Dataset Information

Cancer Screening Among Adults With and Without Serious Mental Illness: A Mixed Methods Study.

ABSTRACT:

Background

Persons with serious mental illness (SMI) die 10-20 years earlier than the general population; cancer is the second leading cause of death. Differences in cancer screening between SMI and the general population are not well understood.

Objectives

To describe receipt of cancer screening among individuals with versus without SMI and to explore clinicians' perceptions around cancer screening for people with SMI.

Methods

Mixed-methods study using 2010-2017 MarketScan commercial insurance administrative claims data and semi-structured clinician interviews. In the quantitative analyses, we used multivariate logistic regression analyses to calculate the likelihood of receiving cervical, breast, colorectal, or prostate cancer screening among people with versus without SMI, defined as schizophrenia or bipolar disorder. We conducted semi-structured interviews with 17 primary care physicians and 15 psychiatrists. Interview transcripts were coded using a hybrid deductive/inductive approach.

Results

Relative to those without SMI, individuals with SMI were less likely to receive screening for cervical cancer [adjusted odds ratio (aOR): 0.80; 95% confidence interval (CI): 0.80-0.81], breast cancer (aOR: 0.79; 95% CI: 0.78-0.80), colorectal cancer (aOR: 0.90; 95% CI: 0.89-0.91), and prostate cancer (aOR: 0.85; 95% CI: 0.84-0.87). Clinicians identified 5 themes that may help explain the lower rates of cancer screening in persons with SMI: access to care, available support, prioritization of other issues, communication, and patient concerns.

Conclusions

People with SMI were less likely to receive 4 common types of cancer screening. Improving cancer screening rates in the SMI population will likely require a multidisciplinary approach to overcome barriers to screening.

SUBMITTER: Murphy KA

PROVIDER: S-EPMC7952680 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Cancer Screening Among Adults With and Without Serious Mental Illness: A Mixed Methods Study.

Murphy Karly A KA Stone Elizabeth M EM Presskreischer Rachel R McGinty Emma E EE Daumit Gail L GL Pollack Craig E CE

Medical care 20210401 4

<h4>Background</h4>Persons with serious mental illness (SMI) die 10-20 years earlier than the general population; cancer is the second leading cause of death. Differences in cancer screening between SMI and the general population are not well understood.<h4>Objectives</h4>To describe receipt of cancer screening among individuals with versus without SMI and to explore clinicians' perceptions around cancer screening for people with SMI.<h4>Methods</h4>Mixed-methods study using 2010-2017 MarketScan ...[more]

PMID: 33704103

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Project description:BackgroundYoung adults with serious mental illness (SMI) have higher smoking rates and lower cessation rates than young adults without SMI. Scalable interventions such as smartphone apps with evidence-based content (eg, the National Cancer Institute's [NCI's] QuitGuide and quitSTART) could increase access to potentially appealing and effective treatment for this group but have yet to be tested in this population.ObjectiveThe goal of this user-centered design study is to determine the user experience (including usability and acceptability) of 2 widely available apps developed by the NCI-QuitGuide and quitSTART-among young adult tobacco users with SMI.MethodsWe conducted usability and acceptability testing of QuitGuide and quitSTART among participants with SMI aged between 18 and 35 years who were stable in community mental health treatment between 2019 and 2020. Participants were randomly assigned to use QuitGuide or quitSTART on their smartphones. App usability was evaluated at baseline and following a 2-week field test of independent use via a video-recorded task completion protocol. Using a mixed method approach, we triangulated 4 data sources: nonparticipant observation, open-ended interviews, structured interviews (including the System Usability Scale [SUS]), and backend app use data obtained from the NCI. Quantitative data were analyzed using descriptive statistics, and qualitative data were analyzed using thematic analysis.ResultsParticipants were 17 smokers who were not interested in quitting, with a mean age of 29 (SD 4) years; 41% (n=7) presented with psychotic disorders. Participants smoked an average of 15 (SD 7) cigarettes per day. The mean SUS scores for QuitGuide were similar at visits one and two (mean 64, SD 18 and mean 66, SD 18, respectively). The mean SUS scores for quitSTART numerically increased from visit one (mean 55, SD 20) to visit two (mean 64, SD 16). Acceptability scores followed the same pattern. Observed task completion rates were at least 75% (7/9 for QuitGuide, 6/8 for quitSTART) for both apps at both visits for all but 2 tasks. During the 13-day trial period, QuitGuide and quitSTART users interacted with their assigned app on an average of 4.6 (SD 2.8) days versus 10.8 (SD 3.5) days, for a mean total of 5.6 (SD 3.8) interactions versus 41 (SD 26) interactions, and responded to a median of 1 notification (range 0-8) versus 18.5 notifications (range 0-37), respectively. Qualitative comments indicated moderate to high satisfaction overall but also included concerns about the accuracy of the apps' feedback.ConclusionsBoth QuitGuide and quitSTART had acceptable levels of usability and mixed levels of acceptability among young adults with SMI. The higher level of engagement with quitSTART suggests that quitSTART may be a favorable tool for young adult smokers with SMI. However, clinical support or coaching may be needed to overcome initial usability issues.

Project description:IntroductionPeople with serious mental illness (SMI) have poor health outcomes, in part because of inequitable access to quality health services. Primary care is well suited to coordinate and manage care for this population; however, providers may feel ill-equipped to do so and patients may not have the support and resources required to coordinate their care. We lack a strong understanding of prevention and management of chronic disease in primary care among people with SMI as well as the context-specific barriers that exist at the patient, provider and system levels. This mixed methods study will answer three research questions: (1) How do primary care services received by people living with SMI differ from those received by the general population? (2) What are the experiences of people with SMI in accessing and receiving chronic disease prevention and management in primary care? (3) What are the experiences of primary care providers in caring for individuals with SMI?Methods and analysisWe will conduct a concurrent mixed methods study in Ontario and British Columbia, Canada, including quantitative analyses of linked administrative data and in-depth qualitative interviews with people living with SMI and primary care providers. By comparing across two provinces, each with varying degrees of mental health service investment and different primary care models, results will shed light on individual and system-level factors that facilitate or impede quality preventive and chronic disease care for people with SMI in the primary care setting.Ethics and disseminationThis study was approved by the University of Ottawa Research Ethics Board and partner institutions. An integrated knowledge translation approach brings together researchers, providers, policymakers, decision-makers, patient and caregiver partners and knowledge users. Working with this team, we will develop policy-relevant recommendations for improvements to primary care systems that will better support providers and reduce health inequities.

Project description:BackgroundMost mental disorders begin in adolescence; however, there are gaps in our understanding of youth mental health. Clinical and policy gaps arise from our current inability to predict, from amongst all youth who experience mild behavioural disturbances, who will go on to develop a mental illness, what that illness will be, and what can be done to change its course and prevent its worsening to a serious mental illness (SMI). There are also gaps in our understanding of how known risk factors set off neurobiological changes that may play a role in determining who will develop a SMI. Project goals are (i) to identify youth at different stages of risk of SMI so that intervention can begin as soon as possible and (ii) to understand the triggers of these mental illnesses.MethodThis 2-site longitudinal study will recruit 240 youth, ages 12-25, who are at different stages of risk for developing a SMI. The sample includes (a) healthy individuals, (b) symptom-free individuals who have a first-degree relative with a SMI, (c) youth who are experiencing distress and may have mild symptoms of anxiety or depression, and (d) youth who are already demonstrating attenuated symptoms of SMI such as bipolar disorder or psychosis. We will assess, every 6 months for one year, a wide range of clinical and psychosocial factors to determine which factors can be used to predict key outcomes. We will also assess neuroimaging and peripheral markers. We will develop and validate a prediction algorithm that includes demographic, clinical and psychosocial predictors. We will also determine if adding biological markers to our algorithm improves prediction.DiscussionOutcomes from this study include an improved clinical staging model for SMI and prediction algorithms that can be used by health care providers as decision-support tools in their practices. Secondly, we may have a greater understanding of clinical, social and cognitive factors associated with the clinical stages of development of a SMI, as well as new insights from neuroimaging and later neurochemical biomarker studies regarding predisposition to SMI development and progression through the clinical stages of illness.

Project description:INTRODUCTION:Successful competitive employment has been found to be related to enhanced self-esteem, higher quality of life and reduced mental health service use for individuals living with serious mental illnesses (SMIs) including schizophrenia, bipolar disorder and major depression. The effectiveness of the individual placement and support model has been demonstrated in multiple randomised controlled trials in many countries. The management of stress, depression and anxiety in the workplace may be effectively enhanced through digital mental health interventions. The WorkingWell mobile support tool ('app') is specifically designed to meet the need for illness management support for individuals with SMI in the workplace, as an adjunct to professional treatment. METHODS AND ANALYSIS:The WorkingWell app, grounded in evidence-based supported employment, is informed by user experience design. It will be tested in a pre-post design, mixed-methods pilot study to explore issues of feasibility, acceptability and usefulness, and to provide preliminary data on the impact of use. Putative mediators of improved job tenure and psychological well-being, including postintervention changes in social support, self-efficacy and work-related motivation, will be investigated. Forty individuals at least 18 years of age, meeting the eligibility requirements for supported employment services (ie, diagnosed with a mental illness meeting the criteria for severity, duration and treatment), working a minimum of 10 hours per week at study enrolment, and speaking, reading and writing in English will be recruited for the pilot study. Research staff will recruit individuals at community-based mental health agencies; provide orientation to the study, the study smartphones and the WorkingWell app; conduct research interviews including standardised measures as well as semistructured items; and provide technical assistance in telephone calls and inperson meetings. A sample of 10 agency staff will be recruited to obtain further information on the feasibility, acceptability and usefulness of WorkingWell. ETHICS AND DISSEMINATION:The study design and procedures are approved by the Dartmouth-Hitchcock Medical Center Committee for the Protection of Human Subjects, the Massachusetts Department of Mental Health Central Office Research Review Committee and the Vermont Agency of Human Services Institutional Review Board. Study findings will be disseminated to agency partners, state agencies and funders, and to the research and technology development communities. Findings from the study will inform the design, data collection procedures and protocol for future full-scale randomised controlled trial testing of the effectiveness of the WorkingWell app, as well as investigations of work-related variables as mediators of psychological well-being and quality of life for individuals with SMI.

Project description:ImportanceHigh-quality, person-centered patient-clinician communication is critical in health care and may be less effective for patients with serious illness. Little is understood about differences in patient-clinician communication experiences of adults with and without serious illness.ObjectivesTo determine whether perceptions of patient-clinician communication experiences differ between adults with and without serious illness.Design, setting, and participantsThis population-based cross-sectional survey was fielded from April 20 to May 31, 2021, and data were analyzed from January 27, 2023, to December 10, 2024. Participants included a nationally representative sample of US English- or Spanish-speaking adults, including people from historically marginalized groups (eg, Black and Hispanic or Latino individuals, people with low income), responding to an online or telephone survey.ExposureParticipants were categorized by serious illness status. Participants with serious illness replied yes to (1) having a diagnosis from a list of medical conditions and (2) reporting feeling sicker or having decreased functionality during the last year.Main outcomes and measuresThe survey asked about community partner-derived measures of patient-clinician communication experiences, including trusting clinicians, feeling afraid to speak up, and being unsure about next steps. Multivariable logistic regression models were used to estimate the association of serious illness with these communication experiences, adjusting for sociodemographic characteristics. Percentages were weighted according to the National Opinion Research Center's statistical weighting methods to account for differences in nonresponse.ResultsOf 6126 individuals invited, 1847 (30.2%) completed the survey and were included in analysis (mean [SD] age, 48.4 [17.5] years); 950 (51.8%) identified as female; 191 (11.9%) identified as Black and 287 (16.7%) as Hispanic; and 434 (17.8%) had an annual income less than $30 000 (here called low income). Among respondents, 363 participants (18.5%) had serious illness (mean [SD] age, 50.2 [18.1] years; 218 [64.5%] female; 34 [12.4%] Black; 54 [16.4%] Hispanic; 131 [27.3%] with low income), and 1484 (81.5%) had no serious illness (mean [SD] age, 48.0 [17.4] years; 732 [48.9%] female; 157 [11.8%] Black; 233 [16.7%] Hispanic; 303 [15.6%] with low income). Compared with adults without serious illness, adults with serious illness were more likely to report leaving a visit unsure about next steps (adjusted odds ratio [AOR], 2.30; 95% CI, 1.62-3.27); being afraid to ask questions or speak up (AOR, 2.18; 95% CI, 1.55-3.08); believing they were talked down to or made to feel inferior (AOR, 1.90; 95% CI, 1.24-2.91); and believing that they were treated unfairly by clinicians (AOR, 3.26; 95% CI, 2.43-4.38).Conclusions and relevanceIn this cross-sectional study, adults with serious illness more often had worse patient-clinician communication experiences. Further research is needed to better understand and develop interventions to improve perceptions of patient-clinician communication experiences for adults with serious illness.

Dataset Information

Cancer Screening Among Adults With and Without Serious Mental Illness: A Mixed Methods Study.

Background

Objectives

Methods

Results

Conclusions

Publications

Cancer Screening Among Adults With and Without Serious Mental Illness: A Mixed Methods Study.

Similar Datasets

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