Debra Saliba
University of California, Los Angeles
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Journal of the American Geriatrics Society | 2001
Debra Saliba; Marc N. Elliott; Laurence Rubenstein; David H. Solomon; Roy T. Young; Caren Kamberg; Rn Carol Roth; Catherine H. MacLean; Paul G. Shekelle; Elizabeth M. Sloss; Neil S. Wenger
OBJECTIVES: To develop a simple method for identifying community‐dwelling vulnerable older people, defined as persons age 65 and older at increased risk of death or functional decline. To assess whether self‐reported diagnoses and conditions add predictive ability to a function‐based survey.
Annals of Internal Medicine | 2003
Neil S. Wenger; David H. Solomon; Carol P. Roth; Catherine H. MacLean; Debra Saliba; Caren Kamberg; Laurence Z. Rubenstein; Roy T. Young; Elizabeth M. Sloss; Rachel Louie; John S. Adams; John T. Chang; Patricia J. Venus; John F. Schnelle; Paul G. Shekelle
Context Many Americans 65 years of age and older are at risk for functional decline, yet we know little about the quality of care for geriatric conditions. Contribution This study used a 13-item survey about functional status to evaluate the care of 420 people 65 years of age and older whom the investigators identified as vulnerable to functional decline. Quality of care was highly variable from condition to condition but was generally better for general medical conditions, such as diabetes, than for geriatric conditions, such as incontinence. Implications Efforts to improve care for vulnerable elders should focus on the geriatric conditions that profoundly influence functional status. The Editors The quality of care among patients 65 years of age and older has not been extensively investigated, and most existing studies have focused on general adult medical conditions. This is surprising, considering that more than 40% of all medical expenditures are for persons 65 years of age and older (1). The most comprehensive study to date of quality of care among older patients evaluated 24 process indicators among U.S. Medicare beneficiaries in all 50 states between 1997 and 1999 (2). Care for acute myocardial infarction, heart failure, stroke, and pneumonia was evaluated by using inpatient medical records. Pneumonia, breast cancer, and diabetes indicators were evaluated by using survey and Medicare claims data. The investigators found that the percentage of patients receiving appropriate care varied widely by measure and state. Several other studies of older patients evaluated cardiovascular conditions, diabetes, or aspects of preventive care and medication use (3-10). No study, however, has assessed the quality of medical care provided for geriatric conditions that profoundly affect the lives of vulnerable older patients. Furthermore, surveys find that older persons often prioritize function and comfort over disease treatment and prolongation of life (11). Quality-of-care measurement for older patients that examines only a few conditions and only indicators aimed at prolonging life yields an incomplete assessment because it ignores other conditions and aspects of care that are of equal or even greater importance to older patients. For this reason, we developed a quality assessment system that assesses more conditions. Together, these conditions account for a majority of all of the care older patients receive (12) and include several geriatric syndromes. We used this quality assessment system to evaluate the care provided to a sample of vulnerable elders at increased risk for death or functional decline. Methods The Assessing Care of Vulnerable Elders (ACOVE) project developed and applied a quality assessment system for vulnerable older persons. The assessment system aimed to develop quality indicators (QIs) that cover the spectrum of care for these patients. Indicators were implemented by using medical record abstraction and patient interview. The ACOVE Quality-of-Care Assessment System The ACOVE investigators developed a system of QIs to cover the most important conditions vulnerable elders encounter in all care venues. This system focused on processes (care behaviors) rather than outcomes for 2 reasons. First, although most agree that outcomes should be adjusted for risk when quality is measured, there is little consensus regarding the best severity measurement system (13). Second, measurement of processes of care is thought to be a more direct assessment of quality than measurement of outcomes (14). The process measures were selected to represent the various domains of care: screening and prevention, diagnosis, treatment, and follow-up. The development of the assessment system was guided by a Policy Advisory Committee, which helped to direct the focus toward practical applications, and by a Clinical Committee, which provided clinical expertise for development and monitored the assembly of the QIs into a comprehensive system (15). The methods for selecting conditions and developing the QIs have been described in detail elsewhere (12, 16). In brief, the Clinical Committee used the criteria of prevalence, impact, effectiveness of prevention or treatment, need for quality improvement, feasibility of measurement, and geriatric niche in a formal group rating process to identify 22 target conditions for quality improvement (12). For each of the 22 conditions, we developed a set of evidence-based QIs for vulnerable elders using a combination of systematic reviews and expert judgment (16). Of 420 proposed QIs, the 2 expert panels, the Clinical Committee, and the American College of Physicians Task Force on Aging accepted 236 as valid indicators; these were assembled into the ACOVE QI set (17). The 236 QIs covered the domains of care as follows: Sixty-one (26%) focused on screening and prevention, 50 (21%) focused on diagnosis, 84 (36%) focused on treatment, and 41 (17%) focused on follow-up and continuity of care. Examples of ACOVE QIs for each condition are presented in Table 1. Table 1. Examples of Assessing Care of Vulnerable Elders Quality Indicators Patients and Data Collection Using the ACOVE QI set, we assessed care provided to seniors who were enrolled in 2 managed care organizations. These patients were defined as vulnerable on the basis of self-report or proxy report on a brief, 13-item screening survey (Vulnerable Elders-13 [VE-13] Survey [18]). Vulnerable elders, identified by this function-based survey, are community-dwelling persons 65 years of age and older who have 4 times the risk for functional decline or death over the next 2 years compared with individuals not identified as vulnerable (18). Each managed care organization, 1 in the northeastern United States and the other in the southwestern United States, had more than 20 000 elderly enrollees and contracted with a network of providers to deliver care. Eligibility criteria included continuous enrollment in the managed care organization for at least 13 months and no out-of-plan care or active treatment for malignant conditions (excluding nonmelanoma skin cancer) during this period. A random sample of 3207 community-dwelling elderly adults was drawn from eligible persons in each managed care organization by using a random-number generator. Vulnerable elders were identified by using the VE-13 Survey as part of a telephone interview. Patients who did not speak English were not eligible to participate. The RAND Institutional Review Board approved the study protocol. Medical Record Review Using administrative data, we identified all inpatient and outpatient medical care received by study participants during the 13-month period of 1 July 1998 to 31 July 1999. Medical records were requested from primary care and specialist providers (including eye care and mental health providers), acute care hospitals, skilled-nursing facilities, home health agencies, and facilities providing outpatient services (for example, physical therapy). Identifying information of patients and providers was removed from the medical records. Trained nurses with previous experience in quality assessment performed medical record abstraction. Abstractors were provided with written abstraction guidelines and real-time consultation with a senior nurse reviewer. The abstractor considered all of a patients records when assessing whether he or she was eligible for and received the indicated care processes. In other words, information on eligibility for a QI could have been derived from 1 record (such as an outpatient note) while the care process was delivered and documented in another setting (for example, inpatient medical record). If the care process was performed in the defined time interval, care was scored as complying with the QI. The senior nurse reviewer also assessed each completed medical record abstraction. Physicians reviewed QIs that required a more detailed level of clinical assessment. Examples include whether the elements of a delirium evaluation had been completed or whether an adequate intervention was performed for hyperlipidemia. An ophthalmologist evaluated selected data elements addressing vision care. Ten percent of all records were reabstracted to evaluate reliability of the abstraction process. Exact agreement on QI eligibility and score was 95%. (For details of abstractor preparation and abstraction materials, see the Appendix.) Quality-of-Care Interview A quality-of-care interview was conducted to ask study participants (or, if participants were incapable of responding, their proxies) about aspects of their care that might not be captured in the medical record (for example, physicianpatient counseling). On the basis of conditions and medications reported during the interview, patients were asked about specific processes of care they had received. Patients were also asked about care preferences that might affect the applicability of QIs. In addition, the interview included demographic questions and functional status items. The quality-of-care interview was conducted by telephone between August and October 2000 and required, on average, 44 minutes to complete. Statistical Analysis Of the 236 QIs, we were able to evaluate 207 using chart abstraction (n = 185 [89%]) or interview (n = 22 [11%]). Interview was used to score QIs for data elements that we did not collect from the medical record. A QI was scored for a patient if he or she satisfied the IF statement of the QI and thus was eligible to receive the specified care process (Table 1). A score of 1 was awarded if the care process was carried out, and a score of 0 was assigned if it was not. For QIs that included several triggering events, a score between 0 and 1 was possible. If the medical record indicated that the patient declined the care process, the QI was considered to be passed (the care was credited in both the numerator and the denominator of the indicator score). On the other hand, if the patient had a pre
Journal of the American Geriatrics Society | 2000
Debra Saliba; Raynard Kington; Joan L. Buchanan; Robert M. Bell; Mingming Wang; Martin L. Lee; Michael Herbst; Daniel Lee; Denise K. Sur; Lisa V. Rubenstein
OBJECTIVES: To develop and test a standardized instrument, the purpose of which is to assess (1) whether skilled nursing facilities (SNFs) transfer residents to emergency departments (ED) inappropriately, (2) whether residents are admitted to hospitals inappropriately, (3) and factors associated with inappropriate transfers.
Journal of the American Geriatrics Society | 2010
Joseph G. Ouslander; Gerri Lamb; Mary Perloe; JoVonn H. Givens; Linda Kluge; Tracy Rutland; Adam Atherly; Debra Saliba
OBJECTIVES: To examine the frequency and reasons for potentially avoidable hospitalizations of nursing home (NH) residents.
Health Services Research | 2003
Dan R. Berlowitz; Gary J. Young; Elaine C. Hickey; Debra Saliba; Brian S. Mittman; Elaine Czarnowski; Barbara Simon; Jennifer J. Anderson; Arlene S. Ash; Lisa V. Rubenstein; Mark A. Moskowitz
OBJECTIVE To examine quality improvement (QI) implementation in nursing homes, its association with organizational culture, and its effects on pressure ulcer care. DATA SOURCES/STUDY SETTING Primary data were collected from staff at 35 nursing homes maintained by the Department of Veterans Affairs (VA) on measures related to QI implementation and organizational culture. These data were combined with information obtained from abstractions of medical records and analyses of an existing database. STUDY DESIGN A cross-sectional analysis of the association among the different measures was performed. DATA COLLECTION/EXTRACTION METHODS Completed surveys containing information on QI implementation, organizational culture, employee satisfaction, and perceived adoption of guidelines were obtained from 1,065 nursing home staff. Adherence to best practices related to pressure ulcer prevention was abstracted from medical records. Risk-adjusted rates of pressure ulcer development were calculated from an administrative database. PRINCIPAL FINDINGS Nursing homes differed significantly (p<.001) in their extent of QI implementation with scores on this 1 to 5 scale ranging from 2.98 to 4.08. Quality improvement implementation was greater in those nursing homes with an organizational culture that emphasizes innovation and teamwork. Employees of nursing homes with a greater degree of QI implementation were more satisfied with their jobs (a 1-point increase in QI score was associated with a 0.83 increase on the 5-point satisfaction scale, p<.001) and were more likely to report adoption of pressure ulcer clinical guidelines (a 1-point increase in QI score was associated with a 28 percent increase in number of staff reporting adoption, p<.001). No significant association was found, though, between QI implementation and either adherence to guideline recommendations as abstracted from records or the rate of pressure ulcer development. CONCLUSIONS Quality improvement implementation is most likely to be successful in those VA nursing homes with an underlying culture that promotes innovation. While QI implementation may result in staff who are more satisfied with their jobs and who believe they are providing better care, associations with improved care are uncertain.
Journal of the American Geriatrics Society | 2000
Elizabeth M. Sloss; David Solomon; Paul G. Shekelle; Roy T. Young; Debra Saliba; Catherine H. MacLean; Laurence Z. Rubenstein; John F. Schnelle; Caren Kamberg; Neil S. Wenger
OBJECTIVE: To identify a set of geriatric conditions as optimal targets for quality improvement to be used in a quality measurement system for vulnerable older adults.
Journal of the American Geriatrics Society | 2006
Lillian Min; Marc N. Elliott; Neil S. Wenger; Debra Saliba
OBJECTIVES: To examine whether the Vulnerable Elders Survey (VES‐13) score predicts risk of death and functional decline in vulnerable older adults.
Health Services Research | 2005
Melinda Beeuwkes Buntin; Anita Datar Garten; Susan Paddock; Debra Saliba; Mark E. Totten; José J. Escarce
OBJECTIVE To assess the relative impact of clinical factors versus nonclinical factors-such as postacute care (PAC) supply-in determining whether patients receive care from skilled nursing facilities (SNFs) or inpatient rehabilitation facilities (IRFs) after discharge from acute care. DATA SOURCES AND STUDY SETTING Medicare acute hospital, IRF, and SNF claims provided data on PAC choices; predictors of site of PAC chosen were generated from Medicare claims, provider of services, enrollment file, and Area Resource File data. STUDY DESIGN We used multinomial logit models to predict PAC use by elderly patients after hospitalizations for stroke, hip fractures, or lower extremity joint replacements. DATA COLLECTION/EXTRACTION METHODS A file was constructed linking acute and postacute utilization data for all medicare patients hospitalized in 1999. PRINCIPAL FINDINGS PAC availability is a more powerful predictor of PAC use than the clinical characteristics in many of our models. The effects of distance to providers and supply of providers are particularly clear in the choice between IRF and SNF care. The farther away the nearest IRF is, and the closer the nearest SNF is, the less likely a patient is to go to an IRF. Similarly, the fewer IRFs, and the more SNFs, there are in the patients area the less likely the patient is to go to an IRF. In addition, if the hospital from which the patient is discharged has a related IRF or a related SNF the patient is more likely to go there. CONCLUSIONS We find that the availability of PAC is a major determinant of whether patients use such care and which type of PAC facility they use. Further research is needed in order to evaluate whether these findings indicate that a greater supply of PAC leads to both higher use of institutional care and better outcomes-or whether it leads to unwarranted expenditures of resources and delays in returning patients to their homes.
Journal of the American Geriatrics Society | 2009
Lillian Min; William Yoon; Jeff Mariano; Neil S. Wenger; Marc N. Elliott; Caren Kamberg; Debra Saliba
OBJECTIVES: To test the predictive properties of the Vulnerable Elders‐13 Survey (VES‐13) a short tool that predicts functional decline and mortality over a 1‐ to 2‐year follow‐up interval over a 5‐year interval.
Journal of the American Geriatrics Society | 2013
Susanne Hempel; Sydne Newberry; Zhen Wang; Marika Booth; Roberta Shanman; Breanne Johnsen; Victoria Shier; Debra Saliba; William D. Spector; David A. Ganz
To systematically document the implementation, components, comparators, adherence, and effectiveness of published fall prevention approaches in U.S. acute care hospitals.