Dataset Information

Care coordination and provider stress in primary care management of high-risk patients.

ABSTRACT:

Background

Care coordination is a critical component of managing high-risk patients, who tend to have complex and multiple medical and psychosocial problems and are typically at high risk for increased hospitalization and incur high health care expenditures. Primary care models such as the patient-centered medical homes (PCMHs) are designed to improve care coordination and reduce care fragmentation. However, little is known about how the burden of care coordination for high-risk patients influences PCMH team members' stress.

Objective

To evaluate the relationship between provider stress and care coordination time in high-risk patient care and whether availability of help is associated with reduced stress.

Study design

Multivariable regression analysis of a cross-sectional survey of PCMH primary care providers (PCPs) and nurses.

Participants

A total of 164 PCPs and 272 nurses in primary care practices at five geographically diverse Veteran Health Administration (VA) medical center health systems.

Main measures

The main outcome variable was provider stress due to high-risk patient care. Independent variables were the reported proportion of high-risk patients in PCP/nurse patient panels, time spent coordinating care for these patients, and provider satisfaction with help received in caring for them.

Key results

The response rate was 44%. Spending more than 8 h per week coordinating care was significantly associated with a 0.21-point increase in reported provider stress compared to spending 8 h or less per week (95% CI: 0.04-0.39; p = 0.015). The magnitude of the association between stress and care coordination time was diminished when provider satisfaction with help received was included in the model.

Conclusions

Perceived provider stress from care of high-risk patients may arise from challenges related to coordinating their care. Our findings suggest that the perception of receiving help for high-risk patient care may be valuable in reducing provider stress.

SUBMITTER: Okunogbe A

PROVIDER: S-EPMC5756166 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Care coordination and provider stress in primary care management of high-risk patients.

Okunogbe Adeyemi A Meredith Lisa S LS Chang Evelyn T ET Simon Alissa A Stockdale Susan E SE Rubenstein Lisa V LV

Journal of general internal medicine 20171002 1

<h4>Background</h4>Care coordination is a critical component of managing high-risk patients, who tend to have complex and multiple medical and psychosocial problems and are typically at high risk for increased hospitalization and incur high health care expenditures. Primary care models such as the patient-centered medical homes (PCMHs) are designed to improve care coordination and reduce care fragmentation. However, little is known about how the burden of care coordination for high-risk patients ...[more]

PMID: 28971306

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Project description:BackgroundCare coordination has been a common tool for practices seeking to manage complex patients, yet there remains confusion about the most effective and sustainable model. Research exists on opinions of providers of care coordination but there is limited information on perspectives of those in the insurance industry about key elements. We sought to gather opinions from primary care providers and administrators in Minnesota who were involved in a CMS (Center for Medicare and Medicaid Services) transformational grant implementing COMPASS (Care Of Mental, Physical And Substance-use Syndromes), an evidence-based model of care coordination for depressed patients comorbid with diabetes and/or cardiovascular disease. We then sought to compare these views with those of private insurance representatives in Minnesota.MethodsWe used qualitative methods to conducted forty-two key informant interviews with primary care providers (n = 15); administrators (n = 15); and insurers (n = 12). We analyzed the recorded and transcribed data, once de-identified, using a frameworks analysis approach.ResultsWe identified six primary themes: 1) a defined scope, rationale, and key partnerships for building comprehensive care coordination programs, 2) effective information exchange, 3) a trained and available workforce, 4) the need for a business model and a financially justifiable program, 5) a need for evaluation and ongoing improvement of care coordination, and 6) the importance of patient and family engagement. Overall consensus across stakeholder groups was high including a call for payment reform to support a valued service. Despite their role in paying for care, insurance representatives did not stress reduced utilization as more important than other outcomes.ConclusionsPrimary care providers and administrators from different organizations and backgrounds, all with experience in COMPASS, in large part agreed with insurance representatives on the main elements of a sustainable model and the need for health reform to sustain this service.

Project description:BackgroundCommunity health centers are increasingly embracing the Patient Centered Medical Home (PCMH) model to improve quality, access to care, and patient experience while reducing healthcare costs. Care coordination (CC) is an important element of the PCMH model, but implementation and measurability of CC remains a problem within the outpatient setting. Assessing CC is an integral component of quality monitoring in health care systems. This study developed and validated the Medical Home Care Coordination Survey (MHCCS), to fill the gap in assessing CC in primary care from the perspectives of patients and their primary healthcare teams.MethodsWe conducted a review of relevant literature and existing care coordination instruments identified by bibliographic search and contact with experts. After identifying all care coordination domains that could be assessed by primary healthcare team members and patients, we developed a conceptual model. Potentially appropriate items from existing published CC measures, along with newly developed items, were matched to each domain for inclusion. A modified Delphi approach was used to establish content validity. Primary survey data was collected from 232 patients with care transition and/or complex chronic illness needs from the Community Health Center, Inc. and from 164 staff members from 12 community health centers across the country via mail, phone and online survey. The MHCCS was validated for internal consistency, reliability, discriminant and convergent validity. This study was conducted at the Community Health Center, Inc. from January 15, 2012 to July 15, 2014.ResultsThe 13-item MHCCS - Patient and the 32-item MHCCS - Healthcare Team were developed and validated. Exploratory Structural Equation Modeling was used to test the hypothesized domain structure. Four CC domains were confirmed from the patient group and eight were confirmed from the primary healthcare team group. All domains had high reliability (Cronbach's α scores were above 0.8).ConclusionsPatients experience the ultimate output of care coordination services, but primary healthcare staff members are best primed to perceive many of the structural elements of care coordination. The proactive measurement and monitoring of the core domains from both perspectives provides a richer body of information for the continuous improvement of care coordination services. The MHCCS shows promise as a valid and reliable assessment of these CC efforts.

Project description:Our study aimed to describe patient experience of information coordination between their primary care physician and specialists and to examine the associations between their experience and their personal and primary care characteristics. We conducted a cross-sectional study of Ontario residents rostered to a primary care physician and visited a specialist physician in the previous 12 months by linking population-based health administrative data to the Health Care Experience Survey collected between 2013 and 2020. We described respondents' sociodemographic and health care utilization characteristics and their experience of information coordination between their primary care physician and specialists. We measured the adjusted association between patient-reported measures of information coordination before and after respondents received care from a specialist physician and their type of primary care model. 1,460 out 20,422 (weighted 7.5%) of the respondents reported that their specialist physician did not have basic medical information about their visit from their primary care physician in the previous 12 months. 2,298 out of 16,442 (weighted 14.9%) of the respondents reported that their primary care physician seemed uninformed about the care they received from the specialist. Females, younger individuals, those with a college or undergraduate level of education, and users of walk-in clinics had a higher likelihood of reporting a lack of information coordination between the primary care and specialist physicians. Only respondents rostered to an enhanced fee-for-service model had a higher odds of reporting that the specialist physician did not have basic medical information about their visit compared to those rostered to a Family Health Team (OR 1.22, 95% Cl 1.12-1.40). We found no significant association between respondent's type of primary care model and that their primary care physician was uninformed about the care received from the specialist physician. In this population-based health study, respondents reported high information coordination between their primary care physician and specialists. Except for respondents rostered to an enhanced fee-for-service model of care, we did not find any difference in information coordination across other primary care models.

Dataset Information

Care coordination and provider stress in primary care management of high-risk patients.

Background

Objective

Study design

Participants

Main measures

Key results

Conclusions

Publications

Care coordination and provider stress in primary care management of high-risk patients.

Similar Datasets

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