A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries.

BACKGROUND: Injuries from falls are major contributors to complications and death in older adults. Despite evidence from efficacy trials that many falls can be prevented, rates of falls resulting in injury have not declined. METHODS: We conducted a pragmatic, cluster-randomized trial to evaluate the effectiveness of a multifactorial intervention that included risk assessment and individualized plans, administered by specially trained nurses, to prevent fall injuries. A total of 86 primary care practices across 10 health care systems were randomly assigned to the intervention or to enhanced usual care (the control) (43 practices each). The participants were community-dwelling adults, 70 years of age or older, who were at increased risk for fall injuries. The primary outcome, assessed in a time-to-event analysis, was the first serious fall injury, adjudicated with the use of participant report, electronic health records, and claims data. We hypothesized that the event rate would be lower by 20% in the intervention group than in the control group. RESULTS: The demographic and baseline characteristics of the participants were similar in the intervention group (2802 participants) and the control group (2649 participants); the mean age was 80 years, and 62.0% of the participants were women. The rate of a first adjudicated serious fall injury did not differ significantly between the groups, as assessed in a time-to-first-event analysis (events per 100 person-years of follow-up, 4.9 in the intervention group and 5.3 in the control group; hazard ratio, 0.92; 95% confidence interval [CI], 0.80 to 1.06; P = 0.25). The rate of a first participant-reported fall injury was 25.6 events per 100 person-years of follow-up in the intervention group and 28.6 events per 100 person-years of follow-up in the control group (hazard ratio, 0.90; 95% CI, 0.83 to 0.99; P = 0.004). The rates of hospitalization or death were similar in the two groups. CONCLUSIONS: A multifactorial intervention, administered by nurses, did not result in a significantly lower rate of a first adjudicated serious fall injury than enhanced usual care. (Funded by the Patient-Centered Outcomes Research Institute and others; STRIDE ClinicalTrials.gov number, NCT02475850.).

Healthcare task difficulty among older adults with multimorbidity.

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.

A matched-pair cluster-randomized trial of guided care for high-risk older patients.

BACKGROUND: Patients at risk for generating high health care expenditures often receive fragmented, low-quality, inefficient health care. Guided Care is designed to provide proactive, coordinated, comprehensive care for such patients. OBJECTIVE: We hypothesized that Guided Care, compared to usual care, produces better functional health and quality of care, while reducing the use of expensive health services. DESIGN: 32-month, single-blind, matched-pair, cluster-randomized controlled trial of Guided Care, conducted in eight community-based primary care practices. PATIENTS: The "Hierarchical Condition Category" (HCC) predictive model was used to identify high-risk older patients who were insured by fee-for-service Medicare, a Medicare Advantage plan or Tricare. Patients with HCC scores in the highest quartile (at risk for generating high health care expenditures during the coming year) were eligible to participate. INTERVENTION: A registered nurse collaborated with two to five primary care physicians in providing eight services to participants: comprehensive assessment, evidence-based care planning, proactive monitoring, care coordination, transitional care, coaching for self-management, caregiver support, and access to community-based services. MAIN MEASURES: Functional health was measured using the Short Form-36. Quality of care and health services utilization were measured using the Patient Assessment of Chronic Illness Care and health insurance claims, respectively. KEY RESULTS: Of the eligible patients, 904 (37.8 %) gave written consent to participate; of these, 477 (52.8 %) completed the final interview, and 848 (93.8 %) provided complete claims data. In intention-to-treat analyses, Guided Care did not significantly improve participants' functional health, but it was associated with significantly higher participant ratings of the quality of care (difference = 0.27, 95 % CI = 0.08-0.45) and 29 % lower use of home care (95 % CI = 3-48 %). CONCLUSIONS: Guided Care improves high-risk older patients' ratings of the quality of their care, and it reduces their use of home care, but it does not appear to improve their functional health.

Do older patients and their family caregivers agree about the quality of chronic illness care?

OBJECTIVE: Family caregivers often accompany patients to medical visits; however, it is unclear whether caregivers rate the quality of patients' care similarly to patients. This study aimed to (1) quantify the level of agreement between patients' and caregivers' reports on the quality of patients' care and (2) determine how the level of agreement varies by caregiver and patient characteristics. DESIGN: Cross-sectional analysis. PARTICIPANTS: Multimorbid older (aged 65 and above) adults and their family caregivers (n = 247). METHODS: Quality of care was rated separately by patients and their caregivers using the Patient Assessment of Chronic Illness Care (PACIC) instrument. The level of agreement was examined using a weighted kappa statistic (Kw). RESULTS: Agreement of caregivers' and patients' PACIC scores was low (Kw = 0.15). Patients taking ten or more medications per day showed less agreement with their caregivers about the quality of care than patients taking five or fewer medications (Kw = 0.03 and 0.34, respectively, P < 0.05). Caregivers who reported greater difficulty assisting patients with health care tasks had less agreement with patients about the quality of care being provided when compared with caregivers who reported no difficulty (Kw = -0.05 and 0.31, respectively, P < .05). Patient-caregiver dyads had greater agreement on objective questions than on subjective questions (Kw = 0.25 and 0.15, respectively, P > 0.05). CONCLUSION: Patient-caregiver dyads following a more complex treatment plan (i.e. taking many medications) or having more difficulty following a treatment plan (i.e. having difficulty with health care tasks) had less agreement. Future qualitative research is needed to elucidate the underlying reasons patients and caregivers rate the quality of care differently.

Who participates in chronic disease self-management (CDSM) programs? Differences between participants and nonparticipants in a population of multimorbid older adults.

BACKGROUND: Self-care management is recognized as a key component of care for multimorbid older adults; however, the characteristics of those most likely to participate in Chronic Disease Self-Management (CDSM) programs and strategies to maximize participation in such programs are unknown. OBJECTIVES: To identify individual factors associated with attending CDSM programs in a sample of multimorbid older adults. RESEARCH DESIGN: Participants in the intervention arm of a matched-pair cluster-randomized controlled trial of the Guided Care model were invited to attend a 6-session CDSM course. Logistic regression was used to identify factors independently associated with attendance. SUBJECTS: All subjects (N = 241) were aged 65 years or older, were at high risk for health care utilization, and were not homebound. MEASURES: Baseline information on demographics, health status, health activities, and quality of care was available for CDSM participants and nonparticipants. Participation was defined as attendance at 5 or more CDSM sessions. RESULTS: A total of 22.8% of multimorbid older adults who were invited to CDSM courses participated in 5 or more sessions. Having better physical health (odds ratio [95% confidence interval] = 2.3 [1.1-4.8]) and rating one's physician poorly on support for patient activation (odds ratio [95% confidence interval] = 2.8 [1.3-6.0]) were independently associated with attendance. CONCLUSIONS: Multimorbid older adults who are in better physical health and who are dissatisfied with their physicians' support for patient activation are more likely to participate in CDSM courses.

Difficulty assisting with health care tasks among caregivers of multimorbid older adults.

BACKGROUND: Family caregivers provide assistance with health care tasks for many older adults with chronic illnesses. The difficulty they experience in providing this assistance, and related implications for their well-being, have not been well described. OBJECTIVE: The objectives of this study are: (1) to describe caregiver's health care task difficulty (HCTD), (2) determine the characteristics associated with HCTD, and (3) explore the association between HCTD and caregiver well-being. DESIGN: This is a cross-sectional study. PARTICIPANTS: Baseline sample of caregivers to older (aged 65+ years) multimorbid adults enrolled in an ongoing cluster-randomized controlled trial (N = 308). MAIN MEASURES: The HCTD scale (0-16) is comprised of questions measuring self-reported difficulty in assisting older adults with eight health care tasks, including taking medication, visiting health care providers, and managing medical bills. Caregivers were categorized using this scale into no, low, medium, and high HCTD groups. We used ordinal logistic regression and multivariate linear regression analyses to examine the relationships between HCTD, caregiver self-efficacy, caregiver strain (Caregiver Strain Index), and depression (Center for Epidemiological Studies Depression Scale), controlling for patient and caregiver socio-demographic and health factors. KEY RESULTS: Caregiver age and number of health care tasks performed were positively associated with increased HCTD. The quality of the caregiver's relationship with the patient, and self-efficacy were inversely associated with increased HCTD. A one-point increase in self-efficacy was associated with a significant lower odds of reporting high HCTD (OR, 0.64; 95% CI, 0.54, 0.77).Adjusted linear regression models indicated that high HCTD was independently associated with significantly greater caregiver strain (B, 2.7; 95% CI, 1.12, 4.29) and depression (B, 3.01; 95% CI, 1.06, 4.96). CONCLUSIONS: This study demonstrates that greater HCTD is associated with increased strain and depression among caregivers of multimorbid older adults. That caregiver self-efficacy was strongly associated with HCTD suggests health-system-based educational and empowering interventions might improve caregiver well-being.

Preliminary Validation of a Patient-Reported Measure of the Age-Friendliness of Health Care.

BACKGROUND/OBJECTIVE: To evaluate the validity and reliability of a patient-reported measure of the "age-friendliness" of health care. DESIGN: Based on four essential domains of high-quality health care for older outpatients (Medications, Mobility, Mentation and "what Matters," i.e., the 4 M's), we drafted a five-item questionnaire for older outpatients to rate the age-friendliness of their health care. One question addressed each of the 4 M's; the fifth addressed the overall age-friendliness of their care. After feedback from healthcare professionals, quality improvement experts, and a patient-caregiver focus group, we revised the items to create the Age-Friendliness Questionnaire (AFQ). SETTING We tested the AFQ by appending it to two surveys. PARTICIPANTS: Older outpatients in Idaho during July to October 2019: Survey 1, with 23 other items, was sent to 1,257 older patients who were medically complex; Survey 2, with 35 other items, was sent to 2,873 older patients who visited outpatient primary care providers (PCPs) during the specified time period. MEASUREMENTS: Respondents rated their providers' performance using a 1 to 5 ("never" to "always") scale for each of the five items (possible AFQ scores = 5-25). RESULTS: The response rates were 41.4% and 33.3%, respectively. In Survey 1, the mean AFQ score from patients who had received care from a geriatrics consult clinic was higher than that from patients who had received their care from PCPs (19.3 vs 15.6; P < .001), and AFQ scores correlated with other quality-of-care scores. In Survey 2, AFQ scores predicted respondents' likelihood of recommending their providers to others (P < .001). The AFQ exhibited high internal reliability (interitem correlations = .49-.77; Cronbach's α = .89). CONCLUSION: The AFQ appears to be a valid and reliable measure of the age-friendliness of outpatient care for older patients, and it predicts the likelihood that they will recommend their providers to others.

Effect of a Multifactorial Fall Injury Prevention Intervention on Patient Well-Being: The STRIDE Study.

BACKGROUND/OBJECTIVES: In the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) study, a multifactorial intervention was associated with a nonsignificant 8% reduction in time to first serious fall injury but a significant 10% reduction in time to first self-reported fall injury relative to enhanced usual care. The effect of the intervention on other outcomes important to patients has not yet been reported. We aimed to evaluate the effect of the intervention on patient well-being including concern about falling, anxiety, depression, physical function, and disability. DESIGN: Pragmatic cluster-randomized trial of 5,451 community-living persons at high risk for serious fall injuries. SETTING: A total of 86 primary care practices within 10 U.S. healthcare systems. PARTICIPANTS: A random subsample of 743 persons aged 75 and older. MEASUREMENTS: The well-being measures, assessed at baseline, 12 months, and 24 months, included a modified version of the Fall Efficacy Scale, Patient-Reported Outcomes Measurement Information System (PROMIS) anxiety and depression scales, and Late-Life Function and Disability Instrument. RESULTS: Participants in the intervention (n = 384) and control groups (n = 359) were comparable in age: mean (standard deviation) of 81.9 (4.7) versus 81.8 (5.0) years. Mean scores were similar between groups at 12 and 24 months for concern about falling, physical function, and disability, whereas the intervention group's mean scores on anxiety and depression were .7 points lower (i.e., better) at 12 months and .6 to .8 points lower at 24 months. For each of these outcomes, differences between the groups' adjusted least square mean changes from baseline to 12 and 24 months, respectively, were quantitatively small. The overall difference in means between groups over 2 years was statistically significant only for depression, favoring the intervention: -1.19 (99% confidence interval, -2.36 to -.02), with 3.5 points representing a minimally important difference. CONCLUSIONS: STRIDE's multifactorial intervention to reduce fall injuries was not associated with clinically meaningful improvements in patient well-being.

The effects of guided care on the perceived quality of health care for multi-morbid older persons: 18-month outcomes from a cluster-randomized controlled trial.

BACKGROUND: The quality of health care for older Americans with chronic conditions is suboptimal. OBJECTIVE: To evaluate the effects of "Guided Care" on patient-reported quality of chronic illness care. DESIGN: Cluster-randomized controlled trial of Guided Care in 14 primary care teams. PARTICIPANTS: Older 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. MEASUREMENTS: Eighteen 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. RESULTS: Of 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). CONCLUSION: Guided Care improves self-reported quality of chronic health care for multi-morbid older persons.

Physician satisfaction with chronic care processes: a cluster-randomized trial of guided care.

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 (rho<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.

Comprehensive primary care for older patients with multiple chronic conditions: "Nobody rushes you through".

Older patients with multiple chronic health conditions and complex health care needs often receive care that is fragmented, incomplete, inefficient, and ineffective. This article describes the case of an older woman whose case cannot be managed effectively through the customary approach of simply diagnosing and treating her individual diseases. Based on expert consensus about the available evidence, this article identifies 4 proactive, continuous processes that can substantially improve the primary care of community-dwelling older patients who have multiple chronic conditions: comprehensive assessment, evidence-based care planning and monitoring, promotion of patients' and (family caregivers') active engagement in care, and coordination of professionals in care of the patient--all tailored to the patient's goals and preferences. Three models of chronic care that include these processes and that appear to improve some aspects of the effectiveness and the efficiency of complex primary care--the Geriatric Resources for Assessment and Care of Elders (GRACE) model, Guided Care, and the Program of All-inclusive Care for the Elderly (PACE)--are described briefly, and steps toward their implementation are discussed.

Construct validity of the Work Productivity and Activity Impairment questionnaire across informal caregivers of chronically ill older patients.

OBJECTIVES: To assess the validity of the Work Productivity and Activity Impairment questionnaire as adapted for caregiving (WPAI:CG) to measure productivity loss (hours missed from work, impairment while at work, and impairment in regular activities) due to unpaid caregiving for medically complex older adults. METHODS: The WPAI:CG was administered along with the Caregiver Strain Index (CSI) and Center for Epidemiologic Studies Depression Scale (CESD) to a caregiving population (N = 308) enrolled with their older, medically complex care-recipient in a cluster-randomized controlled study. Correlation coefficients were calculated between each productivity variable derived from the WPAI:CG and CSI/CESD scores. Nonparametric tests for trend across ordered groups were carried out to examine the relationship between each productivity variable and the intensity of the caregiving. RESULTS: Significant positive correlations were found between work productivity loss and caregiving-related strain (r = 0.45) and depression (r = 0.30). Measures of productivity loss were also highly associated with caregiving intensity (P < 0.05) and care-recipient medical care use (P < 0.05). The average employed caregiver reported 1.5 hours absence from work in the previous week and 18.5% reduced productivity while at work due to caregiving. Employed and nonemployed caregivers reported 27.2% reduced productivity in regular activities in the previous week. CONCLUSION: The results indicate high convergent validity of the WPAI:CG questionnaire. This measure could facilitate research on the cost-effectiveness of caregiver-workplace interventions and provide employers and policy experts with a more accurate and comprehensive estimate of caregiving-related costs incurred by employers and society.

A pilot test of the effect of guided care on the quality of primary care experiences for multimorbid older adults.

OBJECTIVE: Improving health care of multimorbid older adults is a critical public health challenge. The objective of this study is to evaluate the effect of a pilot intervention to enhance the quality of primary care experiences for chronically ill older persons (Guided Care). DESIGN: Nonrandomized prospective clinical trial. PATIENTS/PARTICIPANTS: Older, chronically ill, community-dwelling patients (N = 150) of 4 General Internists in 1 urban community practice setting who were members of a capitated health plan and identified as being at high risk of heavy use of health services in the coming year by claims-based predictive modeling. INTERVENTIONS: Guided Care, an enhancement to primary care that incorporates the operative principles of chronic care innovations, was delivered by a specially trained, practice-based registered nurse working closely with 2 primary care physicians. Each patient received a geriatric assessment, a comprehensive care plan, evidence-based primary care with proactive follow-up of chronic conditions, coordination of the efforts of health professionals across all health care settings, and facilitated access to community resources. MEASUREMENTS AND MAIN RESULTS: Quality of primary care experiences (physician-patient communication, interpersonal treatment, knowledge of patient, integration of care, and trust in physician) was assessed using the Primary Care Assessment Survey (PCAS) at baseline and 6 months later. At baseline, the patients assigned to receive Guided Care were similar to those assigned to receive usual care in their demographics and disability levels, but they had higher risk scores and were less likely to be married. Thirty-one of the 75 subjects assigned to the Guided Care group received the intervention. At 6 months, intention-to-treat analyses adjusting for age, gender, and risk score suggest that Guided Care may improve the quality of physician-patient communication. In per-protocol analyses, receipt of Guided Care was associated with more favorable change than usual care from baseline to follow-up in all 5 PCAS domains, but only physician-patient communication showed a statistically significant improvement. CONCLUSIONS: In this pilot study, Guided Care appeared to improve the quality of primary care experiences for high-risk, chronically ill older adults. A larger cluster-randomized controlled trial of Guided Care is underway.

Early effects of "Guided Care" on the quality of health care for multimorbid older persons: a cluster-randomized controlled trial.

BACKGROUND: The quality of health care for older Americans with multiple chronic conditions is suboptimal. We designed "Guided Care" (GC) to enhance quality of care by integrating a registered nurse, intensively trained in chronic care, into primary care practices to work with physicians in providing comprehensive chronic care to 50-60 multimorbid older patients. METHODS: We hypothesized that GC would improve the quality of health care for this population. In 2006, we began a cluster-randomized controlled trial of GC at eight practices (n = 49 physicians). Older patients of these practices were eligible to participate if they were at risk for using health services heavily during the coming year. Teams of two to five physicians and their at-risk older patients were randomized to either GC or usual care (UC). Six months after baseline, participants rated the quality of their health care by answering validated closed-ended questions from telephone interviewers who were masked to group assignment. RESULTS: Of the 13,534 older patients screened, 2391 (17.7%) were eligible to participate in the study, of which 904 (37.8%) gave informed consent and were cluster-randomized. After 6 months, 93.8% and 93.2% of the GC and UC participants who remained alive and eligible completed telephone interviews. GC participants were more likely than UC participants to rate their care highly (adjusted odds ratio = 2.0, 95% confidence interval, 1.2-3.4, p =.006), and primary care physicians were more likely to be satisfied with their interactions with chronically ill older patients and their families (p <.05). CONCLUSIONS: GC improves important aspects of the quality of health care for multimorbid older persons. Additional data will become available as this trial continues.

Postdischarge environmental and socioeconomic factors and the likelihood of early hospital readmission among community-dwelling Medicare beneficiaries.

PURPOSE: This study attempts to determine the associations between postdischarge environmental (PDE) and socioeconomic (SES) factors and early readmission to hospitals. DESIGN AND METHODS: This study was a cohort study using the 2001 Medicare Current Beneficiary Survey and Medicare claims for the period from 2001 to 2002. The participants were community-dwelling Medicare beneficiaries admitted to hospitals, discharged home, and surviving at least 1 year after discharge (n = 1,351). The study measurements were early readmission (within 60 days), PDE factors, and SES factors. PDE factors consisted of having a usual source of care, requiring assistance to see the usual source of care, marital status, living alone, lacking self-management skills, having unmet functional need, having no helpers with activities of daily living, number of living children, and number of levels in the home. SES factors consisted of education, income, and Medicaid enrollment. RESULTS: Of the 1,351 beneficiaries, 202 (15.0%) experienced an early readmission. After adjustment for demographics, health, and functional status, the odds of early readmission were increased by living alone (odds ratio or OR = 1.50, 95% confidence interval or CI = 1.01-2.24), having unmet functional need (OR = 1.48, 95% CI = 1.04-2.10), lacking self-management skills (OR = 1.44, 95% CI = 1.03-2.02), and having limited education (OR = 1.42, 95% CI = 1.01-2.02). IMPLICATIONS: These findings suggest that PDE and SES factors are associated with early readmission. Considering these findings may enhance the targeting of pre-discharge and postdischarge interventions to avert early readmission. Such interventions may include home health services, patient activation, and comprehensive discharge planning.

Effects of quality on outcomes in primary care: a review of the literature.

It is widely believed that health care quality affects primary care outcomes, but the evidence is fragmented and incomplete. The authors searched MEDLINE for relevant articles published between 1950 and 2006 and reviewed the evidence to assess the relationship between the personal aspects of primary care quality and patients' health status and health services utilization. These personal aspects, which include patient-physician continuity and communication, are distinct from the technical aspects of primary care, which include ordering tests, treatments, and referrals. Fourteen articles met the inclusion criteria. Results showed that greater continuity of care is associated with less use of hospitals and emergency departments and lower health care costs; effective communication may be associated with better health status. The limited available evidence suggests that higher quality in the personal aspects of primary care is associated with some but not all outcomes of care. Additional research is needed to define these relationships more clearly.

Guided care: cost and utilization outcomes in a pilot study.

Guided Care (GC) is an enhancement to primary care that incorporates the operative principles of disease management and chronic care innovations. In a 6-month quasi-experimental study, we compared the cost and utilization patterns of patients assigned to GC and Usual Care (UC). The setting was a community-based general internal medicine practice. The participants were patients of 4 general internists. They were older, chronically ill, community-dwelling patients, members of a capitated health plan, and identified as high risk. Using the Adjusted Clinical Groups Predictive Model (ACG-PM), we identified those at highest risk of future health care utilization. We selected the 75 highest-risk older patients of 2 internists at a primary care practice to receive GC and the 75 highest-risk older patients of 2 other internists in the same practice to receive UC. Insurance data were used to describe the groups' demographics, chronic conditions, insurance expenditures, and utilization. Among our results, at baseline, the GC (all targeted patients) and UC groups were similar in demographics and prevalence of chronic conditions, but the GC group had a higher mean ACG-PM risk score (0.34 vs. 0.20, p < 0.0001). During the following 6 months, the GC group had lower unadjusted mean insurance expenditures, hospital admissions, hospital days, and emergency department visits (p > 0.05). There were larger differences in insurance expenditures between the GC and UC groups at lower risk levels (at ACG-PM = 0.10, mean difference = $4340; at ACG-PM = 0.6, mean difference = $1304). Thirty-one of the 75 patients assigned to receive GC actually enrolled in the intervention. These results suggest that GC may reduce insurance expenditures for high-risk older adults. If these results are confirmed in larger, randomized studies, GC may help to increase the efficiency of health care for the aging American population.

Guided care for multimorbid older adults.

PURPOSE: The purpose of this study was to test the feasibility of a new model of health care designed to improve the quality of life and the efficiency of resource use for older adults with multimorbidity. DESIGN AND METHODS: Guided Care enhances primary care by infusing the operative principles of seven chronic care innovations: disease management, self-management, case management, lifestyle modification, transitional care, caregiver education and support, and geriatric evaluation and management. To practice Guided Care, a registered nurse completes an educational program and uses a customized electronic health record in working with two to five primary care physicians to meet the health care needs of 50 to 60 older patients with multimorbidity. For each patient, the nurse performs a standardized comprehensive home assessment and then collaborates with the physician, the patient, and the caregiver to create two comprehensive, evidence-based management plans: a Care Guide for health care professionals, and an Action Plan for the patient and caregiver. Based in the primary care office, the nurse then regularly monitors the patient's chronic conditions, coaches the patient in self-management, coordinates the efforts of all involved health care professionals, smoothes the patient's transitions between sites of care, provides education and support for family caregivers, and facilitates access to community resources. RESULTS: A 1-year pilot test in a community-based primary care practice suggested that Guided Care is feasible and acceptable to physicians, patients, and caregivers. IMPLICATIONS: If successful in a controlled trial, Guided Care could improve the quality of life and efficiency of health care for older adults with multimorbidity.

The Strategies to Reduce Injuries and Develop Confidence in Elders Intervention: Falls Risk Factor Assessment and Management, Patient Engagement, and Nurse Co-management.

In response to the epidemic of falls and serious falls-related injuries in older persons, in 2014, the Patient Centered Outcomes Research Institute (PCORI) and the National Institute on Aging funded a pragmatic trial, Strategies to Reduce Injuries and Develop confidence in Elders (STRIDE) to compare the effects of a multifactorial intervention with those of an enhanced usual care intervention. The STRIDE multifactorial intervention consists of five major components that registered nurses deliver in the role of falls care managers, co-managing fall risk in partnership with patients and their primary care providers (PCPs). The components include a standardized assessment of eight modifiable risk factors (medications; postural hypotension; feet and footwear; vision; vitamin D; osteoporosis; home safety; strength, gait, and balance impairment) and the use of protocols and algorithms to generate recommended management of risk factors; explanation of assessment results to the patient (and caregiver when appropriate) using basic motivational interviewing techniques to elicit patient priorities, preferences, and readiness to participate in treatments; co-creation of individualized falls care plans that patients' PCPs review, modify, and approve; implementation of the falls care plan; and ongoing monitoring of response, regularly scheduled re-assessments of fall risk, and revisions of the falls care plan. Custom-designed falls care management software facilitates risk factor assessment, the identification of recommended interventions, clinic note generation, and longitudinal care management. The trial testing the effectiveness of the STRIDE intervention is in progress, with results expected in late 2019.