A randomized prospective trial of an ostomy telehealth intervention for cancer survivors.

BACKGROUND: Cancer survivors with ostomies face complex challenges. This study compared the Ostomy Self-Management Telehealth program (OSMT) versus attention control usual care (UC). METHODS: Three academic centers randomized participants. OSMT group sessions were led by ostomy nurses and peer ostomates (three for ostomates-only, one for support persons, and one review session for both). Surveys at baseline, OSMT completion, and 6 months were primary outcome patient activation (PAM), self-efficacy (SE), City of Hope quality of life-Ostomy (COH-O), and Hospital Anxiety and Depression Scale (HADS). Surveys were scored per guidelines for those completing at least two surveys. Linear mixed effects models were used to select potential covariates for the final model and to test the impact of OSMT within each timeframe. RESULTS: A total of 90 OSMT and 101 UC fulfilled analysis criteria. Arms were well-matched but types of tumors were unevenly distributed (p = .023). The OSMT arm had a nonsignificant improvement in PAM (confidence interval [CI], -3.65 to 5.3]; 4.0 vs. 2.9) at 6 months. There were no significant differences in other surveys. There was a significant OSMT benefit for urinary tumors (four SE domains). Higher OSMT session attendance was associated with post-session improvements in five SE domains (p < .05), two COH-O domains (p < .05), and HADS anxiety (p = .01). At 6 months, there remained improvements in one SE domain (p < .05), one COH-O domain (p < .05), and HADS anxiety (p < .01). CONCLUSIONS: No clear benefit was seen for the OSMT intervention, although there may be an advantage based on type of tumor. Benefit with greater session attendance was also encouraging. PLAIN LANGUAGE SUMMARY: Cancer patients with ostomies have many challenges. We tested a telehealth curriculum compared to usual care. There are indications of benefit for the program for those that attend more sessions and those with urostomies.

Patient activation and treatment decision-making in the context of cancer: examining the contribution of informal caregivers' involvement.

PURPOSE: The present work investigated the relationship between patient activation, treatment decision-making, and adherence to the prescribed treatment regimen. Given the role of informal caregivers in patient-reported outcomes, it was additionally assessed whether caregiver involvement acted as a moderator of this relationship. METHODS: Survey data collected from 504 cancer survivors were utilized. Structural equation modeling (SEM) controlling for covariates was used to examine the relationship between patient activation measure (PAM), caregiver involvement, and the identified outcomes. Moderator analysis was conducted using multiple group SEM. RESULTS: Patient activation was significantly associated with treatment planning being reflective of survivors' goals and values (p < 0.001); adherence to treatment (p = 0.011); and satisfaction (p < 0.001). Caregiver's involvement significantly moderated the association between activation and adherence to treatment. CONCLUSIONS: Patient activation was positively associated with all three selected outcomes. However, for cancer survivors reporting low rates of caregiver's involvement, patient activation was not associated with treatment adherence. Research is needed to test and deliver self-management interventions inclusive of informal caregivers. IMPLICATIONS FOR CANCER SURVIVORS: Findings supported the need not only to monitor and sustain patient activation across the cancer continuum, but also to assume a dyadic perspective when designing self-management interventions in cancer survivorship.

Testing a Personal Narrative for Persuading People to Value and Use Comparative Physician Quality of Care Information: An Experimental Study.

Objective: This study tests whether a personal narrative can persuade people to value comparative data on physician quality. Method: We conducted an online experiment with 850 adults. One group viewed a cartoon narrative on physician quality variation, another saw text on physician quality variation, and there was a control group. Study participants hypothetically selected a physician from a display of four physicians. The top-quality physician was furthest away and most expensive. We conducted multivariate models examining the relationship between experimental group and choice of the top-quality physician. Results: There was no overall relationship between narrative or text information and choice of the highest quality physician. Among higher numerate participants, however, those who viewed the narrative had odds 2.7 times higher of selecting the top-quality physician compared with the control group. Discussion: Personal narratives can persuade higher numerate people to consider quality when selecting physicians.

Patient Activation Changes as a Potential Signal for Changes in Health Care Costs: Cohort Study of US High-Cost Patients.

BACKGROUND: Programs to improve quality of care and lower costs for the highest utilizers of health services are proliferating, yet such programs have difficulty demonstrating cost savings. OBJECTIVE: In this study, we explore the degree to which changes in Patient Activation Measure (PAM) levels predict health care costs among high-risk patients. PARTICIPANTS: De-identified claims, demographic data, and serial PAM scores were analyzed on 2155 patients from multiple medical groups engaged in an existing Center for Medicare and Medicaid Innovation-funded intervention over 3 years designed to activate and improve care coordination for high-risk patients. DESIGN: In this prospective cohort study, four levels of PAM (from low to high) were used as the main predictor variable. We fit mixed linear models for log10 of allowed charges in follow-up periods in relation to change in PAM, controlling for baseline PAM, baseline costs, age, sex, income, and baseline risk score. MAIN MEASURES: Total allowed charges were derived from claims data for the cohort. PAM scores were from a separate database managed by the local practices. KEY RESULTS: A single PAM level increase was associated with 8.3% lower follow-up costs (95% confidence interval 2.5-13.2%). CONCLUSIONS: These findings contribute to a growing evidence base that the change in PAM score could serve as an early signal indicating the impact of interventions designed for high-cost, high-needs patients.

Does the Race/Ethnicity or Gender of a Physician's Name Impact Patient Selection of the Physician?

This study's objective was to examine the extent to which individuals exhibit a preference for physicians based upon the race/ethnicity and gender of a physician's name. We conducted an online survey of 915 adults, who viewed a comparative display of four physicians' quality performance. We randomized the name of one physician, whose quality performance was equal to that of one physician and better than two other physicians, to be either typically African American male, African American female, white male, white female, or Middle Eastern (gender ambiguous). In regression models, participants more frequently selected the physician with the randomized name when displayed with a white male name, compared to when presented with an African American male, African American female, or Middle Eastern name (ORs ranging from .59 to .64). White and male study participants exhibited this pattern, while racial/ethnic minority participants did not. If the hypothetical choice bias observed here translates to people's actual selection of physicians, it could be a contributing factor for why women and racial/ethnic minority physicians have lower incomes than white male physicians.

Costs of an ostomy self-management training program for cancer survivors.

OBJECTIVE: To measure incremental expenses to an oncologic surgical practice for delivering a community-based, ostomy nurse-led, small-group, behavior skills-training intervention to help bladder and colorectal cancer survivors understand and adjust to their ostomies and improve their health-related quality of life, as well as assist family caregivers to understand survivors' needs and provide appropriate supportive care. METHODS: The intervention was a 5-session group behavior skills training in ostomy self-management following the principles of the Chronic Care Model. Faculty included Wound, Ostomy, and Continence Nurses (WOCNs) using an ostomy care curriculum. A gender-matched peer-in-time buddy was assigned to each ostomy survivor. The 4-session survivor curriculum included the following: self-management practice and solving immediate ostomy concerns; social well-being; healthy lifestyle; and a booster session. The single family caregiver session was coled by a WOCN and an ostomy peer staff member and covered relevant caregiver and ostomate support issues. Each cohort required 8 weeks to complete the intervention. Nonlabor inputs included ostomy supplies, teaching materials, automobile mileage for WOCNs, mailing, and meeting space rental. Intervention personnel were employed by the University of Arizona. Labor expenses included salaries and fringe benefits. RESULTS: The total incremental expense per intervention cohort of 4 survivors was $7246 or $1812 per patient. CONCLUSIONS: A WOCN-led group self-help ostomy survivorship intervention provided affordable, effective, care to cancer survivors with ostomies.

The Association of Patient Factors, Digital Access, and Online Behavior on Sustained Patient Portal Use: A Prospective Cohort of Enrolled Users.

BACKGROUND: As electronic health records and computerized workflows expand, there are unprecedented opportunities to digitally connect with patients using secure portals. To realize the value of patient portals, initial reach across populations will need to be demonstrated, as well as sustained usage over time. OBJECTIVE: The study aim was to identify patient factors associated with short-term and long-term portal usage after patients registered to access all portal functions. METHODS: We prospectively followed a cohort of patients at a large Department of Veterans Affairs (VA) health care facility who recently completed identity proofing to use the VA patient portal. Information collected at baseline encompassed patient factors potentially associated with portal usage, including: demographics, Internet access and use, health literacy, patient activation, and self-reported health conditions. The primary outcome was the frequency of portal log-ins during 6-month and 18-month time intervals after study enrollment. RESULTS: A total of 270 study participants were followed prospectively. Almost all participants (260/268, 97.0%) reported going online, typically at home (248/268, 92.5%). At 6 months, 84.1% (227/270) of participants had visited the portal, with some variation in usage across demographic and health-related subgroups. There were no significant differences in portal log-ins by age, gender, education, marital status, race/ethnicity, distance to a VA facility, or patient activation measure. Significantly higher portal usage was seen among participants using high-speed broadband at home, greater self-reported ability using the Internet, and routinely going online. By 18 months, 91% participants had logged in to the portal, and no significant associations were found between usage and demographics, health status, or patient activation. When examining portal activity between 6 and 18 months, patients who were infrequent or high portal users remained in those categories, respectively. CONCLUSIONS: Short-term and long-term portal usage was associated with having broadband at home, high self-rated ability when using the Internet, and overall online behavior. Digital inclusion, or ready access to the Internet and digital skills, appears to be a social determinant in patient exposure to portal services.

Does patient activation level affect the cancer patient journey?

OBJECTIVES: We assess how patient activation is associated with behaviors and experiences of people with cancer, including: understanding risks; making treatment decisions; communicating with providers; coping with symptoms; and adhering to regimens. METHODS: The study utilizes survey data from six surveys each including 500 cancer survivors. Multivariate analyses are presented. RESULTS: Higher activated patients are more than 9 times more likely to feel their treatment plans reflect their values, 4.5 times more likely to cope with side effects, and almost 3.3 times more likely to initiate a healthier diet after their diagnosis, than are less activated patients. Less activated patients are less likely understand their diagnosis, to follow treatment regimens, and to be satisfied with their care. CONCLUSIONS: The findings show that all along the care continuum, patient activation is associated with differences in experiences. PRACTICE IMPLICATIONS: The findings point to the value of assessing patients' activation levels at the beginning of their cancer experience.

Improving Population Health Management Strategies: Identifying Patients Who Are More Likely to Be Users of Avoidable Costly Care and Those More Likely to Develop a New Chronic Disease.

OBJECTIVE: To explore using the Patient Activation Measure (PAM) for identifying patients more likely to have ambulatory care-sensitive (ACS) utilization and future increases in chronic disease. DATA SOURCES: Secondary data are extracted from the electronic health record of a large accountable care organization. STUDY DESIGN: This is a retrospective cohort design. The key predictor variable, PAM score, is measured in 2011, and is used to predict outcomes in 2012-2014. Outcomes include ACS utilization and the likelihood of a new chronic disease. DATA: Our sample of 98,142 adult patients was drawn from primary care clinic users. To be included, patients had to have a PAM score in 2011 and at least one clinic visit in each of the three subsequent years. PRINCIPAL FINDINGS: PAM level is a significant predictor of ACS utilization. Less activated patients had significantly higher odds of ACS utilization compared to those with high PAM scores. Similarly, patients with low PAM scores were more likely to have a new chronic disease diagnosis over each of the years of observation. CONCLUSIONS: Assessing patient activation may help to identify patients who could benefit from greater support. Such an approach may help ACOs reach population health management goals.

How much do clinicians support patient self-management? The development of a measure to assess clinician self-management support.

BACKGROUND: Primary care provider (PCP) support of patient self-management may be important mechanism to improving patient health outcomes. In this paper we develop a PCP-reported measure of clinician strategies for supporting patient self-management, and we psychometrically test and validate the measure. METHODS: We developed survey items based upon effective self-management support strategies identified in a prior mixed methods study. We fielded a survey in the fall of 2014 with 139 Fairview Health Services PCPs, and conducted exploratory factor analysis and Cronbach's Alpha to test for scale reliability. To validate the measure, we examined the Self-Management Support (SMS) scale's relationship to survey items on self-management support, as well as clinicians' patient panel rates of smoking cessation and weight loss. RESULTS: Nine survey items clustered reliably to create a single factor (Cronbach's Alpha=0.73). SMS scores ranged from 2.1 to 4.9. The SMS was related to each of the validation variables. PCPs who reported spending 60% percent or more of their time counseling, educating, and coaching patients had a mean SMS score of 4.0, while those who reported spending less than 30% of their time doing so had mean SMS scores 15% lower. PCPs' SMS scores exhibited significant but modest associations with their patients' smoking cessation and weight loss (among obese patients) (r=0.21 and r=0.13 respectively). CONCLUSIONS: This study develops and tests a promising measure of PCPs' strategies to support patient self-management. It highlights variation across PCPs. Future work should examine whether increasing scores of PCPs low on the SMS improves chronic care quality outcomes.

Patient activation and the use of information to support informed health decisions.

OBJECTIVES: Patients and consumers make many choices that affect their health and their health care. Some of these decisions are informed by evidence, but many are not. A growing body of research indicates that those who are more activated or engaged in their health are more likely to seek out and use information to inform their health decisions. In this paper we review the evidence about patient activation and information seeking, health behaviors, and health outcomes. We also review what is known about how to increase patient activation, and how best to support patients who are at different levels of activation to use information to support their choices. DISCUSSION: Strategies can be tailored to support and information for patients at different levels of activation. These strategies might be implemented in different clinical settings and situations, tailored and targeted approaches for care transitions, health coaching, and in the use of shared-decision-making. CONCLUSIONS: Efforts to support informed consumer choices have largely been a 'one size fits all' approach. Understanding consumers, and trying to meet them where they are, is likely to be the focus of the 'next generation' of interventions to support informed consumer choices.

Summarized Costs, Placement Of Quality Stars, And Other Online Displays Can Help Consumers Select High-Value Health Plans.

Starting in 2017, all state and federal health insurance exchanges will present quality data on health plans in addition to cost information. We analyzed variations in the current design of information on state exchanges to identify presentation approaches that encourage consumers to take quality as well as cost into account when selecting a health plan. Using an online sample of 1,025 adults, we randomly assigned participants to view the same comparative information on health plans, displayed in different ways. We found that consumers were much more likely to select a high-value plan when cost information was summarized instead of detailed, when quality stars were displayed adjacent to cost information, when consumers understood that quality stars signified the quality of medical care, and when high-value plans were highlighted with a check mark or blue ribbon. These approaches, which were equally effective for participants with higher and lower numeracy, can inform the development of future displays of plan information in the exchanges.

Adding A Measure Of Patient Self-Management Capability To Risk Assessment Can Improve Prediction Of High Costs.

We explored whether supplementing a clinical risk score with a behavioral measure could improve targeting of the patients most in need of supports that reduce their risk of costly service utilization. Using data from a large health system that determines patient self-management capability using the Patient Activation Measure, we examined utilization of hospital and emergency department care by the 15 percent of patients with the highest clinical risk scores. After controlling for risk scores and placing patients within segments based on their level of activation in 2011, we found that the lower the activation level, the higher the utilization and cost of hospital services in each of the following three years. These findings demonstrate that adding a measure of patient self-management capability to a risk assessment can improve prediction of high care costs and inform actions to better meet patient needs.

Supporting Patient Behavior Change: Approaches Used by Primary Care Clinicians Whose Patients Have an Increase in Activation Levels.

PURPOSE: We aimed to identify the strategies used to support patient behavior change by clinicians whose patients had an increase in patient activation. METHODS: This mixed methods study was conducted in collaboration with Fairview Health Services, a Pioneer Accountable Care Organization. We aggregated data on the change in patient activation measure (PAM) score for 7,144 patients to the primary care clinician level. We conducted in-depth interviews with 10 clinicians whose patients' score increases were among the highest and 10 whose patients' score changes were among the lowest. Transcripts of the interviews were analyzed to identify key strategies that differentiated the clinicians whose patients had top PAM change scores. RESULTS: Clinicians whose patients had relatively large activation increases reported using 5 key strategies to support patient behavior change (mean = 3.9 strategies): emphasizing patient ownership; partnering with patients; identifying small steps; scheduling frequent follow-up visits to cheer successes, problem solve, or both; and showing caring and concern for patients. Clinicians whose patients had lesser change in activation were far less likely to describe using these approaches (mean = 1.3 strategies). Most clinicians, regardless of group, reported developing their own approach to support patient behavior change. Those whose patients showed high activation change reported spending more time with patients on counseling and education than did those whose patients showed less improvement in activation. CONCLUSIONS: Clinicians vary in the strategies they use to promote behavior change and in the time spent with patients on such activities. The 5 key strategies used by clinicians with high patient activation change are promising approaches to supporting patient behavior change that should be tested in a larger sample of clinicians to validate their effectiveness.

A chronic care ostomy self-management program for cancer survivors.

BACKGROUND: Individuals with ostomies experience extensive changes in health-related quality of life (HRQOL) and daily routine. Patients and families are typically forced to use trial and error to improve self-management. METHODS: This is a longitudinal one-group design pilot study of a five-session ostomy self-care curriculum based on the Chronic Care Model to improve HRQOL and self-management for cancer survivors with ostomies. Participants were surveyed to evaluate each session. Multiple instruments were administered to examine outcomes at baseline, post-intervention, and at 6-month follow-up (Patient Activation Measure, self-efficacy, Hospital Anxiety and Depression Scale, Ways of Coping, Group Health Association of America Satisfaction with ostomy care survey, and the City of Hope Quality of Life Ostomy). Changes from pre-intervention to post-intervention and pre-intervention to follow-up were evaluated with paired t-tests. Text responses were coded and evaluated for important themes and recommendations. RESULTS: Thirty-eight subjects participated in the study. Most had a history of rectal cancer (60.5%) or bladder cancer (28.9%). Participants rated the overall program high (4.4-4.8 on 5-point scale). Text feedback indicated that participants enjoyed the group forums, wanted more participants, and more hands-on training. Scores on multiple surveys were shown to be improved and sustained, including patient activation (p = 0.0004), self-efficacy (p = 0.006), total HRQOL (p = 0.01), physical well-being (p = 0.005), and social well-being (p = 0.002). Survivor anxiety was significantly reduced by follow-up (p = 0.047). CONCLUSIONS: This self-management ostomy program can help cancer survivors with ostomies adapt to their stoma. Initiating this program in the community setting would be beneficial to many cancer survivors.

Making comparative performance information more comprehensible: an experimental evaluation of the impact of formats on consumer understanding.

STUDY OBJECTIVES: We aimed to investigate how different presentation formats influence comprehension and use of comparative performance information (CPI) among consumers. METHODS: An experimental between-subjects and within-subjects design with manipulations of CPI presentation formats. We enrolled both consumers with lower socioeconomic status (SES)/cognitive skills and consumers with higher SES/cognitive skills, recruited through an online access panel. Respondents received fictitious CPI and completed questions about interpretation and information use. Between subjects, we tested (1) displaying an overall performance score (yes/no); (2) displaying a small number of quality indicators (5 vs 9); and (3) displaying different types of evaluative symbols (star ratings, coloured dots and word icons vs numbers and bar graphs). Within subjects, we tested the effect of a reduced number of healthcare providers (5 vs 20). Data were analysed using descriptive analysis, analyses of variance and paired-sampled t tests. RESULTS: A total of 902 (43%) respondents participated. Displaying an overall performance score and the use of coloured dots and word icons particularly enhanced consumer understanding. Importantly, respondents provided with coloured dots most often correctly selected the top three healthcare providers (84.3%), compared with word icons (76.6% correct), star ratings (70.6% correct), numbers (62.0%) and bars (54.2%) when viewing performance scores of 20 providers. Furthermore, a reduced number of healthcare providers appeared to support consumers, for example, when provided with 20 providers, 69.5% correctly selected the top three, compared with 80.2% with five providers. DISCUSSION: Particular presentation formats enhanced consumer understanding of CPI, most importantly the use of overall performance scores, word icons and coloured dots, and a reduced number of providers displayed. Public report efforts should use these formats to maximise impact on consumers.

Working under a clinic-level quality incentive: primary care clinicians' perceptions.

BACKGROUND: A key consideration in designing pay-for-performance programs is determining what entity the incentive should be awarded to-individual clinicians or to groups of clinicians working in teams. Some argue that team-level incentives, in which clinicians who are part of a team receive the same incentive based on the team's performance, are most effective; others argue for the efficacy of clinician-level incentives. This study examines primary care clinicians' perceptions of a team-based quality incentive awarded at the clinic level. METHODS: This research was conducted with Fairview Health Services, where 40% of the primary care compensation model was based on clinic-level quality performance. We conducted 48 in-depth interviews to explore clinicians' perceptions of the clinic-level incentive, as well as an online survey of 150 clinicians (response rate 56%) to investigate which entity the clinicians would consider optimal to target for quality incentives. RESULTS: Clinicians reported the strengths of the clinic-based quality incentive were quality improvement for the team and less patient "dumping," or shifting patients with poor outcomes to other clinicians. The weaknesses were clinicians' lack of control and colleagues riding the coattails of higher performers. There were mixed reports on the model's impact on team dynamics. Although clinicians reported greater interaction with colleagues, some described an increase in tension. Most clinicians surveyed (73%) believed that there should be a mix of clinic and individual-level incentives to maintain collaboration and recognize individual performance. CONCLUSION: The study highlights the important advantages and disadvantages of using incentives based upon clinic-level performance. Future research should test whether hybrid incentives that mix group and individual incentives can maintain some of the best elements of each design while mitigating the negative impacts.

Does Compensating Primary Care Providers to Produce Higher Quality Make Them More or Less Patient Centric?

Both payment reform and patient engagement are key elements of health care reform. Yet the question of how incentivizing primary care providers (PCPs) on quality outcomes affects the degree to which PCPs are supportive of patient activation and patient self-management has received little attention. In this mixed-methods study, we use in-depth interviews and survey data from PCPs working in a Pioneer Accountable Care Organization that implemented a compensation model in which a large percentage of PCP salary is based on quality performance. We assess how much PCPs report focusing their efforts on supporting patient activation and self-management, and whether or not they become frustrated with patients who do not change their behaviors. The findings suggest that most PCPs do not see the value in investing their own efforts in supporting patient self-management and activation. Most PCPs saw patient behavior as a major obstacle to improving quality and many were frustrated that patient behaviors affected their compensation.

Sources of traffic and visitors' preferences regarding online public reports of quality: web analytics and online survey results.

BACKGROUND: In the context of the Affordable Care Act, there is extensive emphasis on making provider quality transparent and publicly available. Online public reports of quality exist, but little is known about how visitors find reports or about their purpose in visiting. OBJECTIVE: To address this gap, we gathered website analytics data from a national group of online public reports of hospital or physician quality and surveyed real-time visitors to those websites. METHODS: Websites were recruited from a national group of online public reports of hospital or physician quality. Analytics data were gathered from each website: number of unique visitors, method of arrival for each unique visitor, and search terms resulting in visits. Depending on the website, a survey invitation was launched for unique visitors on landing pages or on pages with quality information. Survey topics included type of respondent (eg, consumer, health care professional), purpose of visit, areas of interest, website experience, and demographics. RESULTS: There were 116,657 unique visitors to the 18 participating websites (1440 unique visitors/month per website), with most unique visitors arriving through search (63.95%, 74,606/116,657). Websites with a higher percent of traffic from search engines garnered more unique visitors (P=.001). The most common search terms were for individual hospitals (23.25%, 27,122/74,606) and website names (19.43%, 22,672/74,606); medical condition terms were uncommon (0.81%, 605/74,606). Survey view rate was 42.48% (49,560/116,657 invited) resulting in 1755 respondents (participation rate=3.6%). There were substantial proportions of consumer (48.43%, 850/1755) and health care professional respondents (31.39%, 551/1755). Across websites, proportions of consumer (21%-71%) and health care professional respondents (16%-48%) varied. Consumers were frequently interested in using the information to choose providers or assess the quality of their provider (52.7%, 225/427); the majority of those choosing a provider reported that they had used the information to do so (78%, 40/51). Health care professional (26.6%, 115/443) and consumer (20.8%, 92/442) respondents wanted cost information and consumers wanted patient narrative comments (31.5%, 139/442) on the public reports. Health care professional respondents rated the experience on the reports higher than consumers did (mean 7.2, SD 2.2 vs mean 6.2, SD 2.7; scale 0-10; P<.001). CONCLUSIONS: Report sponsors interested in increasing the influence of their reports could consider using techniques to improve search engine traffic, providing cost information and patient comments, and improving the website experience for both consumers and health care professionals.