Shared decision-making and disease management in advanced cancer and chronic kidney disease using patient-reported outcome dashboards.

OBJECTIVES: To assess the use of a co-designed patient-reported outcome (PRO) clinical dashboard and estimate its impact on shared decision-making (SDM) and symptomatology in adults with advanced cancer or chronic kidney disease (CKD). MATERIALS AND METHODS: We developed a clinical PRO dashboard within the Northwestern Medicine Patient-Reported Outcomes system, enhanced through co-design involving 20 diverse constituents. Using a single-group, pretest-posttest design, we evaluated the dashboard's use among patients with advanced cancer or CKD between June 2020 and January 2022. Eligible patients had a visit with a participating clinician, completed at least two dashboard-eligible visits, and consented to follow-up surveys. PROs were collected 72 h prior to visits, including measures for chronic condition management self-efficacy, health-related quality of life (PROMIS measures), and SDM (collaboRATE). Responses were integrated into the EHR dashboard and accessible to clinicians and patients. RESULTS: We recruited 157 participants: 66 with advanced cancer and 91 with CKD. There were significant improvements in SDM from baseline, as assessed by collaboRATE scores. The proportion of participants reporting the highest level of SDM on every collaboRATE item increased by 15 percentage points from baseline to 3 months, and 17 points between baseline and 6-month follow-up. Additionally, there was a clinically meaningful decrease in anxiety levels over study period (T-score baseline: 53; 3-month: 52; 6-month: 50; P < .001), with a standardized response mean (SRM) of -0.38 at 6 months. DISCUSSION: PRO clinical dashboards, developed and shared with patients, may enhance SDM and reduce anxiety among patients with advanced cancer and CKD.

Wellness in the modulator era: An observational study of the impact of CFTR modulator therapy on the well-being of people with cystic fibrosis.

BACKGROUND: People with cystic fibrosis (PwCF) have experienced substantial improvements in health following use of cystic fibrosis transmembrane conductance regulator (CFTR) modulator therapies. However, less is known about how modulator therapies impact well-being. METHODS: We used a cross-sectional observational study to identify relationships between CFTR modulator therapies, health-related quality of life (HRQoL), and well-being. Adult PwCF and caregivers of children with CF completed the Wellness in the Modulator Era (Well-ME) survey between June 22 and July 31, 2022. HRQoL was measured with PROMIS Global 10/Global 7 + 2 Parent Proxy. We used a mixed methods analysis to compare experiences and concerns of PwCF who currently (n = 665), no longer (n = 51), or never (n = 184) took modulator therapy. RESULTS: Adult PwCF taking a modulator (n = 416) reported better PROMIS global physical health than those who no longer (n = 37) or never took a modulator (n = 94) and better PROMIS global mental health than those who never took a modulator. Caregiver-reported HRQoL was similar across children with CF who currently, no longer, or never took a modulator. PwCF taking a modulator reported larger improvements in physical health, quality of life, social well-being, and treatment burden than those who no longer or never took a modulator. Nearly one-quarter (23 %) of PwCF taking modulator therapy reported worsening of mental well-being. CONCLUSIONS: This study expands our knowledge of well-being among PwCF in the CFTR modulator era as reported by patients and parents. Findings lay the groundwork for establishing future research priorities, policy efforts, and communications in areas that improve well-being for PwCF.

Implementation of a Co-Design Strategy to Develop a Dashboard to Support Shared Decision Making in Advanced Cancer and Chronic Kidney Disease.

Background: Shared decision making (SDM) is the process by which patients and clinicians exchange information and preferences to come to joint healthcare decisions. Clinical dashboards can support SDM by collecting, distilling, and presenting critical information, such as patient-reported outcomes (PROs), to be shared at points of care and in between appointments. We describe the implementation strategies and outcomes of a multistakeholder collaborative process known as "co-design" to develop a PRO-informed clinical dashboard to support SDM for patients with advanced cancer or chronic kidney disease (CKD). Methods: Across 14 sessions, two multidisciplinary teams comprising patients, care partners, clinicians, and other stakeholders iteratively co-designed an SDM dashboard for either advanced cancer (N = 25) or CKD (N = 24). Eligible patients, care partners, and frontline clinicians were identified by six physician champions. The co-design process included four key steps: (1) define "the problem", (2) establish context of use, (3) build a consensus on design, and (4) define and test specifications. We also evaluated our success in implementing the co-design strategy using measures of fidelity, acceptability, adoption, feasibility, and effectiveness which were collected throughout the process. Results: Mean (M) scores across implementation measures of the co-design process were high, including observer-rated fidelity and adoption of co-design practices (M = 19.1 on a 7-21 scale, N = 36 ratings across 9 sessions), as well as acceptability based on the perceived degree of SDM that occurred during the co-design process (M = 10.4 on a 0 to 12 adapted collaboRATE scale). Capturing the feasibility and adoption of convening multistakeholder co-design teams, min-max normalized scores (ranging from 0 to 1) of stakeholder representation demonstrated that, on average, 95% of stakeholder types were represented for cancer sessions (M = 0.95) and 85% for CKD sessions (M = 0.85). The co-design process was rated as either "fully" or "partially" effective by 100% of respondents, in creating a dashboard that met its intended objective. Conclusions: A co-design process was successfully implemented to develop SDM clinical dashboards for advanced cancer and CKD care. We discuss key strategies and learnings from this process that may aid others in the development and uptake of patient-centered healthcare innovations.

The Cystic Fibrosis Learning Network: A mixed methods evaluation of program goals, attributes, and impact.

Introduction: The Cystic Fibrosis (CF) Foundation sponsored the design, pilot testing, and implementation of the CF Learning Network (CFLN) to explore how the Foundation's Care Center Network (CCN) could become a learning health system. Six years after the design, the Foundation commissioned a formative mixed methods evaluation of the CFLN to assess: CFLN participants' understanding of program goals, attributes, and perceptions of current and future impact. Methods: We performed semi-structured interviews with CFLN participants to identify perceived goals, attributes, and impact of the network. Following thematic analyses, we developed and distributed a survey to CFLN members and a matched sample of CCN programs to understand whether the themes were unique to the CFLN. Results: Interviews with 24 CFLN participants were conducted. Interviewees identified the primary CFLN goal as improving outcomes for people living with CF, with secondary goals of providing training in quality improvement (QI), creating a learning community, engaging all stakeholders in improvement, and spreading best practices to the CCN. Project management, use of data, common QI methods, and the learning community were seen as critical to success. Survey responses were collected from 103 CFLN members and 25 CCN members. The data revealed that CFLN respondents were more likely than CCN respondents to connect with other CF programs, routinely use data for QI, and engage patient and family partners in QI. Conclusions: Our study suggests that the CFLN provides value beyond that achieved by the CCN. Key questions remain about whether spread of the CFLN could improve outcomes for more people living with CF.

Harnessing the Collective Expertise of Patients, Care Partners, Clinical Teams, and Researchers Through a Coproduction Learning Health System: A Case Study of the Dartmouth Health Promise Partnership.

The coproduction learning health system (CLHS) model extends the definition of a learning health system to explicitly bring together patients and care partners, health care teams, administrators, and scientists to share the work of optimizing health outcomes, improving care value, and generating new knowledge. The CLHS model highlights a partnership for coproduction that is supported by data that can be used to support individual patient care, quality improvement, and research. We provide a case study that describes the application of this model to transform care within an oncology program at an academic medical center.

Patient-Reported Outcome Dashboards Within the Electronic Health Record to Support Shared Decision-making: Protocol for Co-design and Clinical Evaluation With Patients With Advanced Cancer and Chronic Kidney Disease.

BACKGROUND: Patient-reported outcomes-symptoms, treatment side effects, and health-related quality of life-are important to consider in chronic illness care. The increasing availability of health IT to collect patient-reported outcomes and integrate results within the electronic health record provides an unprecedented opportunity to support patients' symptom monitoring, shared decision-making, and effective use of the health care system. OBJECTIVE: The objectives of this study are to co-design a dashboard that displays patient-reported outcomes along with other clinical data (eg, laboratory tests, medications, and appointments) within an electronic health record and conduct a longitudinal demonstration trial to evaluate whether the dashboard is associated with improved shared decision-making and disease management outcomes. METHODS: Co-design teams comprising study investigators, patients with advanced cancer or chronic kidney disease, their care partners, and their clinicians will collaborate to develop the dashboard. Investigators will work with clinic staff to implement the co-designed dashboard for clinical testing during a demonstration trial. The primary outcome of the demonstration trial is whether the quality of shared decision-making increases from baseline to the 3-month follow-up. Secondary outcomes include longitudinal changes in satisfaction with care, self-efficacy in managing treatments and symptoms, health-related quality of life, and use of costly and potentially avoidable health care services. Implementation outcomes (ie, fidelity, appropriateness, acceptability, feasibility, reach, adoption, and sustainability) during the co-design process and demonstration trial will also be collected and summarized. RESULTS: The dashboard co-design process was completed in May 2020, and data collection for the demonstration trial is anticipated to be completed by the end of July 2022. The results will be disseminated in at least one manuscript per study objective. CONCLUSIONS: This protocol combines stakeholder engagement, health care coproduction frameworks, and health IT to develop a clinically feasible model of person-centered care delivery. The results will inform our current understanding of how best to integrate patient-reported outcome measures into clinical workflows to improve outcomes and reduce the burden of chronic disease on patients and health care systems. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38461.

Prioritizing Measures That Matter Within a Person-Centered Oncology Learning Health System.

BACKGROUND: Despite progress in developing learning health systems (LHS) and associated metrics of success, a gap remains in identifying measures to guide the implementation and assessment of the impact of an oncology LHS. Our aim was to identify a balanced set of measures to guide a person-centered oncology LHS. METHODS: A modified Delphi process and clinical value compass framework were used to prioritize measures for tracking LHS performance. A multidisciplinary group of 77 stakeholders, including people with cancer and family members, participated in 3 rounds of online voting followed by 50-minute discussions. Participants rated metrics on perceived importance to the LHS and discussed priorities. RESULTS: Voting was completed by 94% of participants and prioritized 22 measures within 8 domains. Patient and caregiver factors included clinical health (Eastern Cooperative Oncology Group Performance Status, survival by cancer type and stage), functional health and quality of life (Patient Reported Outcomes Measurement Information System [PROMIS] Global-10, Distress Thermometer, Modified Caregiver Strain Index), experience of care (advance care planning, collaboRATE, PROMIS Self-Efficacy Scale, access to care, experience of care, end-of-life quality measures), and cost and resource use (avoidance and delay in accessing care and medications, financial hardship, total cost of care). Contextual factors included team well-being (Well-being Index; voluntary staff turnover); learning culture (Improvement Readiness, compliance with Commission on Cancer quality of care measures); scholarly engagement and productivity (institutional commitment and support for research, academic productivity index); and diversity, equity, inclusion, and belonging (screening and follow-up for social determinants of health, inclusivity of staff and patients). CONCLUSIONS: The person-centered LHS value compass provides a balanced set of measures that oncology practices can use to monitor and evaluate improvement across multiple domains.

Identifying and Predicting the Goals and Concerns Prioritised by Individuals with Inflammatory Bowel Disease.

BACKGROUND AND AIMS: In order to provide high-quality care, providers need to understand their patients' goals and concerns. This study aims to identify and predict the goals and concerns prioritised by patients with inflammatory bowel disease [IBD] in the outpatient setting. METHODS: Mixed-methods analysis was performed to identify the types, frequencies, and predictors of IBD patients' goals and concerns using 4873 surveys collected over 2016-2019 at 25 gastroenterology clinics across the USA participating in the Crohn's & Colitis Foundation's IBD Qorus Learning Health System. RESULTS: Patients with IBD most often prioritised goals and concerns related to symptoms/disease activity [50%] and clinical course/management [20%], whereas psychosocial/quality of life [12%] and medication [6%] concerns were less frequent. Females (odds ratio [OR] 22.1, 95% confidence interval [CI] 5.3-91.5) and patients in clinical remission [OR 2.2, 95% CI 1.2-4.1] were more likely to prioritise family planning. Patients >60 years old [OR 3.1, 95% CI 1.5-6.5] and patients with active disease [OR 3.2, 95% CI 1.4-7.6] were more often concerned about travelling. Smokers were more often concerned about nutrition [OR 4.2, 95% CI 1.9-9.2]. Surgery was more often a concern of patients with perianal Crohn's disease [OR 2.1, 95% CI 1.2-3.5], active disease [OR 1.9, 95% CI 1.1-3.4], and those with recent hospitalisations [OR 2.5, 95% CI 1.2-5.4]. CONCLUSIONS: IBD patients prioritised the remission of physical symptoms as treatment goals and they were less frequently concerned about medications and their side effects. Patients' demographics, IBD characteristics, and health care utilisation patterns can predict specific types of concerns/goals.

Financial impacts of the COVID-19 pandemic on cystic fibrosis care: lessons for the future.

BACKGROUND: Chronic care delivery models faced unprecedented financial pressures, with a reduction of in-person visits and adoption of telehealth during the COVID-19 pandemic. We sought to understand the reported financial impact of pandemic-related changes to the cystic fibrosis (CF) care model. METHODS: The U.S. CF Foundation State of Care surveys fielded in Summer 2020 (SoC1) and Spring 2021 (SoC2) included questions for CF programs on the impact of pandemic-related restrictions on overall finances, staffing, licensure, and reimbursement of telehealth services. Descriptive analyses were conducted based on program type. RESULTS: Among the 286 respondents (128 pediatric, 118 adult, 40 affiliate), the majority (62%) reported a detrimental financial impact to their CF care program in SoC1, though fewer (42%) reported detrimental impacts in SoC2. The most common reported impacts in SoC1 were redeployment of clinical staff (68%), furloughs (52%), hiring freezes (51%), decreases in salaries (34%), or layoffs (10%). Reports of lower reimbursement for telehealth increased from 30% to 40% from SoC1 to SoC2. Projecting towards the future, only a minority (17%) of program directors in SoC2 felt that financial support would remain below pre-pandemic levels. CONCLUSIONS: The COVID-19 pandemic resulted in financial strain on the CF care model, including challenges with reimbursement for telehealth services and reductions in staffing due to institutional changes. Planning for the future of CF care model needs to address these short-term impacts, particularly to ensure a lack of interruption in high-quality multi-disciplinary care.

Barriers and facilitators to implementing telehealth services during the COVID-19 pandemic: A qualitative analysis of interviews with cystic fibrosis care team members.

BACKGROUND: The COVID-19 pandemic forced cystic fibrosis (CF) care programs to rapidly shift from in-person care delivery to telehealth. Our objective was to provide a qualitative exploration of facilitators and barriers to: 1) implementing high-quality telehealth and 2) navigating reimbursement for telehealth services. METHODS: We used data from the 2020 State of Care CF Program Survey (n=286 U.S. care programs) administered in August-September to identify two cohorts of programs, with variation in telehealth quality (n=12 programs) and reimbursement (n=8 programs). We conducted focus groups and semi-structured interviews with CF program directors and coordinators in December 2020, approximately 9 months from onset of the pandemic. We used the Consolidated Framework for Implementation Research to identify facilitators and barriers of implementation, and inductive thematic analysis to identify facilitators and barriers of reimbursement. RESULTS: Factors differentiating programs with greater and lower perceived telehealth quality included telehealth characteristics (perceived advantage over in-person care, cost, platform quality); external influences (needs and resources of those served by the CF program), characteristics of the CF program (compatibility with workflows, relative priority, available resources); characteristics of team members (individual stage of change), and processes for implementation (engaging patients and teams). Reimbursement barriers included documentation to optimize billing; reimbursement of multi-disciplinary team members, remote monitoring, and telephone-only telehealth; and lower volume of patients. CONCLUSIONS: A number of factors are associated with successful implementation and reimbursement of telehealth. Future efforts should provide guidance and incentives that support telehealth delivery and infrastructure, share best practices across CF programs, and remove barriers.

Design and methods for understanding the state of cystic fibrosis care amid the COVID-19 pandemic.

BACKGROUND: Novel therapies have dramatically changed cystic fibrosis (CF) and innovative care delivery systems are needed to meet future patient needs. Telehealth has been shown to be an efficient and desirable form of care delivery. The COVID-19 pandemic caused a rapid shift to telehealth, and this presented a unique opportunity to study facilitators, barriers, and satisfaction with this mode of care delivery. We aim to report survey methods, demographics and telehealth use among CF care programs, patients, and families during the pandemic. METHODS: CF programs completed two surveys between July 29 and September 18, 2020, and between April 19 and May 19, 2021. Patients and families completed a similar survey between August 31 and October 30, 2020. The surveys addressed topics assessing the pandemic's financial impact, telehealth modes and experiences, licensure and reimbursement issues, health screening, and remote monitoring. Quantitative data were analyzed with descriptive statistics and were compared to the CF Foundation Patient Registry. RESULTS: Most programs (278 at timepoint one and 274 at timepoint two) provided telehealth during the pandemic. The percent of visits containing either telephone or video components changed from 45% to 25% over the time periods. Additionally, 424 patients and families from various ages and backgrounds responded to the survey and 81% reported having a telehealth visit. CONCLUSIONS: The pandemic accelerated telehealth adoption and these datasets are a valuable source for exploring telehealth barriers and facilitators, the quality-of-care experience, financial and workforce implications, the impact on underrepresented populations, and implications for coverage and reimbursement.

Patient and family experience of telehealth care delivery as part of the CF chronic care model early in the COVID-19 pandemic.

BACKGROUND: During the COVID-19 pandemic, CF centers shifted to a telehealth delivery model. Our study aimed to determine how people with CF (PwCF) and their families experienced telehealth and assessed its quality and acceptability for future CF care. METHODS: The CF Patient and Family State of Care Survey (PFSoC) was fielded from August 31-October 30, 2020. The PFSoC explored themes of overall telehealth quality, ease of use, desirability, and preference for a future mix of in-person and telehealth care. Demographic covariates considered included: gender, age, CFTR modulator status, and region of residence. RESULTS: 424 PwCF and parents of PwCF responded (47% parents). Most (81%) reported a telehealth visit which included a MD/APP and nurse team members. 91% found telehealth easy to use, and 66% reported similar/higher quality than in-person care. One-third (34%) reported the highest desire for future telehealth care, with 45% (n =212) desiring 50% or more of visits conducted via telehealth. Adults were more likely than parents to report highest desire for future telehealth (64% vs. 36%). Respondents who perceived telehealth as similar/higher quality were more likely to desire future telehealth compared to those who perceived telehealth as lower quality (96% vs. 50%). Mixed methods analysis revealed themes affecting perceptions of telehealth. CONCLUSIONS: PwCF desire for future telehealth was influenced by perception of quality and age. Several themes emerged that need to be explored as telehealth is adapted into the CF chronic care model, especially when thinking about integration into pediatric care.

Evaluating barriers to and promoters of telehealth during the COVID-19 pandemic at U.S. cystic fibrosis programs.

BACKGROUND: Cystic fibrosis (CF) care programs in the United States rapidly adopted telehealth during the COVID-19 pandemic. Understanding factors that promote or impede telehealth will inform planning for future telehealth-enabled care models. METHODS: Adult, pediatric, and affiliate CF care programs in the United States (n = 287) were surveyed twice eight months apart in 2020-2021 about telehealth use. Programs were asked to describe barriers to and promoters of telehealth. RESULTS: Ninety-seven percent of programs provided telehealth services. In the first CF Care Program State of Care Survey (SoC1), programs estimated that 57% of patients exclusively received in-person care, 36% of patients received telehealth by phone/computer with video, and 8% of patients received telephone-only care. In the second CF Care Program State of Care Survey (SoC2), programs estimated that 80% of visits were in-person and 15% were via audio and video telehealth. Pediatric programs (21%) were less likely than adult (37%) or affiliate (41%) programs to recommend telehealth (p = 0.007). All programs ranked lack of internet access as the highest barrier to patient engagement with telehealth. Promoters of telehealth were increased accessibility and avoidance of infection transmission. Top ranked changes to improve telehealth were expanded provision of remote monitoring devices and technology access. Similar proportions of program types anticipated institutional telehealth expansion. CONCLUSION: During the COVID-19 pandemic, CF programs in the United States identified factors to improve future care delivery via telehealth. Targeting specific barriers and promoters will improve the use and quality of telehealth throughout the care center network.

Telehealth use in cystic fibrosis during COVID-19: Association with race, ethnicity, and socioeconomic factors.

BACKGROUND: Due to the COVID-19 pandemic, there was an uptake of telehealth in cystic fibrosis care. Previous studies show disparities in telehealth use based on socioeconomic status (SES). We aimed to: (1) understand telehealth use and perceptions and (2) identify the facilitators and barriers to telehealth use among people with CF and their families (PwCF) from diverse racial/ethnic and socioeconomic backgrounds. METHODS: We conducted an analysis of the 2020 Cystic Fibrosis State of Care surveys completed by PwCF (PFSoC), CF Care Programs (SoC1) and the CF Foundation Patient Registry (CFFPR). RESULTS: A total of 424 PwCF and 286 programs responded to the PFSoC and SoC1. Among PwCF, 90% self-identified as White, 6% as Hispanic/Latino, and 2% as Black. Racial/ethnic minorities were less likely to have had a telehealth visit (p=.015). This difference was pronounced among the Hispanic/Latino population (p<.01). Telehealth use did not differ by health insurance and was similarly offered independent of financial status. Compared to PwCF who denied financial constraints, those who reported financial difficulties found telehealth more difficult to use (p=.018) and were less likely to think that their concerns (p=.010) or issues that mattered most to them (p=.020) were addressed during telehealth. Programs perceived lack of technology, language barriers, and home conditions as barriers to telehealth in vulnerable populations. CONCLUSION: PFSoC and SoC1 identified differences in telehealth use and care perceptions by ethnicity, race, and socioeconomic characteristics. Further studies are needed to understand how telehealth can change access to CF care in diverse subpopulations.

Remote monitoring in telehealth care delivery across the U.S. cystic fibrosis care network.

BACKGROUND: Cystic fibrosis (CF) programs and people with CF (PwCF) employed various monitoring methods for virtual care during the COVID-19 pandemic. This paper characterizes experiences with remote monitoring across the U.S. CF community. METHODS: The CF Foundation (CFF) sponsored distribution of home spirometers (April 2020 to May 2021), surveys to PwCF and CF programs (July to September 2020), and a second program survey (April to May 2021). We used mixed methods to explore access, use, and perspectives regarding the use of remote monitoring in future care. RESULTS: By October 2020, 13,345 spirometers had been distributed, and 19,271 spirometers by May 2021. Programs (n=286) estimated proportions of PwCF with home devices increased over seven months: spirometers (30% to 70%), scales (50% to 70%), oximeters (5% to 10%) with higher estimates in adult programs for spirometers and oximeters. PwCF (n=378) had access to scales (89%), followed by oximeters (48%) and spirometers (47%), often using scales and oximeters weekly, and spirometers monthly. Over both surveys, some programs had no method to collect respiratory specimens for cultures associated with telehealth visits (47%, n=132; 41%, n=118). Most programs (81%) had a process for phlebotomy associated with a telehealth visit, primarily through off-site labs. Both PwCF and programs felt future care should advance remote monitoring and recommended improvements for access, training, and data collection systems. CONCLUSIONS: PwCF and programs experienced unprecedented access to remote monitoring and raised its importance for future care. Improvements to current systems may leverage these shared experiences to augment future care models.

Formative evaluation of a dashboard to support coproduction of healthcare services in cystic fibrosis.

BACKGROUND: Healthcare coproduction engages patients and clinicians to design and execute services, yet little is known about tools that facilitate coproduction. Our objective was to understand uptake, experiences, benefits, and limitations of a dashboard to support patient-clinician partnerships within the cystic fibrosis (CF) community. METHODS: People living with CF (PwCF) and clinicians co-designed a dashboard that displayed patient-reported and clinical data. Eight CF programmes, including 21 clinicians, and 131 PwCF participated in a pilot study of the dashboard. We conducted descriptive statistics and thematic analyses of surveys (82 PwCF; 21 clinicians); semi-structured interviews (13 PwCF; 8 care teams); and passively-collected usage data. RESULTS: Two-thirds of the 82 PwCF used the dashboard during a visit, and 59% used it outside a visit. Among 48 PwCF using the dashboard outside the clinic, 92% viewed their health information and 46% documented concerns or requests. Most of the 21 clinicians used the dashboard to support visit planning (76%); fewer used it during a visit (48%). The dashboard supported discussions of what matters most (69% PwCF; 68% clinicians). Several themes emerged: access to patient outcomes data allows users to learn more deeply; participation in pre-visit planning matters; coproduction is made possible by inviting new ways to partner; and lack of integration with existing information technology (IT) systems is limiting. CONCLUSIONS: A dashboard was feasible to implement and use. Future iterations should provide patients access to their data, be simple to use, and integrate with IT systems in use by clinicians and PwCF.

A qualitative study of design stakeholders' views of developing and implementing a registry-based learning health system.

BACKGROUND: New opportunities to record, collate, and analyze routine patient data have prompted optimism about the potential of learning health systems. However, real-life examples of such systems remain rare and few have been exposed to study. We aimed to examine the views of design stakeholders on designing and implementing a US-based registry-enabled care and learning system for cystic fibrosis (RCLS-CF). METHODS: We conducted a two-phase qualitative study with stakeholders involved in designing, implementing, and using the RCLS-CF. First, we conducted semi-structured interviews with 19 program personnels involved in design and delivery of the program. We then undertook 11 follow-up interviews. Analysis of interviews was based on the constant comparative method, supported by NVivo software. RESULTS: The organizing principle for the RCLS-CF was a shift to more partnership-based relationships between patients and clinicians, founded in values of co-production, and facilitated by technology-enabled data sharing. Participants proposed that, for the system to be successful, the data it collects must be both clinically useful and meaningful to patients and clinicians. They suggested that the prerequisites included a technological infrastructure capable of supporting data entry and joint decision-making in an accessible way, and a set of social conditions, including willingness from patients and clinicians alike to work together in new ways that build on the expertise of both parties. Follow-up interviews highlighted some of the obstacles, including technical challenges and practical constraints on refiguring relationships between clinicians and patients. CONCLUSIONS: The values and vision underlying the RCLS-CF were shared and clearly and consistently articulated by design stakeholders. The challenges to realization were often not at the level of principle, but were both practical and social in character. Lessons from this study may be useful to other systems looking to harness the power of "big data" registries, including patient-reported data, for care, research, and quality improvement.

Automated detection of harm in healthcare with information technology: a systematic review.

CONTEXT: To improve patient safety, healthcare facilities are focussing on reducing patient harm. Automated harm-detection methods using information technology show promise for efficiently measuring harm. However, there have been few systematic reviews of their effectiveness. OBJECTIVE: To perform a systematic literature review to identify, describe and evaluate effectiveness of automated inpatient harm-detection methods. METHODS: Data sources included MEDLINE and CINAHL databases indexed through August 2008, extended by bibliographic review and search of citing articles. The authors included articles reporting effectiveness of automated inpatient harm-detection methods, as compared with other detection methods. Two independent reviewers used a standardised abstraction sheet to extract data about automated and comparison harm-detection methods, patient samples and events identified. Differences were resolved by discussion. RESULTS: From 176 articles, 43 articles met inclusion criteria: 39 describing field-defined methods, two using natural language processing and two using both methods. Twenty-one studies used automated methods to detect adverse drug events, 10 detected general adverse events, eight detected nosocomial infections, and four detected other specific adverse events. Compared with gold standard chart review, sensitivity and specificity of automated harm-detection methods ranged from 0.10 to 0.94 and 0.23 to 0.98, respectively. Studies used heterogeneous methods that often were flawed. CONCLUSION: Automated methods of harm detection are feasible and some can potentially detect patient harm efficiently. However, effectiveness varied widely, and most studies had methodological weaknesses. More work is needed to develop and assess these tools before they can yield accurate estimates of harm that can be reliably interpreted and compared.

End-of-life treatment preferences of persons with serious mental illness.

OBJECTIVE: The goal of this study was to ascertain preferences for end-of-life care among persons with serious mental illness. METHODS: The participants were 150 community-residing adults with serious mental illness. The Health Care Preferences Questionnaire was administered to obtain information about treatment preferences in response to hypothetical medical illness scenarios: use of pain medication in the case of incurable cancer and use of artificial life support in the case of irreversible coma. Participants were asked what their treatment preferences would be for an imaginary person in each scenario ("other") as well as their preferences for themselves ("self"). RESULTS: For the scenario involving pain medication for incurable cancer, most participants chose aggressive pain management even if cognition might be affected (64 percent of respondents under the "other" scenario and 66 percent under the "self" scenario). Few participants thought a doctor should provide patients with enough medication to end their life (34 percent for self and 24 percent for other). For the scenario involving irreversible coma, respondents were divided in their choice regarding life support. Approximately one-quarter said that they would prefer to immediately terminate life support (28 percent of respondents for other and 29 percent for self), and half said they would choose to turn it off after a defined period (48 percent for other and 45 percent for self). CONCLUSIONS: Persons with serious mental illness were able to designate treatment preferences in response to end-of-life health state scenarios. Future research is needed to test advance care planning methods, assess stability of choices over time, and ascertain the utility of scenario-based preferences to guide end-of-life care decisions in this population.