Marianne Matthias

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https://hdl.handle.net/1805/6817

Making Treatment Decisions with Your Healthcare Provider

Dr. Matthias and her colleagues are working to develop an intervention to improve shared decision making in chronic pain and mental health care. She is collecting observational and interview data from these two care settings to identify strengths and weaknesses in communication and how communicating treatment decisions can be improved to better involve collaboration and equality between patients and providers. Once the data from the observations is analyzed, it will be used to design and test an intervention to improve shared decision making. The next step will then be implementing this intervention in clinics.

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The Role of Patient Activation in Psychiatric Visits
(2009-11) Salyers, Michelle P.; Matthias, Marianne S.; Spann, Crystal; Lydick, Jennifer; Rollins, Angela L.; Frankel, Richard M.
OBJECTIVE: This study identified ways that consumers of mental health services are active participants in psychiatric treatment. METHODS: Four providers (three psychiatrists and one nurse practitioner) were recruited, and ten consumers with severe mental illness were recruited per provider (40 total). Consumers completed questionnaires on patient activation, illness self-management, and medication attitudes on the day of a psychiatric visit. The visit was audiotaped, transcribed, and thematically analyzed. Providers gave information on diagnosis, substance use disorder, and medication adherence. RESULTS: Consumer-rated patient activation was positively related to illness self-management and negatively related to substance use disorder. Transcripts of the psychiatric visit showed that consumers were active in partnership building, seeking and displaying competence, and directing treatment; however, the relationship was weak between consumer-reported activation and observed activation behaviors. CONCLUSIONS: Consumers were found to be active participants in treatment in a variety of ways, but similar to other populations, the relationship between observed patient activation and consumer-reported desire for involvement was not direct.
A Coding System to Measure Elements of Shared Decision Making During Psychiatric Visits
(2012-08) Salyers, Michelle P.; Matthias, Marianne S.; Fukui, Sadaaki; Holter, Mark C.; Collins, Linda; Rose, Nichole; Thompson, John; Coffman, Melinda; Torrey, William C.
Objective: Shared decision making is widely recognized to facilitate effective health care. The purpose of this study was to assess the applicability and usefulness of a scale to measure the presence and extent of shared decision making in clinical decisions in psychiatric practice. Methods: A coding scheme assessing shared decision making in general medical settings was adapted to mental health settings, and a manual for using the scheme was created. Trained raters used the adapted scale to analyze 170 audio-recordings of medication check-up visits with either psychiatrists or nurse practitioners. The scale assessed the level of shared decision making based on the presence of nine specific elements. Interrater reliability was examined, and the frequency with which elements of shared decision making were observed was documented. The association between visit length and extent of shared decision making was also examined. Results: Interrater reliability among three raters on a subset of 20 recordings ranged from 67% to 100% agreement for the presence of each of the nine elements of shared decision making and 100% for the agreement between provider and consumer on decisions made. Of the 170 sessions, 128 (75%) included a clinical decision. Just over half of the decisions (53%) met minimum criteria for shared decision making. Shared decision making was not related to visit length after the analysis controlled for the complexity of the decision. Conclusions: The rating scale appears to reliably assess shared decision making in psychiatric practice and could be helpful for future research, training, and implementation efforts.
Agenda Setting in Psychiatric Consultations: An Exploratory Study
(2013) Frankel, Richard M.; Salyers, Michelle P.; Bonfils, Kelsey; Oles, Sylwia; Matthias, Marianne S.
Circumstances and consequences of falls among people with chronic stroke
(2013) Schmid, Arlene A.; Yaggi, H. Klar; Burrus, Nicholas; McClain, Vincent; Austin, Charles; Ferguson, Jared; Fragoso, Carlos; Sico, Jason J.; Miech, Edward J.; Matthias, Marianne S.; Williams, Linda S.; Bravata, Dawn M.
Falls are common after stroke; however, circumstances and consequences are relatively unknown. Our objectives were to identify the differences between fallers and non-fallers among people with chronic stroke, identify the circumstances of fall events, and examine the consequences of the falls. This is a secondary data analysis; all participants included sustained a stroke. Variables included demographics, stroke characteristics, and comorbidities. Falls were collected via self-report, and circumstances and consequences were derived from participant description of the event and categorized as appropriate. Among 160 participants, 53 (33%) reported a fall during the 1 yr period. Circumstances of falls were categorized as intrinsic or extrinsic. Location and circumstance of the fall were included: 70% occurred at home and 40% were associated with impaired physical or mental state (e.g., inattention to tying shoes). Additionally, 21% of falls were associated with activities of daily living and mobility and 34% with slips or trips. The majority who fell sustained an injury (72%). Injuries ranged from bruising to fractures, and 55% of those with an injury sought medical care (32% to emergency department). Poststroke falls are associated with an alarming rate of injury and healthcare utilization. Targeting mental and physical states may be key to fall prevention.
Re-Thinking Shared Decision‐Making: Context Matters
(2013-05) Matthias, Marianne S.; Salyers, Michelle P.; Frankel, Richard M.
Objective Traditional perspectives on shared decision-making (SDM) focus attention on the point in a clinical encounter where discussion of a treatment decision begins. We argue that SDM is shaped not only by initiation of a treatment decision, but also by the entire clinical encounter, and, even more broadly, by the nature of the patient–provider relationship. Method The Four Habits Approach to Effective Clinical Communication, a validated and widely used framework for patient–provider communication, was used to understand how SDM is integrally tied to the entire clinical encounter, as well as to the broader patient–provider relationship. Results The Four Habits consists of four categories of behaviors: (1) invest in the beginning; (2) elicit the patient's perspective; (3) demonstrate empathy; and (4) invest in the end. We argue that the behaviors included in all four of these categories work together to create and maintain an environment conducive to SDM. Conclusion SDM cannot be understood in isolation, and future SDM research should reflect the influence that the broader communicative and relational contexts have on decisions. Practice implications SDM training might be more effective if training focused on the broader context of communication and relationships, such as those specified by the Four Habits framework.
Predictors of Shared Decision Making and Level of Agreement between Consumers and Providers in Psychiatric Care
(2014) Fukui, Sadaaki; Salyers, Michelle P.; Matthias, Marianne S.; Collins, Linda; Thompson, John; Coffman, Melinda; Torrey, William C.
You and me and the computer makes three: variations in exam room use of the electronic health record
(Oxford University Press, 2014-02) Saleem, Jason J.; Flanagan, Mindy E.; Russ, Alissa L.; McMullen, Carmit K.; Elli, Leora; Russell, Scott A.; Bennett, Katelyn J.; Matthias, Marianne S.; Rehman, Shakaib U.; Schwartz, Mark D.; Frankel, Richard M.; Medicine, School of Medicine
Challenges persist on how to effectively integrate the electronic health record (EHR) into patient visits and clinical workflow, while maintaining patient-centered care. Our goal was to identify variations in, barriers to, and facilitators of the use of the US Department of Veterans Affairs (VA) EHR in ambulatory care workflow in order better to understand how to integrate the EHR into clinical work. We observed and interviewed 20 ambulatory care providers across three geographically distinct VA medical centers. Analysis revealed several variations in, associated barriers to, and facilitators of EHR use corresponding to different units of analysis: computer interface, team coordination/workflow, and organizational. We discuss our findings in the context of different units of analysis and connect variations in EHR use to various barriers and facilitators. Findings from this study may help inform the design of the next generation of EHRs for the VA and other healthcare systems.
Using Simulation to Assess the Influence of Race and Insurer on Shared Decision-making in Periviable Counseling
(Lippincott Williams & Wilkins, 2014-12) Edmonds, Brownsyne Tucker; McKenzie, Fatima; Fadel, William F.; Matthias, Marianne S.; Salyers, Michelle P.; Barnato, Amber E.; Frankel, Richard M.; Department of Obstetrics and Gynecology, IU School of Medicine
Introduction: Sociodemographic differences have been observed in the treatment of extremely premature (periviable) neonates, but the source of this variation is not well understood. We assessed the feasibility of using simulation to test the effect of maternal race and insurance status on shared decision making (SDM) in periviable counseling. Methods: We conducted a 2 × 2 factorial simulation experiment in which obstetricians and neonatologists counseled 2 consecutive standardized patients diagnosed with ruptured membranes at 23 weeks, counterbalancing race (black/white) and insurance status using random permutation. We assessed verisimilitude of the simulation in semistructured debriefing interviews. We coded physician communication related to resuscitation, mode of delivery, and steroid decisions using a 9-point SDM coding framework and then compared communication scores by standardized patient race and insurer using analysis of variance. Results: Sixteen obstetricians and 15 neonatologists participated; 71% were women, 84% were married, and 75% were parents; 91% of the physicians rated the simulation as highly realistic. Overall, SDM scores were relatively high, with means ranging from 6.4 to 7.9 (of 9). There was a statistically significant interaction between race and insurer for SDM related to steroid use and mode of delivery (P < 0.01 and P = 0.01, respectively). Between-group comparison revealed nonsignificant differences (P = <0.10) between the SDM scores for privately insured black patients versus privately insured white patients, Medicaid-insured white patients versus Medicaid-insured black patients, and privately insured black patients versus Medicaid-insured black patients. Conclusions: This study confirms that simulation is a feasible method for studying sociodemographic effects on periviable counseling. Shared decision making may occur differentially based on patients’ sociodemographic characteristics and deserves further study.
Consumer and Relationship Factors Associated with Shared Decision-Making in Mental Health Consultations
(2014-12) Matthias, Marianne S.; Fukui, Sadaaki; Kukla, Marina; Eliacin, Johanne; Bonfils, Kelsey A.; Firmin, Ruth; Oles, Sylwia; Adams, Erin L.; Collins, Linda A.; Salyers, Michelle P.; Department of Psychology, IU School of Science
Objective: This study explored the association between shared decision making and consumers’ illness management skills and consumer-provider relationships. Methods: Medication management appointments for 79 consumers were audio recorded. Independent coders rated overall shared decision making, minimum level of shared decision making, and consumer-provider agreement for 63 clients whose visit included a treatment decision. Mental health diagnoses, medication adherence, patient activation, illness management, working alliance, and length of consumer-provider relationships were also assessed. Correlation analyses were used to determine relationships among measures. Results: Overall shared decision making was not associated with any variables. Minimum levels of shared decision making were associated with higher scores on the bond subscale of the Working Alliance Inventory, indicating a higher degree of liking and trust, and with better medication adherence. Agreement was associated with shorter consumer-provider relationships. Conclusions: Consumer-provider relationships and shared decision making might have a more nuanced association than originally thought.
A Brief Peer Support Intervention for Veterans with Chronic Musculoskeletal Pain: A Pilot Study of Feasibility and Effectiveness
(Wiley, 2015-01) Matthias, Marianne S.; McGuire, Alan B.; Kukla, Marina; Daggy, Joanne; Myers, Laura J.; Bair, Matthew J.; Department of Communication Studies, School of Liberal Arts
Objective The aim of this study was to pilot test a peer support intervention, involving peer delivery of pain self-management strategies, for veterans with chronic musculoskeletal pain. Design Pretest/posttest with 4-month intervention period. Methods Ten peer coaches were each assigned 2 patients (N = 20 patients). All had chronic musculoskeletal pain. Guided by a study manual, peer coach–patient pairs were instructed to talk biweekly for 4 months. Pain was the primary outcome and was assessed with the PEG, a three-item version of the Brief Pain Inventory, and the PROMIS Pain Interference Questionnaire. Several secondary outcomes were also assessed. To assess change in outcomes, a linear mixed model with a random effect for peer coaches was applied. Results Nine peer coaches and 17 patients completed the study. All were male veterans. Patients' pain improved at 4 months compared with baseline but did not reach statistical significance (PEG: P = 0.33, ICC [intra-class correlation] = 0.28, Cohen's d = −0.25; PROMIS: P = 0.17, d = −0.35). Of secondary outcomes, self-efficacy (P = 0.16, ICC = 0.56, d = 0.60) and pain centrality (P = 0.06, ICC = 0.32, d = −0.62) showed greatest improvement, with moderate effect sizes. Conclusions This study suggests that peers can effectively deliver pain self-management strategies to other veterans with pain. Although this was a pilot study with a relatively short intervention period, patients improved on several outcomes.

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