Results Summary
PCORI funded the Pilot Projects to explore how to conduct and use patient-centered outcomes research in ways that can better serve patients and the healthcare community. Learn more.
Background
During office visits, doctors and patients often make decisions about medical treatment. They also make decisions about lifestyle changes that patients need to make, such as in the areas of diet and exercise. It’s important that the patient remembers what they decided so that they are able to do what is needed at home. Doctors have some communication techniques that may help patients remember important decisions better.
Project Purpose
The research team wanted to see whether a patient’s gender, race, age, or education level affected how well they remembered a decision at an office visit. The research team also wanted to know whether certain communication techniques that doctors use made a difference in how well patients remembered a decision.
Methods
The research team audio-recorded 189 doctor’s visits with 101 patients who were recently diagnosed with heart disease or chronic kidney disease and had a big decision to make about treatment. The visits were with 11 doctors who treat heart disease and 8 doctors who treat kidney disease. The average age of patients was 57. More than half were women (54 percent), 72 percent were white, 20 percent were black, and 8 percent were another race.
The researchers interviewed the patients by telephone one week after their visit and asked them what they remembered. The researchers also asked patients about their satisfaction with the visit, their intention to follow the doctor’s recommendations, and their ability to manage their own care.
The researchers compared what the patients remembered about the decisions made at their visit with the recording of the visit. They looked at how well the patients remembered what was decided.
The researchers also counted how often doctors used specific communication techniques with patients during the visits. For example, doctors might use teach back, a method in which doctors ask patients to explain the decision in their own words.
The researchers ran statistical tests to see whether anything about the patients or the ways doctors communicated predicted how well patients would remember their visit.
Findings
Most patients remembered what they decided in the office visit.
None of patient age, gender, and race/ethnicity, nor doctor specialty, seemed to have any effect on whether patients remembered decisions after doctors’ appointments.
Patients who had higher levels of education remembered more about their visits. People with a college degree remembered 65 percent of decisions. People with less than a high school degree remembered 38 percent of decisions. For patients with lower education, the more things they had to remember from a visit, the less likely they were to remember very many of them.
All patients were less likely to remember decisions when doctors spoke more than the patients did during the visit. Doctors did not often use the different communication techniques with patients for which the researchers were looking.
Limitations
The number of people in the study was small. Results might have been different if more people had participated. Each researcher used their own judgment to determine what decisions were made in each doctor’s visit that they listened to and whether the doctor used specific communication techniques. Results might be different if other researchers had made these determinations.
Conclusions
To improve the patient’s ability to remember decisions, doctors should encourage patients to talk more. Doctors and patients might also limit the number of decisions being made during an office visit. Doctors may also want to keep in mind how much education a patient has, as this may link with their ability to recall decisions.
Sharing the Results
The researchers shared the results at conferences and lectures. Attendees included doctors, other healthcare professionals, patients, and researchers. They also wrote articles for journals.
Professional Abstract
PCORI funded the Pilot Projects to explore how to conduct and use patient-centered outcomes research in ways that can better serve patients and the healthcare community. Learn more.
Background
Few studies of patient recall have included information about specific provider behaviors believed to be associated with better patient recall after the provider-patient dialogue, such as “teach back,” open questions, agenda setting, patient participation, and elements of shared decision making. To address this gap, researchers wanted to test the feasibility of using observational and interview methods to assess characteristics of provider-patient communication in outpatient care. They developed a detailed characterization of decision processes (“resolutions”), tested the reliability and validity of these resolutions, and linked them to patient understanding and recall.
Project Purpose
The objective of Methods for Evaluating Decisions and Information in Clinical Communication (Project MEDICC) was to assess the frequency of provider communication behaviors hypothesized to be associated with better patient recall and components of shared decision making. Researchers examined the relationship between features of clinical interactions and patient recall, satisfaction, and activation. They hypothesized that routine decision-making dialogue (e.g., decisions about medical interventions such a stopping, starting, or changing medications, and behavioral recommendations such as salt restriction or exercise) can be reliably identified and classified; that decision making is rarely shared and often poorly recalled; and that when it is shared, patients are more engaged, more adherent, and more satisfied.
Study Design
Observational study
Participants, Interventions, Settings, and Outcomes
Participants were 11 cardiologists, eight nephrologists, and 101 patients. Patients’ mean age was 57; 54% were women; 72% were white, 20% were black, and 8% were “other.” Providers were a convenience sample from participating clinics. Patients were consecutively sampled from those newly referred with a diagnosis of chronic kidney disease or heart disease, or those who were experiencing an exacerbation or imminent significant clinical decision. Exclusion criteria were limited English or cognitive impairment.
The setting was two outpatient cardiology clinics and one nephrology clinic affiliated with academic medical centers.
Outcome measures included patient recall of treatment decisions and information received (operationalized as three levels of quality), satisfaction with interaction and decision, intention to adhere to recommendations, patient scores on the Patient Activation Measure, and patient scores on subscales of the Primary Care Assessment Survey.
Data Sources
Data sources included audio-recorded and transcribed routine clinical encounters and follow-up interviews with patients.
Data Analysis
Clinical encounters were audio recorded, transcribed by an outside firm, and corrected by project staff. Staff conducted patient follow-up surveys by telephone approximately one week later. This process was repeated at subsequent visits occurring during the study period. Trained research assistants coded the transcripts by using versions of the Generalized Medical Interaction Analysis System, Comprehensive Analysis of the Structure of Encounters System, and OPTIONS system for coding elements of shared decision making.
Researchers generated descriptive data on the frequency of items coded for recall, the quality of patient recall, the prevalence of communicative behaviors hypothesized to be associated with better recall, and OPTIONS codes. The research team treated medical and behavioral resolutions separately, as understanding may require different kinds of background knowledge and place different cognitive demands on patients. As the provider behaviors were uncommon, researchers could not test the association with recall. They tested the bivariate association of recall quality with various independent variables. Researchers constructed multivariate ordered logit models to predict patient recall using patient education, number of items to be recalled in a visit, and the ratio of provider to total (patient plus provider) utterances in resolutions within the visit (“verbal dominance”). They tested patient age, gender, race/ethnicity, and provider specialty as covariates and constructed separate models for behavioral and medical resolutions.
Quality of Data and Analysis: Missing data were assumed to be random. Researchers tested intuitively plausible covariates in the models and intuitively plausible interactions, and they retained parsimonious models.
Findings
Recall was strongly associated with patients’ level of formal education (p<.0001). About 38% of resolutions were recalled freely and accurately by people with less than a high school diploma whereas 65% were recalled freely and accurately by people with a college degree. This difference remained significant when selecting only medical or only behavioral resolutions. Provider verbal dominance was significantly associated with poorer recall in medical processes, and in all processes, although not in behavioral processes.
Patient age, gender, race/ethnicity, and the specialty (nephrology vs. cardiology) were not associated with recall quality. In a multivariate model including the interaction between the number of resolutions in a visit and patient education (< some college), researchers found that the interaction term, verbal dominance, and the resolution count per visit were all significant predictors of poorer recall quality, whereas the effect of patient education was no longer significant. More items to be recalled was more strongly associated with worse recall for medical resolutions for patients with less formal education, but less strongly associated for behavioral resolutions. Verbal dominance remained a significant predictor of poorer recall. Scores on the Patient Activation Measure were positively and significantly associated with recall quality for behavioral decisions but not for medical decisions.
Limitations
This is a fairly small study limited to three sites and a convenience sample of providers.
Conclusions
Patient recall can be enhanced by limiting the number of decisions and recommendations in an encounter and by encouraging patients to participate more actively in decision-making dialogue. Recall of medical resolutions seems to be more sensitive to patient engagement and participation than is recall of behavioral resolutions. However, providers rarely engage in behaviors to encourage patient participation. These findings may support the development of evidence-based interventions to improve interaction quality, shared decision making, and ultimately patients’ health outcomes.
Future Research
Future work will apply these methods to more specific research questions including the relationship between diagnosis-related interaction and risk of diagnostic error; interactions in primary care management of chronic pain; and primary care of older patients.
More to Explore...
Dissemination Activities
Through limited competition, PCORI awarded 25 of the 50 Pilot Projects up to $50,000 to support dissemination and implementation of their activities and findings through the PCORI Pilot Project Learning Network (PPPLN) funding. The deliverables listed below are a result of convenings and conferences supported by this funding, whose efforts align with the PCORI strategic goal of disseminating information and encouraging adoption of PCORI-funded research results.
Period: September 2015 to December 2015
Budget: $49,993
Presentations
"Lack of an association between patient recall of treatment decisions, and patient activation and self-report of communication quality" and "Communicative processes in medical decision making and patient recall in specialty care: physician centered communication predominates" by M. Barton Laws at International Conference on Communication in Healthcare (ICCH) Conference on October 25th-28th, 2015 in New Orleans
"'The Talking Cure': A special event for patients and heath care providers on making clinical communication more effective"
Brown University in 2016