Jennifer L. Wolff
Johns Hopkins University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jennifer L. Wolff.
Journal of General Internal Medicine | 2010
Cynthia M. Boyd; Lisa Reider; Katherine Frey; Daniel O. Scharfstein; Bruce Leff; Jennifer L. Wolff; Carol Groves; Lya Karm; Stephen T. Wegener; Jill A. Marsteller; Chad Boult
BACKGROUNDThe quality of health care for older Americans with chronic conditions is suboptimal.OBJECTIVETo evaluate the effects of “Guided Care” on patient-reported quality of chronic illness care.DESIGNCluster-randomized controlled trial of Guided Care in 14 primary care teams.PARTICIPANTSOlder patients of these teams were eligible to participate if, based on analysis of their recent insurance claims, they were at risk for incurring high health-care costs during the coming year. Small teams of physicians and their at-risk older patients were randomized to receive either Guided Care (GC) or usual care (UC).INTERVENTION“Guided Care” is designed to enhance the quality of health care by integrating a registered nurse, trained in chronic care, into a primary care practice to work with 2–5 physicians in providing comprehensive chronic care to 50–60 multi-morbid older patients.MEASUREMENTSEighteen months after baseline, interviewers blinded to group assignment administered the Patient Assessment of Chronic Illness Care (PACIC) survey by telephone. Logistic and linear regression was used to evaluate the effect of the intervention on patient-reported quality of chronic illness care.RESULTSOf the 13,534 older patients screened, 2,391 (17.7%) were eligible to participate in the study, of which 904 (37.8%) gave informed consent and were cluster-randomized. After 18 months, 95.3% and 92.2% of the GC and UC recipients who remained alive and eligible completed interviews. Compared to UC recipients, GC recipients had twice greater odds of rating their chronic care highly (aOR = 2.13, 95% CI = 1.30–3.50, p = 0.003).CONCLUSIONGuided Care improves self-reported quality of chronic health care for multi-morbid older persons.
BMC Pulmonary Medicine | 2012
Kerry Schnell; Carlos O. Weiss; Todd A. Lee; Jerry A. Krishnan; Bruce Leff; Jennifer L. Wolff; Cynthia M. Boyd
BackgroundTreatment of chronic diseases such as chronic obstructive pulmonary disease (COPD) is complicated by the presence of comorbidities. The objective of this analysis was to estimate the prevalence of comorbidity in COPD using nationally-representative data.MethodsThis study draws from a multi-year analytic sample of 14,828 subjects aged 45+, including 995 with COPD, from the National Health and Nutrition Examination Survey (NHANES), 1999–2008. COPD was defined by self-reported physician diagnosis of chronic bronchitis or emphysema; patients who reported a diagnosis of asthma were excluded. Using population weights, we estimated the age-and-gender-stratified prevalence of 22 comorbid conditions that may influence COPD and its treatment.ResultsSubjects 45+ with physician-diagnosed COPD were more likely than subjects without physician-diagnosed COPD to have coexisting arthritis (54.6% vs. 36.9%), depression (20.6% vs. 12.5%), osteoporosis (16.9% vs. 8.5%), cancer (16.5% vs. 9.9%), coronary heart disease (12.7% vs. 6.1%), congestive heart failure (12.1% vs. 3.9%), and stroke (8.9% vs. 4.6%). Subjects with COPD were also more likely to report mobility difficulty (55.6% vs. 32.5%), use of >4 prescription medications (51.8% vs. 32.1), dizziness/balance problems (41.1% vs. 23.8%), urinary incontinence (34.9% vs. 27.3%), memory problems (18.5% vs. 8.8%), low glomerular filtration rate (16.2% vs. 10.5%), and visual impairment (14.0% vs. 9.6%). All reported comparisons have p < 0.05.ConclusionsOur study indicates that COPD management may need to take into account a complex spectrum of comorbidities. This work identifies which conditions are most common in a nationally-representative set of COPD patients (physician-diagnosed), a necessary step for setting research priorities and developing clinical practice guidelines that address COPD within the context of comorbidity.
Social Science & Medicine | 2011
Jennifer L. Wolff; Debra L. Roter
Older adults are commonly accompanied to routine physician visits, primarily by adult children and spouses. This is the first review of studies investigating the dynamics and consequences of patient accompaniment. Two types of evidence were examined: (1) observational studies of audio and/or videotaped medical visits, and (2) surveys of patients, families, or health care providers that ascertained experiences, expectations, and preferences for family companion presence and behaviors in routine medical visits. Meta-analytic techniques were used to summarize the evidence describing attributes of unaccompanied and accompanied patients and their companions, medical visit processes, and patient outcomes. The weighted mean rate of patient accompaniment to routine adult medical visits was 37.6% in 13 contributing studies. Accompanied patients were significantly older and more likely to be female, less educated, and in worse physical and mental health than unaccompanied patients. Companions were on average 63 years of age, predominantly female (79.4%), and spouses (54.7%) or adult children (32.2%) of patients. Accompanied patient visits were significantly longer, but verbal contribution to medical dialog was comparable when accompanied patients and their family companion were compared with unaccompanied patients. When a companion was present, health care providers engaged in more biomedical information giving. Given the diversity of outcomes, pooled estimates could not be calculated: of 5 contributing studies 0 were unfavorable, 3 inconclusive, and 2 favorable for accompanied relative to unaccompanied patients. Study findings suggest potential practical benefits from more systematic recognition and integration of companions in health care delivery processes. We propose a conceptual framework to relate family companion presence and behaviors during physician visits to the quality of interpersonal health care processes, patient self management and health care.
Journal of the American Geriatrics Society | 2005
Jennifer L. Wolff; Chad Boult; Cynthia M. Boyd; Gerard F. Anderson
Objectives: To examine the relationship between newly reported chronic conditions and subsequent functional dependency in older adults.
Chronic Illness | 2007
Elizabeth A. Bayliss; Hayden B. Bosworth; Polly Hitchcock Noël; Jennifer L. Wolff; Teresa M. Damush; L. Mciver
Increasing numbers of persons live with complex chronic medical needs and are at risk for poor health outcomes. These patients require unique self-management support, as they must manage many, often interacting, tasks. As part of a conference on Managing Complexity in Chronic Care sponsored by the Department of Veterans Affairs, a working group was convened to consider self-management issues specific to complex chronic care. In this paper, we assess gaps in current knowledge on self-management support relevant to this population, report on the recommendations of our working group, and discuss directions for future study. We conclude that this population requires specialized, multidimensional self-management support to achieve a range of patient-centred goals. New technologies and models of care delivery may provide opportunities to develop this support. Validation and quantification of these processes will require the development of performance measures that reflect the needs of this population, and research to prove effectiveness.
Archive | 2012
Karen Adams; Elizabeth A. Bayliss; David Blumenthal; Cynthia M. Boyd; Jack M. Guralnik; Alexander H. Krist; Andrea Z. LaCroix; Donald L. Patrick; Mary D. Naylor; David B. Reuben; Mary E. Tinetti; Robert B. Wallace; John E. Ware; Marcel E. Salive; Jennifer L. Wolff; Evan C. Hadley
Older adults with multiple chronic conditions (MCCs) require considerable health services and complex care. Because the persistence and progression of diseases and courses of treatments affect health status in multiple dimensions, well‐validated universal outcome measures across diseases are needed for research, clinical care, and administrative purposes. An expert panel meeting held by the National Institute on Aging in September 2011 recommends that older persons with MCCs complete a brief initial composite measure that includes general health; pain; fatigue; and physical health, mental health, and social role function, along with gait speed measurement. Suitable composite measures include the Medical Outcomes Study 8 (SF‐8) and 36 (SF‐36) ‐item Short‐Form Survey and the Patient Reported Outcomes Measurement Information System 29‐item Health Profile. Based on responses to items in the initial measure, short follow‐on measures should be selectively targeted to symptom burden, depression, anxiety, and daily activities. Persons unable to walk a short distance to assess gait speed should be assessed using a physical function scale. Remaining gaps to be considered for measure development include disease burden, cognitive function, and caregiver burden. Routine outcome assessment of individuals with MCCs could facilitate system‐based care improvement and clinical effectiveness research.
Journal of the American Geriatrics Society | 2011
Cynthia M. Boyd; Bruce Leff; Jennifer L. Wolff; Qilu Yu; Jing Zhou; Cynthia Rand; Carlos O. Weiss
OBJECTIVES: To describe the prevalence of coexisting conditions that affect clinical decision‐making in adults with coronary heart disease (CHD).
Annals of Family Medicine | 2010
Jill A. Marsteller; Yea Jen Hsu; Lisa Reider; Katherine Frey; Jennifer L. Wolff; Cynthia M. Boyd; Bruce Leff; Lya Karm; Daniel O. Scharfstein; Chad Boult
PURPOSE Chronically ill older patients with multiple conditions are challenging to care for, and new models of care for this population are needed. This study evaluates the effect of the Guided Care model on primary care physicians’ impressions of processes of care for chronically ill older patients. METHODS In Guided Care a specially educated registered nurse works at the practice with 2 to 5 primary care physicians, performing 8 clinical activities for 50 to 60 chronically ill older patients. The care model was tested in a cluster-randomized controlled trial between 2006 and 2009. All eligible primary care physicians in 14 pods (teams of physicians and their chronically ill older patients) agreed to participate (n = 49). Pods were randomly assigned to provide either Guided Care or usual care. Physicians were surveyed at baseline and 1 year later. We assessed the effects of Guided Care using responses from 38 physicians who completed both survey questionnaires. We measured physicians’ satisfaction with chronic care processes, time spent on chronic care, knowledge of their chronically ill older patients, and care coordination provided by physicians and office staff. RESULTS Compared with the physicians in the control group, those in the Guided Care group rated their satisfaction with patient/family communication and their knowledge of the clinical characteristics of their chronically ill older patients significantly higher (ρ<0.05 in linear regression models). Other differences did not reach statistical significance. CONCLUSIONS Based on physician report, Guided Care provides important benefits to physicians by improving communication with chronically ill older patients and their families and in physicians’ knowledge of their patients’ clinical conditions.
Medical Care | 2010
Caroline S. Blaum; Christine T. Cigolle; Cynthia M. Boyd; Jennifer L. Wolff; Zhiyi Tian; Kenneth M. Langa; David R. Weir
Background:Some patients with diabetes may have health status characteristics that could make diabetes self-management (DSM) difficult and lead to inadequate glycemic control, or limit the benefit of some diabetes management interventions. Objective:To investigate how many older and middle-aged adults with diabetes have such health status characteristics. Design:Secondary data analysis of a nationally representative health interview survey, the Health and Retirement Study, and its diabetes mail-out survey. Setting/Participants:Americans aged 51 and older with diabetes (n = 3506 representing 13.6 million people); aged 56 and older in diabetes survey (n = 1132, representing 9.9 million). Measurements:Number of adults with diabetes and (a) relatively good health; (b) health status that could make DSM difficult (eg, comorbidities, impaired instrumental activities of daily living; and (c) characteristics like advanced dementia and activities of daily living dependency that could limit benefit of some diabetes management. Health and Retirement Study measures included demographics. Diabetes Survey included self-measured HbA1c. Results:Nearly 22% of adults ≥51 with diabetes (about 3 million people) have health characteristics that could make DSM difficult. Another 10% (1.4 million) may receive limited benefit from some diabetes management. Mail-out respondents with health characteristics that could make DSM difficult had significantly higher mean HbA1c compared with people with relatively good health (7.6% vs. 7.3%, P < 0.04.). Conclusions:Some middle-aged as well as older adults with diabetes have health status characteristics that might make DSM difficult or of limited benefit. Current diabetes quality measures, including measures of glycemic control, may not reflect what is possible or optimal for all patient groups.
Medical Care | 2014
Cynthia M. Boyd; Jennifer L. Wolff; Erin R. Giovannetti; Lisa Reider; Carlos O. Weiss; Qian Li Xue; Bruce Leff; Chad Boult; Travonia Hughes; Cynthia S. Rand
Background:Applying disease-specific guidelines to people with multimorbidity may result in complex regimens that impose treatment burden. Objectives:To describe and validate a measure of healthcare task difficulty (HCTD) in a sample of older adults with multimorbidity. Research Design:Cross-sectional and longitudinal secondary data analysis. Subjects:Multimorbid adults aged 65 years or older from primary care clinics. Measures:We generated a scale (0–16) of self-reported difficulty with 8 HCTD and conducted factor analysis to assess its dimensionality and internal consistency. To assess predictive ability, cross-sectional associations of HCTD and number of chronic diseases, and conditions that add to health status complexity (falls, visual, and hearing impairment), patient activation, patient-reported quality of chronic illness care (Patient Assessment of Chronic Illness Care), mental and physical health (SF-36) were tested using statistical tests for trend (n=904). Longitudinal analyses of the effects of change in HCTD on changes in the outcomes were conducted among a subset (n=370) with ≥1 follow-up at 6 and/or 18 months. All models were adjusted for age, education, sex, race, and time. Results:Greater HCTD was associated with worse mental and physical health [Cuzick test for trend (P<0.05)], and patient-reported quality of chronic illness care (P<0.05). In longitudinal analysis, increasing patient activation was associated with declining HCTD over time (P<0.01). Increasing HCTD over time was associated with declining mental (P<0.001) and physical health (P=0.001) and patient-reported quality of chronic illness care (P<0.05). Conclusions:The findings of this study establish the construct validity of the HCTD scale.