Is Health Literacy Associated With Surgical Outcomes? A Systematic Review.

INTRODUCTION: Low levels of health literacy have been shown to increase healthcare utilization and negatively affect health outcomes within medical specialties. However, the relationship of health literacy with clinical, patient-centered, and process-oriented surgical outcomes is not as well understood. MATERIALS AND METHODS: We sought to systematically review the current evidence base regarding the relationship between health literacy and a range of outcomes in patients experiencing surgical care. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched six databases and then identified and extracted data from 25 cross-sectional or cohort studies deemed eligible for a systematic review. RESULTS: Among included studies, strong evidence exists to support an association between low health literacy and worse patient-centered outcomes, as well as an association between low health literacy and poorer process-oriented surgical outcomes. However, the relationship between health literacy and clinical outcomes remains unclear. CONCLUSIONS: Substantial opportunities remain to improve our understanding of the impact of health literacy on surgical outcomes. Future work should expand the range of institutional and specialized surgical settings studied, implement a standardized set of validated health literacy assessment tools, include more diverse patient populations, and investigate a comprehensive range of patient-reported outcomes.

Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.

INTRODUCTION: Osteoarthritis (OA) is a major clinical and public health concern. The primary surgical treatment of knee OA is total knee replacement (TKR), a procedure that aims to alleviate pain and restore physical function. TKR is expensive, however, and based on professional guidelines, inappropriately performed in up to a third of patients. Patient-reported outcome measures (PROMs) help evaluate treatment options by quantifying health outcomes that matter to patients and can thus inform shared decision-making (SDM) between patients and health professionals. METHODS AND ANALYSIS: This is a US-based 2-year, two-site hybrid type 1 study to assess clinical effectiveness and implementation of a machine learning-based patient decision aid (PDA) integrating patient-reported outcomes and clinical variables to support SDM for patients with knee OA considering TKR. Substudy 1: At one study site, a randomised controlled trial is evaluating the clinical effectiveness of the PDA and SDM process on decision quality as measured after the baseline consultation and treatment choice measured 3 and 6 months after the baseline visit among 200 patients with knee OA. Substudy 2: At a second study site, a qualitative assessment using principles of behaviour design and intervention mapping is evaluating the feasibility and acceptability of the PROMs, PDA and SDM process by interviewing seven health professionals and 25 patients before and 25 patients after PDA implementation. ETHICS AND DISSEMINATION: Ethics approval has been obtained from The University of Texas at Austin Institutional Review Board (protocol number: 2018-11-0042). Informed consent will be obtained from all participants. Study results will be disseminated through conference presentations, publications and professional societies. TRIAL REGISTRATION NUMBER: NCT04805554.

Effect of a Question-Building Intervention on Patient Activation in Integrated Musculoskeletal Care.

Patient activation, the propensity for patients to engage in adaptive health behaviors, is a modifiable factor associated with health outcomes and treatment compliance. The authors evaluated the effect of a question-building intervention (QBI) on patient activation among patients with musculoskeletal symptoms and a low baseline level of activation. Patients seeking treatment for musculoskeletal pain were recruited at the beginning of their outpatient clinic appointment, and they completed the Patient Activation Measure 10-item version (PAM-10) and a demographic questionnaire. Those identified as low activating, based on the initial PAM-10 scores, completed a QBI protocol before their consultation with their provider. A follow-up PAM-10 survey was administered at the end of the visit. A paired sample Student's t test was used to evaluate preintervention and postintervention PAM-10 scores. Fisher's exact test and an unpaired t test were used to assess the association between demographic variables and achievement of minimal clinically important difference (MCID) for PAM-10. Of 194 patients who consented to participate, 60 were identified as low activating and completed the QBI. A paired Student's t test showed a statistically significant increase in mean PAM-10 scores from preintervention (47.3±7.4) to postintervention (54.8±16.8; P<.001). No statistically significant differences were shown in the likelihood of achieving MCID for PAM-10 scores for the sociodemographic variables that were tested. Low-activating patients may benefit from a simple question-formulating intervention before consultation with an orthopedic provider. [Orthopedics. 2021;44(5):e661-e667.].

Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.

Importance: Decision aids can help inform appropriate selection of total knee replacement (TKR) for advanced knee osteoarthritis (OA). However, few decision aids combine patient education, preference assessment, and artificial intelligence (AI) using patient-reported outcome measurement data to generate personalized estimations of outcomes to augment shared decision-making (SDM). Objective: To assess the effect of an AI-enabled patient decision aid that includes education, preference assessment, and personalized outcome estimations (using patient-reported outcome measurements) on decision quality, patient experience, functional outcomes, and process-level outcomes among individuals with advanced knee OA considering TKR in comparison with education only. Design, Setting, and Participants: This randomized clinical trial at a single US academic orthopedic practice included 129 new adult patients presenting for OA-related knee pain from March 2019 to January 2020. Data were analyzed from April to May 2020. Intervention: Patients were randomized into a group that received a decision aid including patient education, preference assessment, and personalized outcome estimations (intervention group) or a group receiving educational material only (control group) alongside usual care. Main Outcomes and Measures: The primary outcome was decision quality, measured using the Knee OA Decision Quality Instrument (K-DQI). Secondary outcomes were collaborative decision-making (assessed using the CollaboRATE survey), patient satisfaction with consultation (using a numerical rating scale), Knee Injury and Osteoarthritis Outcome Score Joint Replacement (KOOS JR) score, consultation time, TKR rate, and treatment concordance. Results: A total of 69 patients in the intervention group (46 [67%] women) and 60 patients in the control group (37 [62%] women) were included in the analysis. The intervention group showed better decisional quality (K-DQI mean difference, 20.0%; SE, 3.02; 95% CI, 14.2%-26.1%; P < .001), collaborative decision-making (CollaboRATE, 8 of 69 [12%] vs 28 of 60 [47%] patients below median; P < .001), satisfaction (numerical rating scale, 9 of 65 [14%] vs 19 of 58 [33%] patients below median; P = .01), and improved functional outcomes at 4 to 6 months (mean [SE] KOOS JR, 4.9 [2.24] points higher in intervention group; 95% CI, 0.8-9.0 points; P = .02). The intervention did not significantly affect consultation time (mean [SE] difference, 2.23 [2.18] minutes; P = .31), TKR rates (16 of 69 [23%] vs 7 of 60 [12%] patients; P = .11), or treatment concordance (58 of 69 [84%] vs 44 of 60 [73%] patients; P = .19). Conclusions and Relevance: In this randomized clinical trial, an AI-enabled decision aid significantly improved decision quality, level of SDM, satisfaction, and physical limitations without significantly impacting consultation times, TKR rates, or treatment concordance in patients with knee OA considering TKR. Decision aids using a personalized, data-driven approach can enhance SDM in the management of knee OA. Trial Registration: ClinicalTrials.gov Identifier: NCT03956004.

The Therapeutic Activity Goal for Acute Postoperative Pain Management.

Acute pain intensity has conventionally been assessed with a patient self-reported, unidimensional pain scale. This approach can inadvertently underestimate analgesia and result in large cumulative opioid doses and greater dose-dependent side effects and complications. We have thus created the Therapeutic Activity Goal (TAG) as an alternate, more comprehensive way to assess acute postoperative pain, and even more so, to define and determine adequate postoperative analgesia. The TAG comprises the level of acceptable pain intensity, the level and types of desired activities, and accomplishing other patient-centered functional goals. The TAG evolves throughout the patient's hospitalization to promote timely discharge.

Impact of Health Literacy on Time Spent Seeking Hand Care.

BACKGROUND: Patients with limited health literacy may have less knowledge and fewer resources for efficient access and navigation of the health care system. We tested the null hypothesis that there is no correlation between health literacy and total time spent seeking hand surgery care. METHODS: New patients visiting a hand surgery clinic at a suburban academic medical center were asked to complete a questionnaire to determine demographics, total time spent seeking hand surgery care, and outcomes. A total of 112 patients were included in this study. RESULTS: We found health literacy levels did not correlate with total time seeking hand surgery care or from booking an appointment to being evaluated in clinic. CONCLUSIONS: In this suburban academic medical center, patients with low health literacy do not spend more time seeking hand surgery care and do have longer delays between seeking and receiving care. The finding that-at least in this setting-health literacy does not impact patient time seeking hand care suggests that resources to improve health disparities can be focused elsewhere in the care continuum.

Centers for Medicare & Medicaid Services' Comprehensive Care for Joint Replacement: The Present and Future for Orthopedic Surgeons.

The primary aim of this article is to describe the structure and challenges of Medicare and Medicaid reimbursement for a total hip or knee arthroplasty within the context of the Comprehensive Care for Joint Replacement model. The secondary aims are to identify potential challenges for reimbursement and solutions to overcome challenges for the orthopedic surgeon, and to describe and compare the current and projected reimbursement structures for total arthroplasty procedures. Final decisions on reimbursement for total arthroplasty as outlined by the Centers for Medicare & Medicaid Services are reviewed. The impact of these decisions and the effect of the Centers for Medicare & Medicaid Services' payment structure on reimbursement for surgeons and organizations and the effect on patient care are highlighted. [Orthopedics. 2017; 40(2):77-80.].

Health Utility of Early Hemiarthroplasty vs Delayed Total Hip Arthroplasty for Displaced Femoral Neck Fracture in Elderly Patients: A Markov Model.

BACKGROUND: Treatment for femoral neck fracture among patients aged 65 years or older varies, with many surgeons preferring hemiarthroplasty (HA) over total hip arthroplasty (THA). There is evidence that THA may lead to better functional outcomes, although it also carries greater risk of mortality and dislocation rates. METHODS: We created a Markov decision model to examine the expected health utility for older patients with femoral neck fracture treated with early HA (performed within 48 hours) vs delayed THA (performed after 48 hours). Model inputs were derived from the literature. Health utilities were derived from previously fit patients aged more than 60 years. Sensitivity analyses on mortality and dislocation rates were conducted to examine the effect of uncertainty in the model parameters. RESULTS: In the base case, the average cumulative utility over 2 years was 0.895 for HA and 0.994 for THA. In sensitivity analyses, THA was preferred over HA until THA 30-day and 1-year mortality rates were increased to 1.3× the base case rates. THA was preferred over HA until the health utility for HA reached 98% that of THA. THA remained the preferred strategy when increasing the cumulative incidence of dislocation among THA patients from a base case of 4.4% up to 26.1%. CONCLUSION: We found that delayed THA provides greater health utility than early HA for older patients with femoral neck fracture, despite the increased 30-day and 1-year mortality associated with delayed surgery. Future studies should examine the cost-effectiveness of THA for femoral neck fracture.

What Quality Metrics Is My Hospital Being Evaluated on and What Are the Consequences?

Quality, experience, and cost are important indicators of value to patients. However, stakeholders have yet to reach agreement on how to define quality and which measures should be used to assess quality. Measures that have been used to assess quality in health care include structural, process, patient experience, efficiency, and outcomes measures. Payers and other quality rating organizations use a combination of measures to rate or rank hospitals on the quality of care they provide. These ratings can be strictly informational or can be used to steer patients, for contracting between payers and providers, and more recently, for adjustments to reimbursements. Physicians and hospitals have a crucial role to play in the development of quality measures that are used to measure and improve value. Consensus on quality measures will facilitate meaningful comparisons across providers and insights that will enable improvements in the value of care we deliver to our patients.

Is Shared Decision Making for End-of-Life Decisions Associated With Better Outcomes as Compared to Other Forms of Decision Making? A Systematic Literature Review.

Background: Whether shared decision making (SDM) has been evaluated for end-of-life (EOL) decisions as compared to other forms of decision making has not been studied. Purpose: To summarize the evidence on SDM being associated with better outcomes for EOL decision making, as compared to other forms of decision making. Data Sources: PubMed, Web of Science, Cochrane Central Register of Controlled Trials, EMBASE, PsycINFO, and CINAHL databases were searched through April 2014. Study Selection: Studies were selected that evaluated SDM, compared to any other decision making style, for an EOL decision. Data Extraction: Components of SDM tested, comparators to SDM, EOL decision being assessed, and outcomes measured. Data Synthesis: Seven studies met the inclusion criteria (three experimental and four observational studies). Results were analyzed using narrative synthesis. All three experimental studies compared SDM interventions to usual care. The four observational studies compared SDM to doctor-controlled decision making, or reported the correlation between level of SDM and outcomes. Components of SDM specified in each study differed widely, but the component most frequently included was presenting information on the risks/benefits of treatment choices (five of seven studies). The outcome most frequently measured was communication, although with different measurement tools. Other outcomes included decisional conflict, trust, satisfaction, and "quality of dying." Limitations: We could not analyze the strength of evidence for a given outcome due to heterogeneity in the outcomes reported and measurement tools. Conclusions: There is insufficient evidence supporting SDM being associated with improved outcomes for EOL decisions as opposed to other forms of decision making. Future studies should describe which components of SDM are being tested, outline the comparator decision making style, and use validated tools to measure outcomes.

Impact and Cost-Effectiveness of Hypothetical Strategies to Enhance Retention in Care within HIV Treatment Programs in East Africa.

OBJECTIVES: Attrition from care among HIV infected patients can lead to poor clinical outcomes. Our objective was to evaluate hypothetical interventions seeking to improve retention-in-care (RIC) for HIV-infected patients in East Africa, asking whether they could offer favorable value compared to earlier ART initiation. METHODS: We used a micro-simulation model to analyze two RIC focused strategies within an East African HIV treatment program--"risk reduction," defined as intervention(s) that decrease the risk of attrition from care; and "outreach," defined as interventions that find patients and relink them with care. We compared this to earlier ART treatment as a measure of the potential health benefits forgone (e.g., opportunity cost). RESULTS: Reducing attrition by 40% at an average cost of $10 per person remains a less efficient use of resources compared to ensuring full access to ART (cost- effectiveness ratio $1300 vs $3700) for ART eligible patients. An outreach intervention had limited clinical benefit in our simulation. If intervention costs are <$10 per person, however, an intervention able to achieve a 40% (or greater) reduction in attrition may be a cost-effective next implementation option following implementation of earlier ART treatment. CONCLUSIONS: Our results suggest that programs should consider retention focused programs once they have already achieved high degrees of ART coverage among eligible patients. It is important that decision makers understand the epidemiology and associated outcomes of those patients who are classified as lost to follow up in their systems prior to implementation in order to achieve the highest value.

InformedTogether: Usability Evaluation of a Web-Based Decision Aid to Facilitate Shared Advance Care Planning for Severe Chronic Obstructive Pulmonary Disease.

BACKGROUND: Advance care planning may help patients receive treatments that better align with their goals for care. We developed a Web-based decision aid called InformedTogether to facilitate shared advance care planning between chronic obstructive pulmonary disease (COPD) patients and their doctors. OBJECTIVE: Our objective was to assess the usability of the InformedTogether decision aid, including whether users could interact with the decision aid to engage in tasks required for shared decision making, whether users found the decision aid acceptable, and implications for redesign. METHODS: We conducted an observational study with 15 patients and 8 doctors at two ethnically and socioeconomically diverse outpatient clinics. Data included quantitative and qualitative observations of patients and doctors using the decision aid on tablet or laptop computers and data from semistructured interviews. Patients were shown the decision aid by a researcher acting as the doctor. Pulmonary doctors were observed using the decision aid independently and asked to think aloud (ie, verbalize their thoughts). A thematic analysis was implemented to explore key issues related to decision aid usability. RESULTS: Although patients and doctors found InformedTogether acceptable and would recommend that doctors use the decision aid with COPD patients, many patients had difficulty understanding the icon arrays that were used to communicate estimated prognoses and could not articulate the definitions of the two treatment choices-Full Code and Do Not Resuscitate (DNR). Minor usability problems regarding content, links, layout, and consistency were also identified and corresponding recommendations were outlined. In particular, participants suggested including more information about potential changes in quality of life resulting from the alternative advance directives. Some doctor participants thought the decision aid was too long and some thought it may cause nervousness among patients due to the topic area. CONCLUSIONS: A decision aid for shared advance care planning for severe COPD was found acceptable to most COPD patients and their doctors. However, many patient participants did not demonstrate understanding of the treatment options or prognostic estimates. Many participants endorsed the use of the decision aid between doctors and their patients with COPD, although they desired more information about quality of life. The design must optimize comprehensibility, including revising the presentation of statistical information in the icon array, and feasibility of integration into clinical workflow, including shortening the decision aid.

Understanding patients' and doctors' attitudes about shared decision making for advance care planning.

BACKGROUND: Although shared decision making (SDM) is the preferred model of making complex treatment decisions with patients, patients' and doctors' attitudes towards SDM for advance care planning are unknown. OBJECTIVE: We sought to: (i) gain general insights into the current practice of SDM and attitudes about patient involvement, and (ii) gain specific insights into experience with, and attitudes about, SDM for advance care planning. DESIGN: Qualitative analysis of face-to-face semi-structured interviews. SETTING AND PARTICIPANTS: Patients with chronic lung disease and their doctors at a New York City public hospital. RESULTS: Although patients described participation in decision making, many deferred the final decision to their doctors. Doctors indicated a preference for SDM but expressed barriers including perceived lack of patient understanding and lack of patient empowerment. With regard to end-of-life discussions, patients were generally open to having these discussions with their doctors, although their openness sometimes depended on the circumstance (i.e. end-of-life discussions may be more acceptable to patients for whom the chance of dying is high). Doctors reported engaging in end-of-life treatment decisions with their patients, although expressed the need for conversations to take place earlier, in advance of acute illness, and identified a lack of prognostic estimates as one barrier to engaging in this discussion. CONCLUSIONS: Doctors should explore their patients' attitudes regarding end-of-life discussions and preferences for decision-making styles. There is a need for tools such as decision aids which can empower patients to participate in decision making and can support doctors with prognostic estimates pertinent to individual patients.

Impact of interventions targeting unhealthy alcohol use in Kenya on HIV transmission and AIDS-related deaths.

BACKGROUND: HIV remains a major cause of preventable morbidity and mortality in Kenya. The effects of behaviors that accompany unhealthy alcohol consumption are a pervasive risk factor for HIV transmission and progression. Our objective was to estimate the portion of HIV infections attributable to unhealthy alcohol use and to evaluate the impact of hypothetical interventions directed at unhealthy alcohol use on HIV infections and deaths. METHODS: We estimated outcomes over a time horizon of 20 years using a computer simulation of the Kenyan population. This computer simulation integrates a compartmental model of HIV transmission with a mechanistic model of HIV progression that was previously validated in sub-Saharan Africa. Integration of the transmission and progression models allows simultaneous consideration of alcohol's effects on HIV transmission and progression (e.g., lowering antiretroviral adherence may increase transmission risk by elevating viral load, and may simultaneously increase progression by increasing the likelihood of AIDS). The simulation considers important aspects of heterogeneous sexual mixing patterns, including assortativeness of partners by age and activity level, age-discordant relationships, and high activity subgroups. Outcomes included number of new HIV infections, number of AIDS deaths, and infectivity (number of new infections per infected person per year). RESULTS: Our model estimated that the effects of behaviors accompanying unhealthy alcohol consumption are responsible for 13.0% of new HIV infections in Kenya. An alcohol intervention with effectiveness similar to that observed in a published randomized controlled trial of a cognitive-behavioral therapy-based intervention in Kenya (45% reduction in unhealthy alcohol consumption) could prevent nearly half of these infections, reducing their number by 69,858 and reducing AIDS deaths by 17,824 over 20 years. Estimates were sensitive to assumptions with respect to the magnitude of alcohol's underlying effects on condom use, antiretroviral therapy adherence, and sexually transmitted infection prevalence. CONCLUSIONS: A substantial number of new HIV infections in Kenya are attributable to unhealthy alcohol use. An alcohol intervention with the effectiveness observed in a published randomized controlled trial has the potential to reduce infections over 20 years by nearly 5% and avert nearly 18,000 deaths related to HIV.

How do different eligibility guidelines for antiretroviral therapy affect the cost-effectiveness of routine viral load testing in sub-Saharan Africa?

BACKGROUND: Increased eligibility guidelines of antiretroviral therapy (ART) may lead to greater routine viral load monitoring. However, in resource-constrained settings, the additional resources required by greater routine viral load monitoring may impair ability to comply with expanded eligibility guidelines for ART. OBJECTIVE: We use a published validated computer simulation of the HIV epidemic in East African countries (expanded to include transmission as well as disease progression) to evaluate the cost-effectiveness of routine viral load monitoring. METHODS: We explored alternative scenarios regarding cost, frequency, and switching threshold of routine viral load monitoring (including every 6 or every 12 months; and switching thresholds of 1000, or 10 000 copies/ml), as well as alternative scenarios regarding ART initiation (200, 350, 500  cells/µl, and no CD4 cell threshold). For each ART initiation strategy, we sought to identify the viral load monitoring strategy at which the incremental cost-effectiveness ratio (ICER) of more frequent routine viral load testing became more favorable than the ICER of more expansive ART eligibility. Cost inputs were based on data provided by the Academic Model Providing Access to Healthcare (AMPATH), and disease progression inputs were based on prior published work. We used a discount rate of 3%, a time horizon of 20 years, and a payer perspective. RESULTS: Across a wide range of scenarios, and even when considering the beneficial effect of virological monitoring at reducing HIV transmission, earlier ART initiation conferred far greater health benefits for resources spent than routine virological testing, with ICERs of approximately $1000 to $2000 for earlier ART initiation, versus ICERs of approximately $5000 to $25 000 for routine virological monitoring. ICERs of viral load testing were insensitive to the cost of the viral load test, because most of the costs originated from the downstream higher costs of later regimens. ICERs of viral load testing were very sensitive to the relative cost of second-line compared with first-line regimens, assuming favorable value when the costs of these regimens were equal. CONCLUSION: If all HIV patients are not yet treated with ART starting at 500  cells/µl and costs of second regimens remain substantially more expensive than first-line regimens, resources would buy more population health if they are spent on earlier ART rather than being spent on routine virological testing.

Could early antiretroviral therapy entail more risks than benefits in sub-Saharan African HIV-infected adults? A model-based analysis.

BACKGROUND: Initiation of antiretroviral therapy (ART) in all HIV-infected adults, regardless of CD4⁺ T-cell count, is a proposed strategy for reducing HIV transmission. We investigated the conditions under which starting ART early could entail more risks than benefits for patients with high CD4⁺ T-cell counts. METHODS: We used a simulation model to compare ART initiation upon entry to care ('immediate ART') to initiation at CD4⁺ T-cell count ≤ 350 cells/µl ('WHO 2010 ART') in African adults with CD4⁺ T-cell counts >500 cells/µl. We varied inputs to determine the combination of parameters (population characteristics, conditions of care, treatment outcomes) that would result in higher 15-year mortality with immediate ART. RESULTS: The 15-year mortality was 56.7% for WHO 2010 ART and 51.8% for immediate ART. In one-way sensitivity analysis, lower 15-year mortality was consistently achieved with immediate ART unless the rate of fatal ART toxicity was >1.0/100 person-years, the rate of withdrawal from care was >1.2-fold higher or the rate of ART failure due to poor adherence was >4.3-fold higher on immediate than on WHO 2010 ART. In multi-way sensitivity analysis, immediate ART led to higher mortality when moderate rates of fatal ART toxicity (0.25/100 person-years) were combined with rates of withdrawal from care >1.1-fold higher and rates of treatment failure >2.1-fold higher on immediate than on WHO 2010 ART. CONCLUSIONS: In sub-Saharan Africa, ART initiation at entry into care would improve long-term survival of patients with high CD4⁺ T-cell counts, unless it is associated with increased withdrawal from care and decreased adherence. In early ART trials, a focus on retention and adherence will be crucial.

Identifying design considerations for a shared decision aid for use at the point of outpatient clinical care: An ethnographic study at an inner city clinic.

BACKGROUND AND OBJECTIVE: Computerized decision aids could facilitate shared decision-making at the point of outpatient clinical care. The objective of this study was to investigate whether a computerized shared decision aid would be feasible to implement in an inner-city clinic by evaluating the current practices in shared decision-making, clinicians' use of computers, patient and clinicians' attitudes and beliefs toward computerized decision aids, and the influence of time on shared decision-making. METHODS: Qualitative data analysis of observations and semi-structured interviews with patients and clinicians at an inner-city outpatient clinic. FINDINGS: The findings provided an exploratory look at the prevalence of shared decision-making and attitudes about health information technology and decision aids. A prominent barrier to clinicians engaging in shared decision-making was a lack of perceived patient understanding of medical information. Some patients preferred their clinicians make recommendations for them rather than engage in formal shared decision-making. Health information technology was an integral part of the clinic visit and welcomed by most clinicians and patients. Some patients expressed the desire to engage with health information technology such as viewing their medical information on the computer screen with their clinicians. All participants were receptive to the idea of a decision aid integrated within the clinic visit although some clinicians were concerned about the accuracy of prognostic estimates for complex medical problems. IMPLICATIONS: We identified several important considerations for the design and implementation of a computerized decision aid including opportunities to: bridge clinician-patient communication about medical information while taking into account individual patients' decision-making preferences, complement expert clinician judgment with prognostic estimates, take advantage of patient waiting times, and make tasks involved during the clinic visit more efficient. These findings should be incorporated into the design and implementation of a computerized shared decision aid at an inner-city hospital.