Summary of Relevant Literature
Documents Identified
These search strategies identified 3,492 documents, books, and World Wide Web resources. The lead analyst reviewed the search results to identify relevant documents and to ensure that all pertinent information was retrieved using these search strategies. Input from technical experts and members of the internal review committee also helped revise the search strategies. Through these processes, new searches were conducted, and a total of 503 documents were ordered.
Categorization of Ordered Articles
When documents were ordered, they were catalogued as to the part of the project for which they were being retrieved. Below is a list of all the categories used, and the number of ordered articles that fell into each category. [Note: the total number of documents does not add up to 503 due to cross-referencing of categories.]
Categorization of Ordered Articles
Category | Number of documents |
---|---|
Background | 47 |
Clinical Measures, ESRD | 0 |
Clinical Measures, CRD | 2 |
Comorbidities | 3 |
Complications | 1 |
CRD, misc | 6 |
CRD, pediatric | 3 |
Disability, general | 28 |
Disability, ESRD | 13 |
Employment | 27 |
Epidemiology, ESRD | 7 |
Epidemiology, CRD | 4 |
ESRD, misc | 27 |
ESRD, pediatric | 7 |
Functional measures, ESRD | 9 |
Functional measures, CRD | 2 |
Functional measures, general | 12 |
Laboratory Measures, ESRD | 7 |
Laboratory Measures, CRD | 1 |
QoL, ESRD | 53 (may overlap with rehab or functional measures) |
QoL, CRD | 3 |
QoL, pediatric | 2 |
QoL, general | 1 |
Regulations | 41 |
Rehabilitation | 18 (6 of which overlap with employment) |
Review articles | 88 |
Statistics | 23 |
Therapies, ESRD | 34 |
Therapies, CRD | 2 |
Therapies, pediatric | 2 |
USRDS | 33 |
Other/Not Relevant | 65 |
Final Count
We read the complete texts of these 503 studies, and determined that only 14 of them contained any analysis of predictors of employment. All of these 14 studies pertained solely to adult ESRD patients. There were also an additional 19 studies that may contain some relevant data but were limited by other factors. The final disposition of those studies deemed irrelevant is listed below.
Final Count
Number of studies | Reason deemed irrelevant |
---|---|
343 | No data relevant to employment or disability in CRF patients |
19 | Commentary/review: no de novo data |
13 | Treatment efficacy trials |
8 | Transplant patients only |
99 | May be used for Introduction/Background section: no de novo data |
2 | Foreign: societal differences may result in outcomes different from those of U.S. studies and therefore may be inappropriate for SSA's use |
Results
Fourteen published studies were identified that contained original data relevant to this project. These studies are summarized in Evidence Table 1. These studies all used some indirect measurement of ability to work as an outcome measure. The most common among these was vocational status, followed by self-reported ability to work. Studies included clinical, functional and social measurements to delineate those who could work or were working from those who could not or were not. Most of these studies were conducted as interviews or questionnaires. The number of patients included in each study ranged from 27 to 2,481.
The defining, as well as largest, study of all of these was that published by Gutman et al. (1981). He and his colleagues surveyed 2,481 patients at 18 dialysis centers about their vocational status, and analyzed demographic, health status, and functional measures as predictors of vocational status. They found that sex, race, education, presence of diabetes, Karnofsky scale score, and physical activity score all significantly delineated working from nonworking patients. Nonsignificant predictor variables included race and education (when patients with diabetes were excluded) (Gutman, Stead, and Robinson, 1981).
This study is representative of the best studies that have been published on this topic, and therefore illustrates the minimum level of limitations associated with any of these studies. There were several limitations. First, the authors used a chi-square test for analysis of these variables, a univariate test that does not correct for covariation among predictor variables. Second, the variables analyzed are not useful for the present evidence report, as demographic variables cannot be used to determine disability; this was a major difficulty with most of the published studies. Third, the study was limited to a single outcome variable, vocational status, which may not accurately reflect ability to work (as discussed above in the section "Measuring Inability To Work").
The other 13 studies shown in Evidence Table 1 suffered from similar or more severe limitations that did not allow us to use their data for this project.
Nineteen other studies appeared to contain some relevant information, but had specific limitations that precluded their consideration for use in any analysis. These studies are listed individually in Evidence Table 2, along with the reason for their exclusion from consideration. Some of these studies may have contained good data but were conducted outside of the United States, so that results may reflect cultural practice differences. Others contained data that were subsumed by a larger pool of data provided by DMMS data or the USRDS annual report.
The data available in the published literature were not sufficient for analysis for the purposes of this project. We therefore evaluated the possibility of using individual patient data from the USRDS, for de novo analyses to answer SSA's key question.
Data on Pediatric ESRD Patients
We were unable to identify appropriate data in the published, peer-reviewed literature regarding factors that may predict disability in pediatric patients with ESRD. Not only are there few studies on this topic in the published literature, but there is also uncertainty as to what constitutes disability in children. A handful of studies have looked at the school attendance of such children, but none has identified predictor variables for school attendance. Other studies have examined the physiologic and cognitive development of such children, but have not related it to any disability measurement.
Pediatric data in the USRDS are also limited. The most extensive data are contained in the Pediatric Growth and Development subset. This data set contains extensive medical and demographic information about pediatric ESRD patients. Functionality for pediatric patients in this database is measured solely through school attendance and physical development measures; this would overly limit our definition of functionality in pediatric patients for purposes of this analysis. It does not contain information about broader quality-of-life measures. Another subset of data, the DMMS Wave 2, which contains a quality-of-life questionnaire, does not include pediatric patients.
Summary of Published Evidence
There are limitations to all of the data in the published literature that preclude their use in analysis for this report:
- 1.
Most studies used univariate statistical tests (e.g., chi square or ANOVA). These tests do not control for the effects that other variables might have upon the outcomes.
- 2.
Most of the variables were demographic or psychological, and therefore, not ethically or easily incorporated into the SSA disability assessment process.
- 3.
None of these studies was longitudinally designed to allow assessment of predictive value of independent variables.
- 4.
Patients were examined at many different time points after the start of dialysis. Most patients were examined or interviewed 5 to 6 years after beginning dialysis. This does not approximate the time frame of interest to SSA (1 year).
Because of these limitations, we concluded that there are currently no published data available to either support or refute the current Listings for CRF. We therefore evaluated the possibility of using individual patient data from the USRDS database to answer the key questions of this project. There were several potential advantages to the use of these data:
- 1.
The DMMS Wave 2 data included medical, demographic, functional, and quality-of-life data from more than 4,000 adult dialysis patients in the United States. This was substantially larger, and therefore has the potential to be more statistically reliable, than data from any published study.
- 2.
Because the data are at the individual patient level, the analysis can be tailored to the key questions.
- 3.
The DMMS Wave 2 data were collected longitudinally, in a two-stage interview process: once at the initialization of dialysis and once 9 to 12 months later. Medical, demographic, and functional measures were taken at both interviews. This allowed us to identify predictors at time 1 for outcomes at time 2.
- 4.
The time frame of this study-9 to 12 months-was almost identical to the time frame considered in evaluation of disability, unlike most published studies.
- 5.
The data collection was prospectively planned. This reduced the potential for patient selection bias.
On the other hand, this database did have the drawback that it was not designed to answer questions about disability status. As discussed in the rest of this report, it has limitations that preclude definitively addressing SSA's key question.
- Phase 1: Review of the Available Evidence in the Published Literature - Determin...Phase 1: Review of the Available Evidence in the Published Literature - Determinants of Disability in Patients With Chronic Renal Failure
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