Incorporating Patient-Reported Outcomes Into Health Care To Engage Patients And Enhance Care

Lavallee, Danielle C.; Chenok, Kate Eresian; Love, Rebecca; Petersen, Carolyn; Holve, Erin; Segal, Courtney; Franklin, Patricia D.

doi:10.1377/hlthaff.2015.1362

Cited by 433 publications

(345 citation statements)

References 31 publications

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“…There is an increased emphasis regarding the collection of patient-based outcomes to facilitate patientcentered care and quantify change in HRQL status from the patient's perspective. 1,2 HRQL is a broad, multidimensional concept that refers to the physical, psychological, spiritual, economic, and social domains of health that are affected by an individual's experiences, expectations, and perceptions. 2 Clinicians often measure HRQL through the utilization of a variety of patient-reported outcomes (PROs), which can be categorized as generic, region/ disease specific, or dimension specific.…”

Section: Contextmentioning

confidence: 99%

“…1,2 HRQL is a broad, multidimensional concept that refers to the physical, psychological, spiritual, economic, and social domains of health that are affected by an individual's experiences, expectations, and perceptions. 2 Clinicians often measure HRQL through the utilization of a variety of patient-reported outcomes (PROs), which can be categorized as generic, region/ disease specific, or dimension specific. Each of these instruments is constructed to measure different domains of HRQL and the effects of the health condition and interventions on these domains from the patient's perspective.…”

Section: Contextmentioning

confidence: 99%

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Examination of Response Shift After Rehabilitation for Orthopedic Conditions: A Systematic Review

Powden¹,

Hoch²,

Hoch³

2018

Journal of Sport Rehabilitation

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Context: There is an increased emphasis on the need to capture and incorporate self-reported function to make clinical decisions when providing patient-centered care. Response shift (RS), or a change in an individual's self-evaluation of a construct, may affect the accurate assessment of change in self-reported function throughout the course of rehabilitation. A systematic review of this phenomenon may provide valuable information regarding the accuracy of self-reported function. Objectives: To systematically locate and synthesize the existing evidence regarding RS during care for various orthopedic conditions. Evidence Acquisition: Electronic databases (PubMed, MEDLINE, CINAHL, SPORTDiscus, and Psychology & Behavioral Sciences Collection) were searched from inception to November 2016. Two investigators independently assessed methodological quality using the modified Downs and Black Quality Index. The quality of evidence was assessed using the Strength-of-Recommendation Taxonomy. The magnitude of RS was examined through effect sizes. Evidence Synthesis: Nine studies were included (7 high quality and 2 low quality) with a median Downs and Black Quality Index score of 81.25% (range = 56.25%-93.75%). Overall, the studies demonstrated weak to strong effect sizes (range = −1.58-0.33), indicating the potential for RS. Of the 36 point estimates calculated, 22 (61.11%), 2 (5.56%), and 12 (33.33%) were associated with weak, moderate negative, and strong negative effect sizes, respectively. Conclusions: There is grade B evidence that a weak RS, in which individuals initially underestimate their disability, may occur in people undergoing rehabilitation for an orthopedic condition. It is important for clinicians to be aware of the potential shift in their patients' internal standards, as it can affect the evaluation of health-related quality of life changes during the care of orthopedic conditions. A shift in the internal standards of the patient can lead to subsequent misclassification of health-related quality of life changes that can adversely affect clinical decision making.

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Section: Contextmentioning

confidence: 99%

Section: Contextmentioning

confidence: 99%

Examination of Response Shift After Rehabilitation for Orthopedic Conditions: A Systematic Review

Powden¹,

Hoch²,

Hoch³

2018

Journal of Sport Rehabilitation

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“…Informed consent ethically and legally allows the patient the right to SDM prior to any form of treatment [9]. Incorporating patient goals into healthcare decisions has been shown to increase patient satisfaction, compliance, and outcomes [10][11][12]. These effects, in turn, drive healthcare providers to be both more receptive to patient preferences and values and more able to practice SDM [11].…”

Section: Introductionmentioning

confidence: 99%

Current concepts of shared decision making in orthopedic surgery

Klifto

Slover

2017

Curr Rev Musculoskelet Med

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Purpose of review The Shared Decision Making (SDM) model, a collaborative decision making process between the physician and patient to make an informed clinical decision that enhances the chance of treatment success as defined by each patient's preferences and values, has become a new and promising tool in the healthcare process; however, minimal data exists on its application in the orthopedic surgical specialty. Increasing evidence has demonstrated that this once novel idea can be implemented successfully in the orthopedic setting to improve patient outcomes. Recent findings SDM can be applied without significant increases in the office length. Patients report that a physician that takes the time to listen to them is among the most important factors in their care. When time was focused on the SDM process, there was a direct correlation between the time spent with a patient and patient satisfaction. Patients exposed to a decision aid prior to surgery gained a greater knowledge from baseline to make a higher quality decision that was consistent with their values. Involving family members preoperatively can help all patients adhere to postoperative regimens. Exposing patients to a decision aid can reduce expensive elective surgeries, in favor of non-operative management. Incorporating patient goals into the decision-making process has increased satisfaction, compliance, and outcomes.Summary SDM is a two-way exchange of information that attempts to correct the inequality of power between the patient and physician. Decision-aids are helpful tools that facilitate the decision-making process. Treatment decisions are consistent with patient preferences and values when there may be no "best" therapy. A good patient-physician relationship is essential during the process to reduce decisional conflict and increase overall patient outcomes.

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“…A large fraction of the papers on the topic of PGHD and its application to various aspects of healthcare that we encountered in our literature search could be categorized as reviews or opinion papers [10][11][12][13][14][15]. In these articles, the definitions of PGHD that were used were slightly different, but many were based on a broad definition of PGHD, which included any observation, result, device finding, confirmation, change correction, or addition of data to a patient's record that was created, recorded, gathered, or inferred by or from patients or their designees [10,12].…”

Section: Patient-generated Health Datamentioning

confidence: 99%

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

Lai¹,

Hsueh²,

Choi³

et al. 2017

Yearb Med Inform

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SummaryObjectives: Consumer Health Informatics (CHI) and the use of Patient-Generated Health Data (PGHD) are rapidly growing focus areas in healthcare. The objective of this paper is to briefly review the literature that has been published over the past few years and to provide a sense of where the field is going. Methods: We searched PubMed and the ACM Digital Library for articles published between 2014 and 2016 on the topics of CHI and PGHD. The results of the search were screened for relevance and categorized into a set of common themes. We discuss the major topics covered in these articles. Results: We retrieved 65 articles from our PubMed query and 32 articles from our ACM Digital Library query. After a review of titles, we were left with 47 articles to conduct our full article survey of the activities in CHI and PGHD. We have summarized these articles and placed them into major categories of activity. Within the domain of consumer health informatics, articles focused on mobile health and patient-generated health data comprise the majority of the articles published in recent years. Conclusions: Current evidence indicates that technological advancements and the widespread availability of affordable consumer-grade devices are fueling research into using PGHD for better care. As we observe a growing number of (pilot) developments using various mobile health technologies to collect PGHD, major gaps still exist in how to use the data by both patients and providers. Further research is needed to understand the impact of PGHD on clinical outcomes. KeywordsConsumer health information/methods; patient-generated health data; mHealth; user-computer interface; consumer participation in delivery of health careYearb Med Inform 2017:152-9 http://dx

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Incorporating Patient-Reported Outcomes Into Health Care To Engage Patients And Enhance Care

Cited by 433 publications

References 31 publications

Examination of Response Shift After Rehabilitation for Orthopedic Conditions: A Systematic Review

Examination of Response Shift After Rehabilitation for Orthopedic Conditions: A Systematic Review

Current concepts of shared decision making in orthopedic surgery

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

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