National Healthcare Quality and Disparities Report
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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 33 Research Studies DisplayedKuo YF, Agrawal P, Chou LN
Assessing association between team structure and health outcome and cost by social network analysis.
Researchers sought to assess the impact of team structure composition and degree of collaboration among various providers on process and outcomes of primary care. Their findings showed that highly connected primary care practices with high collaborative care and less top-down MD-centered authority have lower odds of hospitalization, fewer emergency room admissions, and lower total spending. They concluded that these findings likely reflect better communication and more coordinated care of older patients.
AHRQ-funded; HS020642.
Citation: Kuo YF, Agrawal P, Chou LN .
Assessing association between team structure and health outcome and cost by social network analysis.
J Am Geriatr Soc 2021 Apr;69(4):946-54. doi: 10.1111/jgs.16962..
Keywords: Elderly, Teams, Healthcare Delivery, Primary Care, Primary Care: Models of Care, Care Coordination
Grove LR, Gertner AK, Swietek KE
Effect of enhanced primary care for people with serious mental illness on service use and screening.
This retrospective cohort study compared healthcare use and screening receipt of people with serious mental illness (SMI) newly receiving enhanced primary care to people with SMI newly receiving usual primary care. Outcome measures included outpatient visits, emergency department (ED) visits, inpatient stays and dates, and recommended screenings 18 months after the initial visit. Enhanced primary care was associated with an increase of 1.2 primary care visits in the 18 months after the initial visit and decreases of 0.33 non-psychiatric inpatient days and 3.0 non-psychiatric inpatient days. There was no significant effect on psychiatric service and ED visits. Enhanced primary care increased the probability of preventive screenings such as glucose and HIV, decreased the probability of lipid screening, and had no effect on hemoglobin A1c and colorectal cancer screening.
AHRQ-funded; HS000032.
Citation: Grove LR, Gertner AK, Swietek KE .
Effect of enhanced primary care for people with serious mental illness on service use and screening.
J Gen Intern Med 2021 Apr;36(4):970-77. doi: 10.1007/s11606-020-06429-2..
Keywords: Behavioral Health, Primary Care: Models of Care, Primary Care, Patient-Centered Healthcare, Screening, Healthcare Utilization, Healthcare Delivery
Han B, Chen PG, Yu H
Access to after-hours primary care: a key determinant of children's medical home status.
Researchers sought to identify individual survey items or domains that best predict medical home (MH) status for children and use them to develop brief markers of MH status. Using MEPS data, they found that accessibility, especially the ability to access health care after regular office hours, appeared to be the major predictor of having a MH among children. They recommended that the ongoing efforts to promote the MH model target improving accessibility of health care after regular hours for children overall and especially for Latino children.
AHRQ-funded; HS023336.
Citation: Han B, Chen PG, Yu H .
Access to after-hours primary care: a key determinant of children's medical home status.
BMC Health Serv Res 2021 Feb 27;21(1):185. doi: 10.1186/s12913-021-06192-y..
Keywords: Medical Expenditure Panel Survey (MEPS), Children/Adolescents, Primary Care: Models of Care, Primary Care, Patient-Centered Healthcare, Access to Care, Healthcare Delivery, Disparities, Racial and Ethnic Minorities
Kuo YF, Lin YL, D Jupiter, et al.
How to identify team-based primary care in the United States using Medicare data.
The authors assessed whether analyses using different sets of Medicare data can produce results similar to those from analyses using 100% data from an entire state in identifying primary care teams through social network analysis. They found that, depending on specific study purposes, researchers could use either 100% data from Medicare beneficiaries in randomly selected primary care services areas or data from a 20% national sample of Medicare beneficiaries to study team-based primary care in the United States.
AHRQ-funded; HS020642.
Citation: Kuo YF, Lin YL, D Jupiter, et al..
How to identify team-based primary care in the United States using Medicare data.
Med Care 2021 Feb;59(2):118-22. doi: 10.1097/mlr.0000000000001478.
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Keywords: Teams, Primary Care: Models of Care, Primary Care, Medicare, Health Services Research (HSR), Healthcare Delivery
Hung DY, Truong QA, Liang SY
Implementing lean quality improvement in primary care: impact on efficiency in performing common clinical tasks.
Investigators examined 3-year impacts of Lean implementation on the amount of time taken for physicians to complete common clinical tasks. They found that Lean redesigns led to improvements in timely completion of 3 out of 4 common clinical tasks, thus supporting the use of Lean techniques to engage teams in routine aspects of patient care. They recommended more research to understand the mechanisms by which Lean promotes quality improvement and effectiveness of care team workflows.
AHRQ-funded; HS024529.
Citation: Hung DY, Truong QA, Liang SY .
Implementing lean quality improvement in primary care: impact on efficiency in performing common clinical tasks.
J Gen Intern Med 2021 Feb;36(2):274-79. doi: 10.1007/s11606-020-06317-9..
Keywords: Primary Care, Quality Improvement, Quality of Care, Primary Care: Models of Care, Primary Care, Implementation, Workflow, Teams, Healthcare Delivery
Pestka DL, Paterson NL, Benedict KA
Delivering care to high-cost high-need patients: lessons learned in the development of a complex care primary care team.
As part of a population health-focused primary care transformation, in 2019 a health system in Minnesota developed a primary care team to exclusively care for high-cost high-need patients. Through its development and implementation, the team has discovered several key lessons in delivering care to complex patients. In this paper, the authors discuss lessons learned from their research.
AHRQ-funded; HS026379.
Citation: Pestka DL, Paterson NL, Benedict KA .
Delivering care to high-cost high-need patients: lessons learned in the development of a complex care primary care team.
J Prim Care Community Health 2021 Jan-Dec;12:21501327211023888. doi: 10.1177/21501327211023888..
Keywords: Primary Care, Primary Care: Models of Care, Healthcare Delivery, Teams, Communication, Implementation
Qureshi N, Quigley DD, Hays RD
Nationwide qualitative study of practice leader perspectives on what it takes to transform into a patient-centered medical home.
The purpose of this study was to examine reasons practices obtained and maintained patient-centered medical home (PCMH) recognition and what resources were needed. The investigators concluded that PCMH efforts necessitated support and assistance to frontline, on-site practice leaders leading care delivery changes. They suggested that change efforts should include financial incentives (e.g., direct payment or additional reimbursement), leadership direction and support, and internal or external staff with experience with the PCMH application process, implementation changes, and QI expertise in monitoring process and outcome data.
AHRQ-funded; HS016980.
Citation: Qureshi N, Quigley DD, Hays RD .
Nationwide qualitative study of practice leader perspectives on what it takes to transform into a patient-centered medical home.
J Gen Intern Med 2020 Dec;35(12):3501-09. doi: 10.1007/s11606-020-06052-1..
Keywords: Patient-Centered Healthcare, Primary Care: Models of Care, Primary Care, Quality Improvement, Quality of Care, Healthcare Delivery
Harvey JB, Vanderbrink J, Mahmud Y
Understanding how health systems facilitate primary care redesign.
The objectives of this study were to understand how health systems are facilitating primary care redesign (PCR), examine the PCR initiatives taking place within systems, and identify barriers to this work. A sample of 24 health systems in 4 states was used to identify how system leaders define and implement initiatives to redesign primary care delivery and identify challenges. Codes based on the theoretical PCR literature was used and researchers also created new codes. Semi-structured telephone interviews with 162 system executives and physician organization leaders from 24 systems were conducted. Initiatives to redesign the delivery of primary care were described by leaders, but many were still in the early stages. Motivating factors for team-based care included improvement efficiency and enhancing clinician job satisfaction. Changes in payment and risk assumption as well as community needs were commonly cited as motivators for population health management and care coordination. Challenges health systems face in redesigning primary included return on investment and slower than anticipated rate in moving from fee-for-service to value-based payment.
AHRQ-funded; HS024067.
Citation: Harvey JB, Vanderbrink J, Mahmud Y .
Understanding how health systems facilitate primary care redesign.
Health Serv Res 2020 Dec;55(Suppl 3):1144-54. doi: 10.1111/1475-6773.13576..
Keywords: Health Systems, Primary Care: Models of Care, Primary Care, Healthcare Delivery
Guo F, Lin YL, Raji M
Processes and outcomes of diabetes mellitus care by different types of team primary care models.
This study compared processes and outcomes of care provided to older patients with diabetes by primary care teams composed of only primary care physicians (PCPs) versus team care that included nurse practitioners (NPs) or physician assistants (PAs). The authors studied 3,524 primary care practices identified via social network analysis and 306,741 patients aged 66 and older diagnosed with diabetes mellitus in or before 2015 from Medicare data. Outcomes looked for was more adherence to guideline-recommended care including eye examination, hemoglobin A1c test, and nephropathy monitoring. Preventable hospitalizations and high-risk medication prescribing rates were also measured. Patients in the team care practices received more guideline-recommended diabetes care than patients in PCP only teams. Patients in team care practices had a slightly higher likelihood of being prescribed high-risk medications. The likelihood of preventable hospitalizations was similar among all types of practices.
AHRQ-funded; HS020642.
Citation: Guo F, Lin YL, Raji M .
Processes and outcomes of diabetes mellitus care by different types of team primary care models.
PLoS One 2020 Nov 5;15(11):e0241516. doi: 10.1371/journal.pone.0241516..
Keywords: Elderly, Teams, Primary Care: Models of Care, Healthcare Delivery, Outcomes, Care Coordination, Practice Patterns
Islam N, Rogers ES, Schoenthaler EA
A cross-cutting workforce solution for implementing community-clinical linkage models.
This article discusses the use of employing community health workers (CHWs) in primary care practices to create community-clinical linkage models to address the underlying role of social determinants of health and achieve health equity. Federal initiatives such as EvidenceNOW and Million Hearts have supported a renewed focus on small, independently owned practices. These initiatives emphasize the role of practice facilitation. The authors drew from the literature and propose that small, independently owned practices strategically employ practice facilitators to help integrate CHWs into their primary care teams. These facilitators help provide a “population health management” infrastructure to develop effective partnerships. Several ways that practice facilitation can help do this is outlined in this paper.
AHRQ-funded; HS023922.
Citation: Islam N, Rogers ES, Schoenthaler EA .
A cross-cutting workforce solution for implementing community-clinical linkage models.
Am J Public Health 2020 Jul;110(S2):S191-s93. doi: 10.2105/ajph.2020.305692..
Keywords: Community-Based Practice, Primary Care, Workforce, Primary Care: Models of Care, Healthcare Delivery
Upadhya KK, Psoter KJ, Connor KA
AHRQ Author: Mistry KB
Cluster randomized trial of a pre/interconception health intervention for mothers in pediatric visits.
Recognizing that pediatric primary care focuses on family health and is an important location of contact for women of childbearing age, this project assessed the effectiveness of a pre/interconception women's health intervention delivered during pediatric primary care using a cluster randomized trial. The investigators concluded that pediatric visits are an opportune location for addressing maternal health. They indicated that this intervention demonstrated feasibility and improved outcomes for some but not all outcome.
AHRQ-authored.
Citation: Upadhya KK, Psoter KJ, Connor KA .
Cluster randomized trial of a pre/interconception health intervention for mothers in pediatric visits.
Acad Pediatr 2020 Jul;20(5):660-69. doi: 10.1016/j.acap.2019.10.003..
Keywords: Family Health and History, Pregnancy, Women, Primary Care: Models of Care, Primary Care, Healthcare Delivery
Persell SD, Liss DT, Walunas TL
Effects of 2 forms of practice facilitation on cardiovascular prevention in primary care: a practice-randomized, comparative effectiveness trial.
Effective quality improvement (QI) strategies are needed for small practices. The objective of this study was to compare practice facilitation implementing point-of-care (POC) QI strategies alone versus facilitation implementing point-of-care plus population management (POC+PM) strategies on preventive cardiovascular care. The investigators concluded that facilitator-led QI promoting population management approaches plus POC improvement strategies was not clearly superior to POC strategies alone.
AHRQ-funded; HS023921.
Citation: Persell SD, Liss DT, Walunas TL .
Effects of 2 forms of practice facilitation on cardiovascular prevention in primary care: a practice-randomized, comparative effectiveness trial.
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Keywords: Cardiovascular Conditions, Prevention, Primary Care: Models of Care, Primary Care, Comparative Effectiveness, Patient-Centered Outcomes Research, Evidence-Based Practice, Quality Improvement, Quality of Care, Care Management, Healthcare Delivery
Golberstein E, Joseph JM, Druss BG
The use of psychiatric econsults in primary care.
This study examined the use of an electronic consultation tool (eConsult) by primary care physicians (PCPs) with psychiatrists. The authors investigated the use of psychiatric eConsults in a large integrated delivery system in Minnesota (Allina Health). The tool was introduced in 22 of its primary care clinics on August 1, 2015. Patients had no fee and psychiatrists received 0.75 work relative value units for each eConsult. Out of 95,105 encounters across 219 PCPs from August 2015 through December 2016 only 256 (0.27%) had a psychiatric eConsult order. Among 37.606 encounters with a primary mental health diagnosis only 138 (0.37%) had an eConsult order. Anxiety and depressive disorders were the most common diagnosis types for PCP visits without an eConsult order as well as bipolar disorder, but schizophrenia and psychotic disorder diagnoses were more common with eConsult orders. Over half of eConsults were for medication-related issues, 33% for a specific mental health diagnosis, and 15% for psychiatry without any details. Most PCPs (63%) never ordered an eConsult but the top ten users of eConsults accounted for 46% of the total orders.
AHRQ-funded; HS025245.
Citation: Golberstein E, Joseph JM, Druss BG .
The use of psychiatric econsults in primary care.
J Gen Intern Med 2020 Feb;35(2):616-17. doi: 10.1007/s11606-019-05048-w..
Keywords: Telehealth, Health Information Technology (HIT), Behavioral Health, Primary Care: Models of Care, Primary Care, Healthcare Delivery
Parchman ML, Ike B, Osterhage KP
Barriers and facilitators to implementing changes in opioid prescribing in rural primary care clinics.
This paper discusses the barriers and facilitators to implementing changes in opioid prescription in rural areas using the Six Building Blocks evidence-based program to reduce opioid prescription in primary care practices. The program was implemented at 6 rural and rural-serving organizations with 20 clinic locations over a 15-month period. Interviews and focus groups with conducted with the organizations at the end of the program period. Facilitators included a desire to help patients and their community; external pressures to make changes in opioid management; a desire to reduce workplace stress; external support for the clinic; supportive clinic leadership; and receptivity of patients. Barriers included competing demands on clinicians and staff; a culture of clinician autonomy; inadequate data systems; and a lack of patient resources in rural areas.
AHRQ-funded; HS023750.
Citation: Parchman ML, Ike B, Osterhage KP .
Barriers and facilitators to implementing changes in opioid prescribing in rural primary care clinics.
J Clin Transl Sci 2020 Jan 10;4(5):425-30. doi: 10.1017/cts.2019.448..
Keywords: Opioids, Medication, Rural Health, Primary Care, Primary Care: Models of Care, Implementation, Pain, Chronic Conditions, Healthcare Delivery
Saluja S, Hochman M, Bourgoin A
Primary care: the new frontier for reducing readmissions.
To date, efforts to reduce hospital readmissions have centered largely on hospitals. In a recently published environmental scan, the investigators examined the literature focusing on primary care-based efforts to reduce readmissions. They found that multi-component care transitions programs that are initiated early in the hospitalization and are part of broader primary care practice transformation appear most promising.
AHRQ-funded; 233201500019I.
Citation: Saluja S, Hochman M, Bourgoin A .
Primary care: the new frontier for reducing readmissions.
J Gen Intern Med 2019 Dec;34(12):2894-97. doi: 10.1007/s11606-019-05428-2.
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Keywords: Primary Care, Hospital Readmissions, Hospitals, Transitions of Care, Primary Care: Models of Care, Healthcare Delivery
Chan B, Hulen E, Edwards S
"It's like riding out the chaos": caring for socially complex patients in an ambulatory intensive care unit (A-ICU).
AHRQ-funded; HS022981.
Citation: Chan B, Hulen E, Edwards S .
"It's like riding out the chaos": caring for socially complex patients in an ambulatory intensive care unit (A-ICU).
Ann Fam Med 2019 Nov;17(6):495-501. doi: 10.1370/afm.2464..
Keywords: Primary Care, Primary Care: Models of Care, Ambulatory Care and Surgery, Vulnerable Populations, Patient-Centered Healthcare, Healthcare Delivery
Kuo YF, Raji MA, Lin YL
Use of Medicare data to identify team-based primary care: is it possible?
This study’s goal was to determine if Medicare data can be used to identify type and degree of collaboration between primary care providers (PCPs), nurse practitioners, and physician assistants in a team care model. Researchers surveyed 63 primary care practices in Texas and linked the survey results to 2015 100% Medicare data. They measured sensitivity, specificity and positive predictive value (PPV) of dyad teams in Medicare data. They found a higher PPV between MD-nurse practitioner/physician assistant pairs than for MD-MD pairs. There was low sensitivity over all (27.8%), but specificity was 91.7% and PPV 72.2%.
AHRQ-funded; HS020642.
Citation: Kuo YF, Raji MA, Lin YL .
Use of Medicare data to identify team-based primary care: is it possible?
Med Care 2019 Nov;57(11):905-12. doi: 10.1097/mlr.0000000000001201..
Keywords: Medicare, Primary Care, Teams, Primary Care: Models of Care, Healthcare Delivery
Riley AR, Paternostro JK, Walker BL
The impact of behavioral health consultations on medical encounter duration in pediatric primary care: a retrospective match-controlled study.
This retrospective match-controlled study examined the impact of behavioral health consultations on medical visit duration in pediatric primary care. Patient encounters involving behavioral health consultants were significantly longer (11 plus minutes) than matched controls, and had less time allowed for medical care. The authors of the study recommend that behavioral health consultants work with the clinician to improve time efficiency.
AHRQ-funded; HS022981.
Citation: Riley AR, Paternostro JK, Walker BL .
The impact of behavioral health consultations on medical encounter duration in pediatric primary care: a retrospective match-controlled study.
Fam Syst Health 2019 Jun;37(2):162-66. doi: 10.1037/fsh0000406..
Keywords: Behavioral Health, Children/Adolescents, Healthcare Delivery, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Primary Care, Primary Care: Models of Care
Riley AR, Freeman KA
Impacting pediatric primary care: opportunities and challenges for behavioral research in a shifting healthcare landscape.
This commentary discusses the role that behavioral analysts can have in partnership with pediatric medicine. There have been advances, but there has been limited impact for the daily practice of pediatrics. The authors discuss why behavioral pediatrics has failed to gain traction in primary care, describe possible opportunities for an expanded portfolio of research, and identify several examplars from the behavior analytic literature that has influenced pediatric primary care, and make further recommendations for producing influential data.
AHRQ-funded; HS022981.
Citation: Riley AR, Freeman KA .
Impacting pediatric primary care: opportunities and challenges for behavioral research in a shifting healthcare landscape.
Behav Anal 2019 Feb;19(1):23-38. doi: 10.1037/bar0000114..
Keywords: Behavioral Health, Children/Adolescents, Health Services Research (HSR), Healthcare Delivery, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Primary Care, Primary Care: Models of Care, Research Methodologies
Fraze TK, Fisher ES, Tomaino MR
Comparison of populations served in hospital service areas with and without comprehensive primary care plus medical homes.
The purpose of this comparative cross sectional study was to describe practices that joined the Comprehensive Primary Care Plus (CPC+) model and compare hospital service areas with and without CPC+ practices. The authors concluded that according to this study, although a diverse set of practices joined the CPC+ program, practices in areas characterized by patient populations with greater advantage were more likely to join, which may affect access to advanced primary care medical home models such as CPC+, by vulnerable populations.
AHRQ-funded; HS024075.
Citation: Fraze TK, Fisher ES, Tomaino MR .
Comparison of populations served in hospital service areas with and without comprehensive primary care plus medical homes.
JAMA Netw Open 2018 Sep 7;1(5):e182169. doi: 10.1001/jamanetworkopen.2018.2169..
Keywords: Primary Care, Patient-Centered Healthcare, Primary Care: Models of Care, Healthcare Delivery, Access to Care
Skinner D, Franz B, Howard J
The politics of primary care expansion: lessons from cancer survivorship and substance abuse.
The purpose of this study was to understand the perspectives of primary care innovators treating patient populations not traditionally considered to be within the purview of primary care. The authors indicated that their study findings suggested that the politics surrounding entrenched professional identities contributed to barriers faced by conference participants in their efforts to provide innovative care for these nontraditional populations. Specifically, obstacles surfaced in relation to sharing patients across disciplinary boundaries, which resulted in issues of possessiveness, a questioning of provider qualifications, and a lack of interprofessional trust.
AHRQ-funded; HS021287.
Citation: Skinner D, Franz B, Howard J .
The politics of primary care expansion: lessons from cancer survivorship and substance abuse.
J Healthc Manag 2018 Sep-Oct;63(5):323-36. doi: 10.1097/jhm-d-16-00030..
Keywords: Primary Care, Primary Care: Models of Care, Patient-Centered Healthcare, Cancer, Substance Abuse, Policy, Healthcare Delivery, Organizational Change, Quality of Care
Kass AE, Balantekin KN, Fitzsimmons-Craft EE
The economic case for digital interventions for eating disorders among United States college students.
This article aimed to estimate the costs, in United States (US) dollars, of a stepped care model for online prevention and treatment among US college students to inform meaningful decisions regarding resource allocation and adoption of efficient care delivery models for EDs on college campuses. A stepped care model was estimated to achieve modest cost savings compared to standard care, but these estimates need to be tested with sensitivity analyses.
AHRQ-funded; HS000078.
Citation: Kass AE, Balantekin KN, Fitzsimmons-Craft EE .
The economic case for digital interventions for eating disorders among United States college students.
Int J Eat Disord 2017 Mar;50(3):250-58. doi: 10.1002/eat.22680.
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Keywords: Behavioral Health, Healthcare Delivery, Healthcare Costs, Prevention, Primary Care: Models of Care, Telehealth, Young Adults, Web-Based
O'Malley D, Hudson SV, Nekhlyudov L
Learning the landscape: implementation challenges of primary care innovators around cancer survivorship care.
This study describes the experiences of early implementers of primary care-focused cancer survivorship delivery models. Implementation challenges included (1) lack of key stakeholder buy-in; (2) practice resources allocated to competing (non-survivorship) change efforts; and (3) competition with higher priority initiatives incentivized by payers.
AHRQ-funded; HS021287.
Citation: O'Malley D, Hudson SV, Nekhlyudov L .
Learning the landscape: implementation challenges of primary care innovators around cancer survivorship care.
J Cancer Surviv 2017 Feb;11(1):13-23. doi: 10.1007/s11764-016-0555-2.
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Keywords: Primary Care, Cancer, Healthcare Delivery, Primary Care: Models of Care, Mortality
Bierman AS, Tinetti ME
AHRQ Author: Bierman AS
Precision medicine to precision care: managing multimorbidity.
Multimorbidity is the most common condition managed in practice. The authors argue that health-care delivery must be transformed to provide precision care to people with multimorbidity. Accomplishing this transition will require a change in practice, research, and policy from disease-specific to patient-centered models of care delivery.
AHRQ-authored.
Citation: Bierman AS, Tinetti ME .
Precision medicine to precision care: managing multimorbidity.
Lancet 2016 Dec 3;388(10061):2721-23. doi: 10.1016/s0140-6736(16)32232-2.
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Keywords: Healthcare Delivery, Chronic Conditions, Guidelines, Patient-Centered Healthcare, Primary Care, Primary Care: Models of Care
Luo Z, Chen Q, Annis AM
A comparison of health plan- and provider-delivered chronic care management models on patient clinical outcomes.
Two contrasting strategies of chronic care management include provider-delivered care management (PDCM) and health plan-delivered care management (HPDCM). The researchers aimed to compare the effectiveness of PDCM vs. HPDCM on improving clinical outcomes for patients with chronic diseases. They found that in a commercially insured population, neither PDCM nor HPDCM resulted in substantial improvement in patients' clinical indicators in the first year.
AHRQ-funded; HS020108.
Citation: Luo Z, Chen Q, Annis AM .
A comparison of health plan- and provider-delivered chronic care management models on patient clinical outcomes.
J Gen Intern Med 2016 Jul;31(7):762-70. doi: 10.1007/s11606-016-3617-2.
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Keywords: Chronic Conditions, Care Management, Primary Care: Models of Care, Primary Care, Healthcare Delivery, Comparative Effectiveness, Patient-Centered Outcomes Research, Health Insurance