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Topics
- Ambulatory Care and Surgery (1)
- Asthma (1)
- Behavioral Health (2)
- Blood Pressure (3)
- Cardiovascular Conditions (3)
- Care Coordination (2)
- Caregiving (1)
- Care Management (3)
- Children/Adolescents (4)
- (-) Chronic Conditions (30)
- Clinical Decision Support (CDS) (1)
- Clinician-Patient Communication (1)
- Communication (1)
- Community-Based Practice (1)
- Data (2)
- Decision Making (1)
- Depression (3)
- Diabetes (10)
- Diagnostic Safety and Quality (2)
- Education: Patient and Caregiver (1)
- Elderly (2)
- (-) Electronic Health Records (EHRs) (30)
- Healthcare Delivery (3)
- Health Information Exchange (HIE) (1)
- Health Information Technology (HIT) (27)
- Heart Disease and Health (2)
- Kidney Disease and Health (2)
- Medicaid (1)
- Medication (1)
- Obesity (1)
- Obesity: Weight Management (1)
- Outcomes (1)
- Pain (1)
- Patient and Family Engagement (2)
- Patient Experience (1)
- Patient Safety (1)
- Patient Self-Management (1)
- Primary Care (5)
- Public Health (1)
- Quality Improvement (1)
- Quality of Care (2)
- Respiratory Conditions (1)
- Social Determinants of Health (1)
- Vulnerable Populations (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 25 of 30 Research Studies DisplayedMehta S, Lyles CR, Rubinsky AD
Social determinants of health documentation in structured and unstructured clinical data of patients with diabetes: comparative analysis.
It is not clear how accurately Electronic health records (HER) data reflect patients' lived experience of social determinants of health (SDOH). The process of manually reviewing clinical notes to retrieve SDOH information is not feasible. The purpose of this study was to apply two tools, PatientExploreR and Electronic Medical Record Search Engine (EMERSE), to identify SDOH mappings for structured and unstructured patient data. The researchers included 4,283 adult patients receiving primary care for diabetes at UCSF. The study results revealed that SDOH may be more significant in the lives of patients with diabetes than is evident from structured data recorded on EHRs. When researchers applied EMERSE NLP rules, additional information was uncovered from patient clinical notes on problems related to social connections isolation, employment, financial insecurity, housing insecurity, food insecurity, education, and stress.
AHRQ-funded; HS026383.
Citation: Mehta S, Lyles CR, Rubinsky AD .
Social determinants of health documentation in structured and unstructured clinical data of patients with diabetes: comparative analysis.
JMIR Med Inform 2023 Aug 22; 11:e46159. doi: 10.2196/46159..
Keywords: Social Determinants of Health, Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Fuery MA, Kadhim B, Samsky MD
Electronic health record embedded strategies for improving care of patients with heart failure.
This article reviews recent findings from randomized clinical trials examining the impact of electronic health record (HER) alerts (called nudges) on quality of care for heart failure patients. These clinical trials demonstrated that some EHR alerts can improve care for heart failure patients. The trials described utilized default options, involved clinicians in the alert design process, provided actionable recommendations, and aimed to minimize disruptions to typical workflow.
AHRQ-funded; HS027626.
Citation: Fuery MA, Kadhim B, Samsky MD .
Electronic health record embedded strategies for improving care of patients with heart failure.
Curr Heart Fail Rep 2023 Aug; 20(4):280-86. doi: 10.1007/s11897-023-00614-0..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Heart Disease and Health, Cardiovascular Conditions, Chronic Conditions
Narindrarangkura P, Alafaireet PE, Khan U
Predicting suicide attempts among people with diabetes using a large multicenter electronic health records dataset.
This study’s goal was to determine the risk factors for suicidal behaviors of people with diabetes as they have a higher risk than the general population. The authors investigated risk factors and predicted suicide attempts in people with diabetes using the Least Absolute Shrinkage and Selection Operator (LASSO) regression. They used data from Cerner Real-World Data™ and included over 3 million diabetes patients in the study. They analyzed gender-, diabetes-type, and depression-specific LASSO regression models. The study included 7764 subjects diagnosed with suicide attempts with an average age of 45. They found risk factors for suicide attempts in diabetes patients, such as being an American Indian or Alaska Native, atypical agents, benzodiazepines, and antihistamines. Amyotrophy had a negative coefficient for suicide attempts with males with diabetes but had a positive coefficient for females. Using MAOI had a negative coefficient for suicide attempts in T1DM patients. Patients less than 20 years of age had a positive coefficient for suicide in depressed and non-depressed patients with diabetes.
AHRQ-funded; HS028032.
Citation: Narindrarangkura P, Alafaireet PE, Khan U .
Predicting suicide attempts among people with diabetes using a large multicenter electronic health records dataset.
Int J Psychiatry Med 2023 Jul; 58(4):302-24. doi: 10.1177/00912174231162477..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Behavioral Health, Diabetes, Chronic Conditions
Norton JM, Ip A, Ruggiano N
AHRQ Author: Camara DS, Hsiao CJ, Bierman AS
Assessing progress toward the vision of a comprehensive, shared electronic care plan: scoping review.
People with multiple chronic conditions often receive care from a broad array of clinicians across multiple health care settings, making it difficult to share care plans between those facilities and providers. One method for possibly improving care for those individuals is through the development and use of comprehensive, shared, electronic care (e-care) plans. The purpose of the study was to review existing e-care plans and related initiatives that could be utilized to develop a comprehensive, shared e-care plan, and facilitate the National Institutes of Health and Agency for Healthcare Research and Quality joint initiative’s creation of e-care planning tools for people with multiple chronic conditions. The researchers conducted a review of literature from 2015-2020, as well as interviews of expert informants to identify information missing from the literature search. The study identified 7 different interventions for e-care plans and 3 different projects for health care data standards, all of which included elements which could be utilized to further the goals of developing a comprehensive, shared e-care plan. The study concluded that while none of the existing interventions met all the optimal e-care plan criteria for people with multiple chronic conditions, each plan included the infrastructure necessary to progress toward that goal. The researchers reported that gaps must first be addressed, but that a comprehensive, shared e-care plan can improve care coordination across multiple care settings and clinicians.
AHRQ-authored.
Citation: Norton JM, Ip A, Ruggiano N .
Assessing progress toward the vision of a comprehensive, shared electronic care plan: scoping review.
J Med Internet Res 2022 Jun 10;24(6):e36569. doi: 10.2196/36569..
Keywords: Chronic Conditions, Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Health Information Exchange (HIE)
Fuji KT, Abbott AA, Galt KA
A mixed-methods evaluation of standalone personal health record use by patients with type 2 diabetes.
The purpose of this study was to compare use of a standalone personal health records (PHRs) by patients with Type 2 diabetes to usual care through assessment of self-care behaviors, and short-term impact on social cognitive outcomes and hemoglobin A1c (HbA1c). Five themes emerged from the qualitative analysis describing participants' experiences with the PHR and identifying reasons for lack of engagement. Study findings revealed low PHR uptake and minimal impact on study outcomes, including lack of communication and information-sharing between patients and providers.
AHRQ-funded; HS018625.
Citation: Fuji KT, Abbott AA, Galt KA .
A mixed-methods evaluation of standalone personal health record use by patients with type 2 diabetes.
Perspect Health Inf Manag 2021 Fall;18(4):1e..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Patient Self-Management, Chronic Conditions, Patient and Family Engagement
Joseph CLM, Alexander GL, Lu M
Pilot study of a brief provider and EMR-based intervention for overweight teens with asthma.
The authors piloted an electronic medical record-based tailored discussion guide (TDG) and a brief provider training to address weight management in overweight teens with asthma. They observed modest improvements in patient-reported asthma outcomes and health behaviors. They found strong evidence that the TDG supports provider discussion of weight and asthma to create a more patient-centered conversation from the perspective of participating teens. They recommended addressing challenges to recruitment and clinic adaptation prior to advancing to a full-scale trial.
AHRQ-funded; HS022417.
Citation: Joseph CLM, Alexander GL, Lu M .
Pilot study of a brief provider and EMR-based intervention for overweight teens with asthma.
Pilot Feasibility Stud 2021 Aug 30;7(1):167. doi: 10.1186/s40814-021-00848-6..
Keywords: Children/Adolescents, Obesity: Weight Management, Obesity, Asthma, Chronic Conditions, Respiratory Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Cemballi AG, Karter AJ, Schillinger D
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study.
This longitudinal study looked at trends in secure messaging (SM) use in health care system patient portals using a diverse cohort of diabetes patients enrolled in the ECLIPPSE study from 2006 to 2015. The authors found a 10-fold increase in overall messaging volume during that time period. A majority of patients were using SM by 2015, including those with lower income or with self-reported limited health literacy. At the beginning of the survey period more physicians than nurses were using SM, but that changed over time as well.
AHRQ-funded; HS026383.
Citation: Cemballi AG, Karter AJ, Schillinger D .
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study.
J Am Med Inform Assoc 2021 Jun 12;28(6):1252-58. doi: 10.1093/jamia/ocaa281..
Keywords: Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Bobo WV, Ryu E, Petterson TM
Bi-directional association between depression and HF: an electronic health records-based cohort study.
This study examined whether heart failure (HF) patients were more likely to be diagnosed with depression, or patients with depression were more likely to be diagnosed with HF. This retrospective cohort study utilized electronic health records (EHRs) from a large healthcare system in 2006 for adults who received primary care services. The EHR identified 10,649 people with depression, and 5,911 people with HF between 2006 to 2018. In the depression cohort there were 2,024 newly diagnosed occurrences of HF, and 944 occurrences of newly diagnosed depression in the HF cohort over 4-6 years of follow-up. There was a significantly higher risk of developing HF in the depression cohort than vice versa.
AHRQ-funded; HS023077.
Citation: Bobo WV, Ryu E, Petterson TM .
Bi-directional association between depression and HF: an electronic health records-based cohort study.
J Comorb 2020 Jan-Dec;10:2235042x20984059. doi: 10.1177/2235042x20984059..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Depression, Electronic Health Records (EHRs), Health Information Technology (HIT), Chronic Conditions
Desai AD, Wang G, Wignall J
User-centered design of a longitudinal care plan for children with medical complexity.
This study’s goal was to determine content priorities and design preferences for a longitudinal care plan (LCP) among caregivers and healthcare providers who care for children with complex medical conditions (CMC) in acute care settings. Thirty iterative one-on-one design sessions with 10 caregivers and 20 providers were conducted. There was high within-group variability in content preferences among caregivers compared to provider groups. The authors identified 6 design preferences: a familiar yet customizable layout, a problem-based organization schema, linked content between sections, a table layout for most sections, a balance between unstructured and structured data fields, and use of family-centered terminology.
AHRQ-funded; HS024299.
Citation: Desai AD, Wang G, Wignall J .
User-centered design of a longitudinal care plan for children with medical complexity.
J Am Med Inform Assoc 2020 Dec 9;27(12):1860-70. doi: 10.1093/jamia/ocaa193..
Keywords: Children/Adolescents, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Care Coordination, Caregiving
Koopman RJ, Canfield SM, Belden JL
Home blood pressure data visualization for the management of hypertension: designing for patient and physician information needs.
This study examined whether using home blood pressure visualization tools helps management of hypertension for both patients and physicians. A multidisciplinary team used iterative user-centered design to create a blood pressure visualization EHR prototype that included patient-generated blood pressure data. The study included an attitude and behavior survey and 10 focus groups with 16 patients and 24 physicians. Most patients measured their blood pressure at home, but only half shared data with their physician. Data visualization helped patients and physicians have a fuller understanding of the blood pressure “story” and helped with patient-physician interactions to better control hypertension.
AHRQ-funded; HS023328.
Citation: Koopman RJ, Canfield SM, Belden JL .
Home blood pressure data visualization for the management of hypertension: designing for patient and physician information needs.
BMC Med Inform Decis Mak 2020 Aug 18;20(1):195. doi: 10.1186/s12911-020-01194-y..
Keywords: Blood Pressure, Electronic Health Records (EHRs), Health Information Technology (HIT), Chronic Conditions, Cardiovascular Conditions
Curran RL, Kukhareva PV, Taft T
Integrated displays to improve chronic disease management in ambulatory care: a SMART on FHIR application informed by mixed-methods user testing.
This study’s objective was to evaluate a novel electronic health record (EHR) add-on application for chronic disease management that uses an integrated display to decrease user cognitive load, improve efficiency, and support clinical decision making. The authors designed an application using the technology framework known as SMART on FHIR (Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources). They used mixed methods to obtain user feedback on a prototype to support ambulatory providers managing chronic obstructive pulmonary disease. Two patient scenarios were presented to the participants using the regular EHR with and without access to their prototype. Results measured was the percentage of expert-recommended ideal care tasks completed. Timing, keyboard and mouse use, and participant surveys were also collected. The 13 participants complete more recommended care using the prototype (81% vs 48%) and recommended tasks per minute over long sessions. Keystrokes per task were also lower with the prototype (6 vs 18). While there was a learning curve for this application, it will increase efficiency and patient care with practice.
AHRQ-funded; HS026198.
Citation: Curran RL, Kukhareva PV, Taft T .
Integrated displays to improve chronic disease management in ambulatory care: a SMART on FHIR application informed by mixed-methods user testing.
J Am Med Inform Assoc 2020 Aug;27(8):1225-34. doi: 10.1093/jamia/ocaa099..
Keywords: Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Care Management, Ambulatory Care and Surgery, Clinical Decision Support (CDS), Decision Making
Huguet N, Kaufmann J, O'Malley J
Using electronic health records in longitudinal studies: estimating patient attrition.
This study’s objective was to estimate overall and among adults with diabetes or hypertension: 1) patient attrition over a 3-year period at community health centers; and 2) the likelihood that patients with Medicaid switched their primary care source. Data was collected from the retrospective cohort study of 2012-2017 claims data Accelerating Data Value Across a National Community Health Center Network (ADVANCE) Clinical Data Research Network of community health centers. This study focused on Oregon Medicaid enrollees with a total of 232,891 patients aged 19-64 with a gap of 6 months or more following a claim for a visit billed to a primary care source. The authors theorized the reason was due to patients with Medicaid permanently changing their primary care source. They found that attrition over 3 years averaged 33.5% but patients with diabetes or hypertension was lower (25% or less). Among Medicaid patients the attrition rate 12% for community health center patients compared with 39% for single-provider practice patients.
AHRQ-funded; HS025962.
Citation: Huguet N, Kaufmann J, O'Malley J .
Using electronic health records in longitudinal studies: estimating patient attrition.
Med Care 2020 Jun;58(Suppl 1):S46-S52. doi: 10.1097/mlr.0000000000001298...
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Blood Pressure, Chronic Conditions, Primary Care, Medicaid
Danforth KN, Hahn EE, Slezak JM
Follow-up of abnormal estimated GFR results within a large integrated health care delivery system: a mixed-methods study.
This study examined the rates of follow-up with patients after abnormal estimated glomular filtration rate (eGFR) laboratory results, which may indicate chronic kidney disease. A large integrated health system was used with a total of 244,540 patients aged 21 or older with abnormal eGFRs were included from January 2010 through December 2015. Timely follow-up was defined as repeat eGFR testing within 60 to 150 days, follow-up testing before 60 days that indicated normal kidney function, or diagnosis before 60 days of chronic kidney disease or kidney cancer. Follow-up was found to be poor, with 58% of patients lacking timely follow-up. Fifteen physicians were also interviewed and it was found that both system-level and provider-level factors influenced follow-up rates.
AHRQ-funded; HS024437.
Citation: Danforth KN, Hahn EE, Slezak JM .
Follow-up of abnormal estimated GFR results within a large integrated health care delivery system: a mixed-methods study.
Am J Kidney Dis 2019 Nov;74(5):589-600. doi: 10.1053/j.ajkd.2019.05.003..
Keywords: Healthcare Delivery, Diagnostic Safety and Quality, Kidney Disease and Health, Electronic Health Records (EHRs), Health Information Technology (HIT), Chronic Conditions
Nahm ES, Zhu S, Bellantoni M
The effects of a theory-based patient portal e-learning program for older adults with chronic illnesses.
The main aim of this study was to assess the impact of an older adult friendly Theory-based Patient portal e-Learning Program (T-PeP) on patient portal (PP) knowledge, selected health outcomes (health decision-making self-efficacy [SE] and health communication), PP SE and use, and e-health literacy in older adults. The investigators found that the T-PeP was effective in improving selected health and PP usage outcomes.
AHRQ-funded; HS024739.
Citation: Nahm ES, Zhu S, Bellantoni M .
The effects of a theory-based patient portal e-learning program for older adults with chronic illnesses.
Telemed J E Health 2019 Oct;25(10):940-51. doi: 10.1089/tmj.2018.0184..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Elderly, Chronic Conditions, Education: Patient and Caregiver
Bacon E, Budney G, Bondy J
Developing a regional distributed data network for surveillance of chronic health conditions: the Colorado Health Observation Regional Data Service.
This article describes attributes of regional distributed data networks using electronic health records (EHR) data and the history and design of Colorado Health Observation Regional Data Service as an emerging public health surveillance tool for chronic health conditions. The authors indicate that while benefits from EHR-based surveillance are described, a number of technology, partnership, and value proposition challenges remain.
AHRQ-funded; HS0122143.
Citation: Bacon E, Budney G, Bondy J .
Developing a regional distributed data network for surveillance of chronic health conditions: the Colorado Health Observation Regional Data Service.
J Public Health Manag Pract 2019 Sep/Oct;25(5):498-507. doi: 10.1097/phh.0000000000000810..
Keywords: Chronic Conditions, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Public Health
Turner AM, Osterhage K, Hartzler A
Personal health information management practices of older adults: one size does not fit all.
This study’s objective was to describe a process of identifying personal health information management (PHIM) activities and objectives of older adults aged 60 years and older from different resident settings. The purpose was to better align PHIM with their needs and practices.
AHRQ-funded; HS022106.
Citation: Turner AM, Osterhage K, Hartzler A .
Personal health information management practices of older adults: one size does not fit all.
Stud Health Technol Inform 2019 Aug 21;264:1995-96. doi: 10.3233/shti190752..
Keywords: Elderly, Electronic Health Records (EHRs), Health Information Technology (HIT), Chronic Conditions
Wu SS, Chan KS, Bae J
Electronic clinical reminder and quality of primary diabetes care.
The goal of this retrospective cohort study was to examine the association of EMR's clinical reminder use with a comprehensive set of diabetes quality metrics in office-based physicians and within solo- versus multi-physician practices. Data on visits made by adults with diabetes were identified from the National Ambulatory Medical Care Survey and a multiple logistic regression was used to test for associations between clinical reminder use and recommended services by the American Diabetes Association. The researchers found no statistically significant relationship that suggests clinical reminder use improves diabetes process guidelines for solo practices, and they conclude that other resource efforts are needed to reduce gaps in primary diabetes care.
AHRQ-funded; HS000029.
Citation: Wu SS, Chan KS, Bae J .
Electronic clinical reminder and quality of primary diabetes care.
Prim Care Diabetes 2019 Apr;13(2):150-57. doi: 10.1016/j.pcd.2018.08.007..
Keywords: Care Management, Chronic Conditions, Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care, Quality of Care
Ancker JS, Mauer E, Kalish RB
Early adopters of patient-generated health data upload in an electronic patient portal.
Patient-generated health data (PGHD) may help providers monitor patient status between clinical visits. The objective of this study was to describe a medical center's early experience with an electronic flowsheet allowing patients to upload self-monitored blood glucose to their provider's electronic health record (EHR). The authors concluded that despite the potential value of PGHD in health care, the rate of adoption of a tool allowing patients to upload PGHD to their provider's EHR had been slow.
AHRQ-funded; HS021531.
Citation: Ancker JS, Mauer E, Kalish RB .
Early adopters of patient-generated health data upload in an electronic patient portal.
Early adopters of patient-generated health data upload in an electronic patient portal..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Chronic Conditions
Belden JL, Wegier P, Patel J
Designing a medication timeline for patients and physicians.
Researchers designed a prototype medication timeline visualization for physicians which can be used in the care of chronic disease. It was designed using open source software. A small pilot evaluation of the design was used with physicians. It was designed to improve physician performance by reducing temporal and cognitive load.
AHRQ-funded; HS023328.
Citation: Belden JL, Wegier P, Patel J .
Designing a medication timeline for patients and physicians.
J Am Med Inform Assoc 2019 Feb;26(2):95-105. doi: 10.1093/jamia/ocy143..
Keywords: Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication
Sequist TD, Holliday AM, Orav EJ
Physician and patient tools to improve chronic kidney disease care.
This study sought to determine if electronic health record (EHR) tools and patient engagement can improve the quality of chronic kidney disease (CKD) care. It found that, among high-risk patients, those in the intervention arm were significantly more likely to have an office visit with a nephrologist compared with those in the control arm.
AHRQ-funded; HS018226.
Citation: Sequist TD, Holliday AM, Orav EJ .
Physician and patient tools to improve chronic kidney disease care.
Am J Manag Care 2018 Apr;24(4):e107-e14.
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Keywords: Chronic Conditions, Electronic Health Records (EHRs), Kidney Disease and Health, Patient and Family Engagement, Quality Improvement
Ratanawongsa N, Chan LL, Fouts MM
The challenges of electronic health records and diabetes electronic prescribing: implications for safety net care for diverse populations.
This review highlights how the EHR electronic prescribing transformation has affected diabetes care for vulnerable patients and offers recommendations for improving patient safety through EHR electronic prescribing design, implementation, policy, and research. Specifically, it presents evidence for the adoption of RxNorm and standardized naming and picklist options for high alert medications such as insulin.
AHRQ-funded; HS022561; HS023558.
Citation: Ratanawongsa N, Chan LL, Fouts MM .
The challenges of electronic health records and diabetes electronic prescribing: implications for safety net care for diverse populations.
J Diabetes Res 2017;2017:8983237. doi: 10.1155/2017/8983237.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Vulnerable Populations, Diabetes, Patient Safety, Chronic Conditions
Ryu E, Chamberlain AM, Pendergraft RS
Quantifying the impact of chronic conditions on a diagnosis of major depressive disorder in adults: a cohort study using linked electronic medical records.
In this study, the researchers aimed to quantify the relative contribution of selected chronic conditions to identify the conditions most influential to major depressive disorder (MDD) risk in adults and identify differences by age. Their results suggest that specific chronic conditions such as diabetes mellitus and rheumatoid arthritis/osteoarthritis may have greater influence than others on the risk of MDD.
AHRQ-funded; HS023077.
Citation: Ryu E, Chamberlain AM, Pendergraft RS .
Quantifying the impact of chronic conditions on a diagnosis of major depressive disorder in adults: a cohort study using linked electronic medical records.
BMC Psychiatry 2016 Apr 26;16:114. doi: 10.1186/s12888-016-0821-x.
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Keywords: Chronic Conditions, Depression, Electronic Health Records (EHRs), Primary Care
Ratanawongsa N, Barton JL, Lyles CR
Association between clinician computer use and communication with patients in safety-net clinics.
The researchers studied associations between clinician computer use and communication with patients with diverse chronic diseases in safety-net clinics. They found that high computer use by clinicians in safety-net clinics was associated with lower patient satisfaction and observable communication differences.
AHRQ-funded; HS022561; HS022408.
Citation: Ratanawongsa N, Barton JL, Lyles CR .
Association between clinician computer use and communication with patients in safety-net clinics.
JAMA Intern Med 2016 Jan;176(1):125-8. doi: 10.1001/jamainternmed.2015.6186.
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Keywords: Clinician-Patient Communication, Communication, Chronic Conditions, Patient Experience, Electronic Health Records (EHRs), Health Information Technology (HIT)
Juckett DA, Davis FN, Gostine M
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
The researchers aimed to build a phenotype-to-outcome model targeting chronic pain to be used to drive clinical decision support for pain medicine in the community setting. Exploratory factor analysis of the intake Pain Health Assessment revealed 15 orthogonal factors representing pain levels; physical, social, and emotional functions; the effects of pain on these functions; vitality and health; and measures of outcomes and satisfaction.
AHRQ-funded; HS022335.
Citation: Juckett DA, Davis FN, Gostine M .
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
BMC Med Inform Decis Mak 2015 May 28;15:41. doi: 10.1186/s12911-015-0164-4..
Keywords: Care Management, Chronic Conditions, Community-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes, Pain
Neff JM, Clifton H, Popalisky J
Stratification of children by medical complexity.
The investigators stratified children using the software, Clinical Risk Groups (CRGs), in a tertiary children's hospital and a state's Medicaid claims data into 3 condition groups: complex chronic disease; noncomplex chronic disease, and nonchronic disease. They concluded that CRGs can be used to stratify children receiving care at a tertiary care hospital according to complexity in both hospital and Medicaid administrative data.
AHRQ-funded; HS020506.
Citation: Neff JM, Clifton H, Popalisky J .
Stratification of children by medical complexity.
Acad Pediatr 2015 Mar-Apr;15(2):191-6. doi: 10.1016/j.acap.2014.10.007.
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Keywords: Children/Adolescents, Chronic Conditions, Data, Electronic Health Records (EHRs), Children/Adolescents