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The effect of EHR-integrated patient-reported outcomes on satisfaction with chronic pain care.

ABSTRACT: Given its complexity, chronic noncancer pain presents an opportunity to use health information technology (IT) to improve care experiences. The objective of this study was to assess whether integrating patient-reported outcomes (PROs) data in an electronic health record (EHR) affects provider and patient satisfaction with chronic noncancer pain care.We conducted a pragmatic cluster randomized trial involving 4 family medicine clinics.We enrolled primary care providers (PCPs) and their patients with chronic noncancer pain. In the first 7 months (education phase), PCPs in intervention practices received education on how to use PROs for pain care. In the second 7 months (PRO phase), patients in intervention practices reported pain-related outcomes on arrival at their visits. PROs were immediately reported to PCPs through the EHR. Control group PCPs provided usual care. We compared intervention and control practices in terms of provider and patient satisfaction with care.During the education phase, patients' mean ratings of their visits did not differ between control and intervention (9.33 vs 9.08; P = .20). During the PRO phase, patients' mean ratings did not differ between control and intervention (9.28 vs 9.01; P = .20). Similarly, there were no differences between the intervention and control groups in terms of provider satisfaction.Delivering EHR-integrated PROs did not consistently improve patient or provider satisfaction. Positively, we found no evidence that the PRO tools negatively affected satisfaction. Future studies and technological innovations are needed to translate point-of-care health IT tools into improvements in patient and provider experiences.

SUBMITTER: Harle CA

PROVIDER: S-EPMC5460672 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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The effect of EHR-integrated patient-reported outcomes on satisfaction with chronic pain care.

Harle Christopher A CA Marlow Nicole M NM Schmidt Siegfried O F SO Shuster Jonathan J JJ Listhaus Alyson A Fillingim Roger B RB Hurley Robert W RW

The American journal of managed care 20161201 12

<h4>Objectives</h4>Given its complexity, chronic noncancer pain presents an opportunity to use health information technology (IT) to improve care experiences. The objective of this study was to assess whether integrating patient-reported outcomes (PROs) data in an electronic health record (EHR) affects provider and patient satisfaction with chronic noncancer pain care.<h4>Study design</h4>We conducted a pragmatic cluster randomized trial involving 4 family medicine clinics.<h4>Methods</h4>We enr ...[more]

PMID: 27982672

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Project description:IntroductionChronic pain is highly prevalent, and the ability to routinely measure patients' pain and treatment response using validated patient-reported outcome (PRO) assessments is important to clinical care. Despite this recognition, systematic use in everyday clinical care is rare.AimsThe aims of this study were to (1) describe infrastructure designed to automate PRO data collection, (2) compare study-enhanced PRO completion rates to those in clinical care, and (3) evaluate patient response rates by method of PRO administration and sociodemographic and/or clinical characteristics.SettingThe Pain Program for Active Coping and Training (PPACT) is a pragmatic clinical trial conducted within three regions of the Kaiser Permanente health care system.Program descriptionPPACT evaluates the effect of integrative primary care-based pain management services on outcomes for chronic pain patients on long-term opioid treatment. We implemented a tiered process for quarterly assessment of PROs to supplement clinical collection and ensure adequate trial data using three methods: web-based personal health records (PHR), automated interactive voice response (IVR) calls, and live outreach.Program evaluationAmong a subset of PPACT participants examined (n = 632), the tiered study-enhanced PRO completion rates were higher than in clinical care: 96% completed ≥ 1 study-administered PRO with mean of 3.46 (SD = 0.85) vs. 74% completed in clinical care with a mean of 2.43 (SD = 2.08). Among all PPACT participants at 3 months (n = 831), PRO completion was 86% and analyses of response by key characteristics found only that participant age predicted an increased likelihood of responding to PHR and IVR outreach.DiscussionAdherence to pain-related PRO data collection using our enhanced tiered approach was high. No demographic or clinical identifiers other than age were associated with differential response by modality. Successful ancillary support should employ multimodal electronic health record functionalities for PRO administration. Using automated modalities is feasible and may facilitate better sustainability for regular PRO administration within health care systems. Clinical Trials Registration Number: NCT02113592.

Project description:BackgroundIn clinical practice, the bodily distribution of chronic pain is often used in conjunction with other signs and symptoms to support a diagnosis or treatment plan. For example, the diagnosis of fibromyalgia involves tallying the areas of pain that a patient reports using a drawn body map. It remains unclear whether patterns of pain distribution independently inform aspects of the pain experience and influence patient outcomes. The objective of the current study was to evaluate the clinical relevance of patterns of pain distribution using an algorithmic approach agnostic to diagnosis or patient-reported facets of the pain experience.Methods and findingsA large cohort of patients (N = 21,658) completed pain body maps and a multi-dimensional pain assessment. Using hierarchical clustering of patients by body map selection alone, nine distinct subgroups emerged with different patterns of body region selection. Clinician review of cluster body maps recapitulated some clinically-relevant patterns of pain distribution, such as low back pain with radiation below the knee and widespread pain, as well as some unique patterns. Demographic and medical characteristics, pain intensity, pain impact, and neuropathic pain quality all varied significantly across cluster subgroups. Multivariate modeling demonstrated that cluster membership independently predicted pain intensity and neuropathic pain quality. In a subset of patients who completed 3-month follow-up questionnaires (N = 7,138), cluster membership independently predicted the likelihood of improvement in pain, physical function, and a positive overall impression of change related to multidisciplinary pain care.ConclusionsThis study reports a novel method of grouping patients by pain distribution using an algorithmic approach. Pain distribution subgroup was significantly associated with differences in pain intensity, impact, and clinically relevant outcomes. In the future, algorithmic clustering by pain distribution may be an important facet in chronic pain biosignatures developed for the personalization of pain management.

Dataset Information

The effect of EHR-integrated patient-reported outcomes on satisfaction with chronic pain care.

Publications

The effect of EHR-integrated patient-reported outcomes on satisfaction with chronic pain care.

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