Jennifer L. Ellis

Barriers to Self-Management and Quality-of-Life Outcomes in Seniors With Multimorbidities

PURPOSE Persons with multiple chronic diseases must integrate self-management tasks for potentially interacting conditions to attain desired clinical outcomes. Our goal was to identify barriers to self-management that were associated with lower perceived health status and, secondarily, with lower reported physical functioning for a population of seniors with multimorbidities. METHODS We conducted a cross-sectional telephone survey of 352 health maintenance organization members aged 65 years or older with, at a minimum, coexisting diagnoses of diabetes, depression, and osteoarthritis. Validated questions were based on previous qualitative interviews that had elicited potential barriers to the self-management process for persons with multimorbidities. We analyzed associations between morbidity burden, potential barriers to self-management, and the 2 outcomes using multivariate linear regression modeling. RESULTS Our response rate was 47%. Sixty-six percent of respondents were female; 55% were aged 65 to 74 years, and 45% were aged 75 years or older. Fifty percent reported fair or poor health. On average they had 8.7 chronic diseases. In multivariate analysis, higher level of morbidity, lower level of physical functioning, less knowledge about medical conditions, less social activity, persistent depressive symptoms, greater financial constraints, and male sex were associated with lower perceived health status. Potential barriers to self-management significantly associated with lower levels of physical functioning were higher level of morbidity, greater financial constraints, greater number of compound effects of conditions, persistent depressive symptoms, higher level of patient-clinician communication, and lower income. CONCLUSIONS In addition to morbidity burden, specific psychosocial factors are independently associated with lower reported health status and lower reported physical functioning in seniors with multimorbidities. Many factors are amenable to intervention to improve health outcomes.

Subjective assessments of comorbidity correlate with quality of life health outcomes: Initial validation of a comorbidity assessment instrument

BackgroundInterventions to improve care for persons with chronic medical conditions often use quality of life (QOL) outcomes. These outcomes may be affected by coexisting (comorbid) chronic conditions as well as the index condition of interest. A subjective measure of comorbidity that incorporates an assessment of disease severity may be particularly useful for assessing comorbidity for these investigations.MethodsA survey including a list of 25 common chronic conditions was administered to a population of HMO members age 65 or older. Disease burden (comorbidity) was defined as the number of self-identified comorbid conditions weighted by the degree (from 1 to 5) to which each interfered with their daily activities. We calculated sensitivities and specificities relative to chart review for each condition. We correlated self-reported disease burden, relative to two other well-known comorbidity measures (the Charlson Comorbidity Index and the RxRisk score) and chart review, with our primary and secondary QOL outcomes of interest: general health status, physical functioning, depression screen and self-efficacy.Results156 respondents reported an average of 5.9 chronic conditions. Median sensitivity and specificity relative to chart review were 75% and 92% respectively. QOL outcomes correlated most strongly with disease burden, followed by number of conditions by chart review, the Charlson Comorbidity Index and the RxRisk score.ConclusionSelf-report appears to provide a reasonable estimate of comorbidity. For certain QOL assessments, self-reported disease burden may provide a more accurate estimate of comorbidity than existing measures that use different methodologies, and that were originally validated against other outcomes. Investigators adjusting for comorbidity in studies using QOL outcomes may wish to consider using subjective comorbidity measures that incorporate disease severity.

Impact of direct-to-consumer advertising for hereditary breast cancer testing on genetic services at a managed care organization: a naturally-occurring experiment.

Purpose: To describe the impact of Myriad Genetics, Inc.s direct-to-consumer advertising (DTC-ad) campaign on cancer genetic services within two Managed Care Organizations, Kaiser Permanente Colorado (KPCO), Denver, Colorado, where the ad campaign occurred, and Henry Ford Health System (HFHS), Detroit, Michigan, where there were no advertisements.Methods: The main outcome measures were the changes in number and pretest mutation probability of referrals approved for cancer genetic services at KPCO and HFHS during the campaign versus the year prior, and mutation probability of those undergoing testing.Results: At KPCO, referrals increased 244% during the DTC-ad compared to the same time period a year earlier (P value < 0.001). The proportion of referrals at high pretest probability of a mutation (10% or greater) dropped from 69% the previous year to 48% during the campaign (P value < 0.001). There was no significant change in pretest mutation probability among women who underwent testing between the two time periods. HFHS reported no significant change between the two time periods for numbers or mutation probability of referrals, or for mutation probability of women tested.Conclusion: The DTC-ad caused significant increase in demand for cancer genetic services. In the face of potential future DTC-ad for inherited cancer risk, providers and payers need to consider the delivery of genetic services and genetic education for persons of all risk levels.

Laboratory monitoring of drugs at initiation of therapy in ambulatory care.

BACKGROUND AND OBJECTIVES: Product labeling and published guidelines reflect the importance of monitoring laboratory parameters for drugs with a risk of organ system toxicity or electrolyte imbalance. Limited information exists about adherence to laboratory monitoring recommendations. The objective of this study was to describe laboratory monitoring among ambulatory patients dispensed medications for which laboratory testing is recommended at therapy initiation.DESIGN AND SUBJECTS: We conducted a retrospective cross-sectional analysis of patients in 10 geographically distributed health maintenance organizations who were newly prescribed medications with recommended laboratory test monitoring. The main outcome measure was the proportion of initial drug dispensing without recommended baseline laboratory monitoring for 35 newly initiated drugs or drug classes.RESULTS: One hundred seven thousand, seven hundred sixty-three of 279,354 (39%) initial drug dispensings occurred without recommended laboratory monitoring. Patients without monitoring were younger than patients who had monitoring (median 57 vs 61 years, P<.001). Thirty-two percent of dispensings where a serum creatinine was indicated did not have it evaluated (range across drugs, 12% to 61%); 39% did not have liver function testing (range 10% to 75%); 32% did not have hematologic monitoring (range 9% to 51%); and 34% did not have electrolyte monitoring (range 20% to 62%) (P<.001).CONCLUSIONS: Substantial opportunity exists to improve laboratory monitoring of drugs for which such monitoring is recommended. This study emphasizes the need for research to identify the clinical implications of not conducting recommended laboratory monitoring, existing barriers to monitoring, and methods to improve practice.

Characteristics of Patients with Primary Non-adherence to Medications for Hypertension, Diabetes, and Lipid Disorders

BACKGROUNDInformation comparing characteristics of patients who do and do not pick up their prescriptions is sparse, in part because adherence measured using pharmacy claims databases does not include information on patients who never pick up their first prescription, that is, patients with primary non-adherence. Electronic health record medication order entry enhances the potential to identify patients with primary non-adherence, and in organizations with medication order entry and pharmacy information systems, orders can be linked to dispensings to identify primarily non-adherent patients.OBJECTIVEThis study aims to use database information from an integrated system to compare patient, prescriber, and payment characteristics of patients with primary non-adherence and patients with ongoing dispensings of newly initiated medications for hypertension, diabetes, and/or hyperlipidemia.DESIGNThis is a retrospective observational cohort study.PARTICIPANTS (OR PATIENTS OR SUBJECTS)Participants of this study include patients with a newly initiated order for an antihypertensive, antidiabetic, and/or antihyperlipidemic within an 18-month period.MAIN MEASURESProportion of patients with primary non-adherence overall and by therapeutic class subgroup. Multivariable logistic regression modeling was used to investigate characteristics associated with primary non-adherence relative to ongoing dispensings.KEY RESULTSThe proportion of primarily non-adherent patients varied by therapeutic class, including 7% of patients ordered an antihypertensive, 11% ordered an antidiabetic, 13% ordered an antihyperlipidemic, and 5% ordered medications from more than one of these therapeutic classes within the study period. Characteristics of patients with primary non-adherence varied across therapeutic classes, but these characteristics had poor ability to explain or predict primary non-adherence (models c-statistics = 0.61–0.63).CONCLUSIONSPrimary non-adherence varies by therapeutic class. Healthcare delivery systems should pursue linking medication orders with dispensings to identify primarily non-adherent patients. We encourage conduct of research to determine interventions successful at decreasing primary non-adherence, as characteristics available from databases provide little assistance in predicting primary non-adherence.

Effects of reaching the drug benefit threshold on Medicare members' healthcare utilization during the first year of Medicare Part D.

Background:Information on the effects of reaching the Medicare Part D standard drug benefit threshold is limited. Objectives:Describe and compare pre- and post-threshold healthcare and medication utilization of Medicare beneficiaries who reach threshold relative to those who do not reach threshold and those who do not have a threshold. Research Design:Retrospective study of 21,349 beneficiaries enrolled into a Medicare Direct Pay Plan with a standard threshold and 9088 Part D-eligible beneficiaries without a threshold. We used Poisson methods to compare utilization and conditional Poisson models to assess utilization changes. Medication adherence was determined. Results:The 1237 (6%) beneficiaries who reached threshold were older, had greater morbidity, received more medications, and had more medical office visits (all P < 0.001) than beneficiaries who did not reach threshold. After adjustment, those who reached threshold had greater incidences of inpatient [risk ratio (IRR) = 1.85; 95% confidence interval (CI): 1.64–2.09] and emergency department use (IRR = 1.60; 95% CI: 1.40–1.83). After reaching threshold, primary care visits decreased compared with the same time frame in 2005 for those who reached threshold (IRR = 0.86; 95% CI: 0.79–0.93) and a matched group with no threshold (IRR = 0.88; 95% CI: 0.84–0.92). Adherence to chronic medications declined over time in both groups, but adherence decline was greater for beneficiaries who reached threshold. Conclusions:Beneficiaries who reach threshold are older, have more morbidity, and use more medications. Although medication adherence declines after reaching threshold, its association with changes in other healthcare utilization is not clear.

Increasing Utilization of Cancer Genetic Counseling Services Using a Patient Navigator Model

Rarely has utilization of genetic counseling for Hereditary Breast and Ovarian Cancer (HBOC) been studied separately from utilization of testing. At Kaiser Permanente Colorado, consistently only 30% of all members referred for HBOC attend genetic counseling. To increase the volume of genetic counseling appointments, a patient navigator approach was pilot tested in a randomized-controlled trial over 3 months. A total of 125 members were referred for HBOC genetic counseling (55 randomized to PN, 70 randomized to usual care). Utilization of referrals for Navigator-assisted members was 44%, compared to 31% in the usual care arm (p=0.16). The patient navigator significantly decreased time to appointment, with over 80% of Navigator-assisted members seen for genetic counseling less than three months from referral date, compared to 32% in usual care (p=0.002). patient navigator assistance shortens time from referral to appointment for HBOC genetic counseling, and may increase utilization of such services.

Association of Patient-Centered Outcomes With Patient-Reported and ICD-9–Based Morbidity Measures

PURPOSE Evaluating patient-centered care for complex patients requires morbidity measurement appropriate for use with a variety of clinical outcomes. We compared the contributions of self-reported morbidity and morbidity measured using administrative diagnosis data for both patient-reported outcomes and utilization outcomes. METHODS Using a cohort of 961 persons aged 65 years or older with 3 or more medical conditions, we explored 9 health outcomes as a function of 4 independent variables representing different types of morbidity measures: International Classification of Diseases, Ninth Revision (ICD-9), a self-reported weighted count of conditions, and self-reported symptoms of depression and of anxiety. Outcomes varied from self-reported health status to utilization. Depending on the outcome measure, we used multivariate linear, negative binomial, or logistic regression, adjusting for demographic characteristics and length of enrollment to assess associations between dependent and all 4 independent variables. RESULTS Higher morbidity measured by ICD-9 diagnoses was independently associated with less favorable levels of 7 of the 9 clinical outcomes. Higher self-reported disease burden was significantly associated with less favorable levels of 8 of the outcomes, controlling for the 3 other morbidity measures. Morbidity measured by diagnosis code was more strongly associated with higher utilization, whereas self-reported disease burden and emotional symptoms were more strongly associated with patient-reported outcomes. CONCLUSIONS A comprehensive assessment of morbidity requires both subjective and objective measurement of disease burden as well as an assessment of emotional symptoms. Such multidimensional morbidity measurement is particularly relevant for research or quality assessments involving the delivery of patient-centered care to complex patient populations.

How safe is triage by an after-hours telephone call center?

OBJECTIVES. Our goals were to assess (1) compliance with nurse disposition recommendations, (2) frequency of death or potential underreferral associated with hospitalization within 24 hours after a call, and (3) factors associated with potential underreferral, for children receiving care within an integrated health care delivery organization who were triaged by a pediatric after-hours call center. METHODS. The study population included all pediatric patients enrolled in Kaiser Permanente Colorado whose families called the Childrens Hospital after-hours call center in Denver, Colorado, during the period between October 1, 1999, and March 31, 2003. Postcall disposition recommendations were categorized as urgent (visit within 4 hours), next day (visit in >4 hours but within 24 hours), later visit (visit in >24 hours), or home care (care at home without a visit). Compliance with the nurses’ triage disposition recommendations was calculated as the proportion of cases for which utilization data matched the disposition recommendations. RESULTS. Of the 32968 eligible calls during the study period, 21% received urgent, 27% next day, 4% later visit, and 48% home care disposition recommendations. Rates of compliance with both urgent and home care disposition recommendations were 74%, and the rate of compliance with next day recommendations was 44%. No deaths occurred within <1 week after the after-hours calls. The rate of potential underreferral with subsequent hospitalization was 0.2%, or 1 case per 599 triaged calls. In multivariate modeling, age of <6 weeks or >12 years and being triaged after 11 pm were associated with higher rates of potential under-referral. CONCLUSIONS. Approximately three fourths of families complied with recommendations for their child to be evaluated urgently or to be treated at home, with much lower rates of compliance with intermediate dispositions. The rate of potential underreferral with hospitalization was low, and age and time of call triage were associated with this outcome.

Effect of continuity of care on hospital utilization for seniors with multiple medical conditions in an integrated health care system.

PURPOSE Lower continuity of care has been associated with higher rates of adverse outcomes for persons with multiple chronic medical conditions. It is unclear, however, whether this relationship also exists within integrated systems that offer high levels of informational continuity through shared electronic health records. METHODS We conducted a retrospective cohort study of 12,200 seniors with 3 or more chronic conditions within an integrated delivery system. Continuity of care was calculated using the Continuity of Care Index, which reflects visit concentration with individual clinicians. Using Cox proportional hazards regression permitting continuity to vary monthly until the outcome or censoring event, we separately assessed inpatient admissions and emergency department visits as a function of primary care continuity and specialty care continuity. RESULTS After adjusting for covariates (demographics; baseline, primary, and specialty care visits; baseline outcomes; and morbidity burden), greater primary care continuity and greater specialty care continuity were each associated with a lower risk of inpatient admission (respective hazard ratios (95% CIs) = 0.97 (0.96, 0.99) and 0.95 (0.93, 0.98)) and a lower risk of emergency department visits (respective hazard ratios = 0.97 (0.96, 0.98) and 0.98 (0.96, 1.00)). For the subgroup with 3 or more primary care and 3 or more specialty care visits, specialty care continuity (but not primary care continuity) was independently associated with a decreased risk of inpatient admissions (hazard ratio = 0.94 (0.92, 0.97)), and primary care continuity (but not specialty care continuity) was associated with a decreased risk of emergency department visits (hazard ratio = 0.98 (0.96, 1.00)). CONCLUSIONS In an integrated delivery system with high informational continuity, greater continuity of care is independently associated with lower hospital utilization for seniors with multiple chronic medical conditions. Different subgroups of patients will benefit from continuity with primary and specialty care clinicians depending on their care needs.