A Root Cause Analysis of Barriers to Timely Colonoscopy in California Safety-Net Health Systems.

OBJECTIVES: Safety-net health care systems, serving vulnerable populations, see longer delays to timely colonoscopy after a positive fecal occult blood test (FOBT), which may contribute to existing disparities. We sought to identify root causes of colonoscopy delay after positive FOBT result in the primary care safety net. METHODS: We conducted a multisite root cause analysis of cases of delayed colonoscopy, identifying cases where there was a delay of greater than 6 months in completing or scheduling a follow-up colonoscopy after a positive FOBT. We identified cases across 5 California health systems serving low-income, vulnerable populations. We developed a semistructured interview guide based on precedent work. We conducted telephone individual interviews with primary care providers (PCPs) and patients. We then performed qualitative content analysis of the interviews, using an integrated inductive-deductive analytic approach, to identify themes related to recurrent root causes of colonoscopy delay. RESULTS: We identified 12 unique cases, comprising 5 patient and 11 PCP interviews. Eight patients completed colonoscopy; median time to colonoscopy was 11.0 months (interquartile range, 6.3 months). Three patients had advanced adenomatous findings. Primary care providers highlighted system-level root causes, including inability to track referrals between primary care and gastroenterology, lack of protocols to follow up with patients, lack of electronic medical record interoperability, and lack of time or staffing resources, compelling tremendous additional effort by staff. In contrast, patients' highlighted individual-level root causes included comorbidities, social needs, and misunderstanding the importance of the FOBT. There was a little overlap between PCP and patient-elicited root causes. CONCLUSIONS: Current protocols do not accommodate communication between primary care and gastroenterology. Interventions to address specific barriers identified include improved interoperability between PCP and gastroenterology scheduling systems, protocols to follow-up on incomplete colonoscopies, accommodation for support and transport needs, and patient-friendly education. Interviewing both patients and PCPs leads to richer analysis of the root causes leading to delayed diagnosis of colorectal cancer.

A Qualitative Analysis of Outpatient Medication Use in Community Settings: Observed Safety Vulnerabilities and Recommendations for Improved Patient Safety.

OBJECTIVE: The aim of the study was to analyze diverse patients' experiences throughout the medication use process to inform the development of overarching interventions that support safe medication use in community settings. METHODS: Using a qualitative observational approach, we conducted approximately 18 hours of direct observation of the medication use process across multiple settings for a sample of vulnerable, high-risk patients. Observers recorded detailed field notes during the observations. To enrich the observational findings, we also conducted six semistructured interviews with medication safety experts representing a diversity of perspectives. Barriers and facilitators to safe medication use were identified based on inductive coding of the data. RESULTS: A variety of safety vulnerabilities plague all stages of the medication use process and many of the well-established evidence-based interventions aimed at improving the safety of medication use at key stages of the process have not been widely implemented in community settings observed in this study. Key safety vulnerabilities identified include: limited English proficiency, low health literacy, lack of clinician continuity, incomplete medication reconciliation and counseling, unsafe medication storage and disposal habits, and conflicting healthcare agendas with caregivers. CONCLUSIONS: Our findings underscore a need for overarching, comprehensive interventions that span the entire process of medication use, including integrated communication systems between clinicians, pharmacies, and patients, and a "patient navigator" program that assists patients in navigating the entire medication-taking process. Collective ownership of the medication management system and mutual motivation for devising collaborative solutions is needed among key sectors.

Communicating Critical Information to Cancer Survivors: an Assessment of Survivorship Care Plans in Use in Diverse Healthcare Settings.

Survivorship care plans (SCPs) serve to communicate critical information needed for cancer survivors' long-term follow-up care. The extent to which SCPs are tailored to meet the specific needs of underserved patient populations is understudied. To fill this gap, this study aimed to assess the content and communication appropriateness of SCPs collected from diverse healthcare settings. We analyzed collected SCPs (n = 16) for concordance with Institute of Medicine (IOM) recommendations for SCP content and for communication appropriateness using the Suitability Assessment of Materials (SAM) instrument. All plans failed to incorporate all IOM criteria, with the majority of plans (n = 11) incorporating less than 60% of recommended content. The average reading grade level of all the plans was 14, and only one plan received a superior rating for cultural appropriateness. There is significant variation in the format and content of SCPs used in diverse hospital settings and most plans are not written at an appropriate reading grade level nor tailored for underserved and/or minority patient populations. Co-designing SCPs with diverse patient populations is crucial to ensure that these documents are meeting the needs and preferences of all cancer survivors.

Collective intelligence in medical decision-making: a systematic scoping review.

BACKGROUND: Collective intelligence, facilitated by information technology or manual techniques, refers to the collective insight of groups working on a task and has the potential to generate more accurate information or decisions than individuals can make alone. This concept is gaining traction in healthcare and has potential in enhancing diagnostic accuracy. We aim to characterize the current state of research with respect to collective intelligence in medical decision-making and describe a framework for diverse studies in this topic. METHODS: For this systematic scoping review, we conducted a systematic search for published literature using PubMed, Embase, Web of Science, and CINAHL on August 8, 2017. We included studies that combined the insights of two or more medical experts to make decisions related to patient care. Studies that examined medical decisions such as diagnosis, treatment, and management in the context of an actual or theoretical patient case were included. We include studies of complex medical decision-making rather than identification of a visual finding, as in radiology or pathology. We differentiate between medical decisions, in which synthesis of multiple types of information is required over time, and studies of radiological scans or pathological specimens, in which objective identification of a visual finding is performed. Two reviewers performed article screening, data extraction, and final inclusion for analysis. RESULTS: Of 3303 original articles, 15 were included. Each study examined the medical decisions of two or more individuals; however, studies were heterogeneous in their methods and outcomes. We present a framework to characterize these diverse studies, and future investigations, based on how they operationalize collective intelligence for medical decision-making: 1) how the initial decision task was completed (group vs. individual), 2) how opinions were synthesized (information technology vs. manual vs. in-person), and 3) the availability of collective intelligence to participants. DISCUSSION: Collective intelligence in medical decision-making is gaining popularity to advance medical decision-making and holds promise to improve patient outcomes. However, heterogeneous methods and outcomes make it difficult to assess the utility of collective intelligence approaches across settings and studies. A better understanding of collective intelligence and its applications to medicine may improve medical decision-making.

Perceptions of cervical cancer prevention on Twitter uncovered by different sampling strategies.

INTRODUCTION: Cervical cancer prevention is possible through use of the HPV vaccine and Pap tests, yet the vaccine remains underutilized. METHODS: We obtained publicly-available Twitter data from 2014 using three sampling strategies (top-ranked, simple random sample, and topic model) based on key words related to cervical cancer prevention. We conducted a content analysis of 100 tweets from each of the three samples and examined the extent to which the narratives and frequency of themes differed across samples. RESULTS: Advocacy-related tweets constituted the most prevalent theme to emerge across all three sample types, and were most frequently found in the top-ranked sample. A random sample detected the same themes as topic modeling, but the relative frequency of themes identified from topic modeling fell in-between top-ranked and random samples. DISCUSSION: Variations in themes uncovered by different sampling methods suggest it is useful to qualitatively assess the relative frequency of themes to better understand the breadth and depth of social media conversations about health. CONCLUSIONS: Future studies using social media data should consider sampling methods to uncover a wider breadth of conversations about health on social media.

Social Media as a Tool to Promote Health Awareness: Results from an Online Cervical Cancer Prevention Study.

Online social media platforms represent a promising opportunity for public health promotion. Research is limited, however, on the effectiveness of social media at improving knowledge and awareness of health topics and motivating healthy behavior change. Therefore, we investigated whether participation in an online social media platform and receipt of brief, tailored messages is effective at increasing knowledge, awareness, and prevention behaviors related to human papillomavirus (HPV) and cervical cancer. We conducted an online study in which 782 recruited participants were consecutively assigned to nine-person groups on a social media platform. Participants were shown a unique random set of 20 tailored messages per day over five days. Participants completed a baseline and post survey to assess their knowledge, awareness, and prevention behaviors related to HPV and cervical cancer. There were no statistically significant changes in knowledge and prevention behaviors from the baseline to the post survey among study participants. There was a modest, statistically significant change in response to whether participants had ever heard of HPV, increasing from 90 to 94% (p = 0.003). Our findings suggest that most study participants had substantial knowledge, awareness, and engagement in positive behaviors related to cervical cancer prevention at the start of the study. Nevertheless, we found that HPV awareness can be increased through brief participation in an online social media platform and receipt of tailored health messages. Further investigation that explores how social media can be used to improve knowledge and adoption of healthy behaviors related to cervical cancer is warranted.

Redesigning primary care in the safety net: A qualitative analysis of team-based care implementation.

BACKGROUND: Team-based care is an innovative approach to primary care in which groups of health care professionals work collaboratively to manage care for groups of patients. Safety-net organizations face specific barriers to implementing health care innovations. More research is needed that documents the dynamics that inform implementation and sustainment of innovative practices in the safety net. METHODS: We conducted qualitative fieldwork, including purposeful observation and semi-structured and informal interviews, to explore the implementation of care teams in safety-net clinics in California. Field notes and transcripts were analyzed using an inductive approach to identify overarching themes across sites. RESULTS: Salient themes across clinics suggest that 1) well-designed physical layouts that promote sustained patterns of structured and spontaneous communication and collaboration are critical to creating high-functioning teams; 2) implementation of team-based care relies on a relaxing of the traditional clinic hierarchy into an agile organizational structure that empowers all clinic staff-most notably medical assistants-by facilitating an ethos of collaborative decision-making, interdependence, and shared responsibility; and 3) resource constraints related to recruitment and retention of qualified staff are key barriers to implementation. CONCLUSIONS: Team-based care has the potential to improve patient outcomes, strengthen relationships and well-being among clinic staff, and expand staff roles to facilitate collective accomplishment of work goals. To successfully launch and sustain care teams in safety-net clinics, greater commitments to creating well-designed spaces and a re-envisioning of the training and compensation for medical assistants that reflects the valuable role these individuals can play appear to be necessary.

Testing and improving the acceptability of a web-based platform for collective intelligence to improve diagnostic accuracy in primary care clinics.

OBJECTIVES: Usable tools to support individual primary care clinicians in their diagnostic processes could help to reduce preventable harm from diagnostic errors. We conducted a formative study with primary care providers to identify key requisites to optimize the acceptability of 1 online collective intelligence platform (Human Diagnosis Project; Human Dx). MATERIALS AND METHODS: We conducted semistructured interviews with practicing primary care clinicians in a sample of the US community-based clinics to examine the acceptability and early usability of the collective intelligence online platform using standardized clinical cases and real-world clinical cases from the participants' own practice. We used an integrated inductive-deductive qualitative analysis approach to analyze the interview transcripts. RESULTS AND DISCUSSION: Perceived usefulness, perceived accuracy, quality assurance, trust, and ease of use emerged as essential domains of acceptability required for providers to use a collective intelligence tool in clinical practice. Participants conveyed that the collective opinion should: (1) contribute to their clinical reasoning, (2) boost their confidence, (3) be generated in a timely manner, and (4) be relevant to their clinical settings and use cases. Trust in the technology platform and the clinical accuracy of its collective intelligence output emerged as an incontrovertible requirement for user acceptance and engagement. CONCLUSION: We documented key requisites to building a collective intelligence technology platform that is trustworthy, useful, and acceptable to target end users for assistance in the diagnostic process. These key lessons may be applicable to other provider-facing decision support platforms.