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Does risk-adjusted payment influence primary care providers' decision on where to set up practices?

ABSTRACT: Providing equal access to health care is an important objective in most health care systems. It is especially pertinent in systems like the Swedish primary care market, where private providers are free to establish themselves in any part of the country. To improve equity in access to care, 15 out 21 county councils in Sweden have implemented risk-adjusted capitation based on the Care Need Index, which increases capitation to primary care centers with a large share of patients with unfavorable socioeconomic and demographic characteristics. Our aim is to estimate the effects of using care-need adjusted capitation on the supply of private primary care centers.We use a dataset that combines information on all primary care centers in Sweden during 2005-2013, the payment system and other conditions for establishing new primary care centers used in the county councils, and demographic, geographic, and socioeconomic variables for low-level geographic areas. To estimate the effects of care-need adjusted capitation, we use difference-in-differences models, contrasting the development over time between areas with and without risk-adjusted capitation, and with high and low Care Need Index values.Risk-adjusted capitation significantly increases the number of private primary care centers in areas with relatively high Care Need Index values. The adjustment results in a changed distribution of private centers within county councils; the total number of private centers does not increase in county councils using care-need adjusted capitation. The effects are furthermore increasing over the first three years after the implementation of such capitation, and concentrated to the lower and middle range of the group of areas with high index values.Risk-adjusted capitation based on the Care Need Index increases the supply of private primary care centers in areas with unfavorable socioeconomic and demographic characteristics. More generally, this result indicates that risk-adjusted capitation can significantly affect private providers' establishment decisions.

SUBMITTER: Anell A

PROVIDER: S-EPMC5853067 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Does risk-adjusted payment influence primary care providers' decision on where to set up practices?

Anell Anders A Dackehag Margareta M Dietrichson Jens J

BMC health services research 20180314 1

<h4>Background</h4>Providing equal access to health care is an important objective in most health care systems. It is especially pertinent in systems like the Swedish primary care market, where private providers are free to establish themselves in any part of the country. To improve equity in access to care, 15 out 21 county councils in Sweden have implemented risk-adjusted capitation based on the Care Need Index, which increases capitation to primary care centers with a large share of patients ...[more]

PMID: 29540153

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Project description:BackgroundUnderstanding how to implement innovations in primary care practices is key to improve primary health care. Aiming to contribute to this understanding, we investigate the implementation of a clinical decision support system (CDSS) as part of the innovation fund project AdAM (01NVF16006). Originating from complexity theory, the practice change and development model (PCD) proposes several interdependent factors that enable organizational-level change and thus accounts for the complex settings of primary care practices. Leveraging the PCD, we seek to answer the following research questions: Which combinations of internal and external factors based on the PCD contribute to successful implementation in primary care practices? Given these results, how can implementation in the primary care setting be improved?MethodsWe analyzed the joint contributions of internal and external factors on implementation success using qualitative comparative analysis (QCA). QCA is a set-theoretic approach that allows to identify configurations of multiple factors that lead to one outcome (here: successful implementation of a CDSS in primary care practices). Using survey data, we conducted our analysis based on a sample of 224 primary care practices.ResultsWe identified two configurations of internal and external factors that likewise enable successful implementation. The first configuration enables implementation based on a combination of Strong Inside Motivation, High Capability for Development, and Strong Outside Motivation; the second configuration based on a combination of Strong Inside Motivators, Many Options for Development and the absence of High Capability for Development.ConclusionIn line with the PCD, our results demonstrate the importance of the combination of internal and external factors for implementation outcomes. Moreover, the two identified configurations show that different ways exist to achieve successful implementation in primary care practices.Trial registrationAdAM was registered on ClinicalTrials.gov ( NCT03430336 ) on February 6, 2018.

Project description:BACKGROUND:Despite the recommended guidelines on addressing diet for the management and prevention of obesity in primary care, the literature highlights that their implementation has been suboptimal. In this paper, we provide an in-depth understanding of current nutrition-related weight management practices of primary care providers (PCPs) working in relatively new multidisciplinary health care settings in Ontario. METHODS:Three types of multidisciplinary primary care settings were included (2 Family Health Teams, 3 Community Health Centres and 1 Nurse Practitioner-Led Clinic). Participants (n =?20) included in this study were nurse practitioners (n =?13) and family physicians (n =?7) supporting care for adult patients (18 years or older). In-depth interviews were transcribed, coded and the content was analyzed using an integrated approach. RESULTS:Our analysis showed that most PCPs used anthropometric measures such as weight for screening patients who would benefit from nutrition counselling with a dietitian. The topic of nutrition was generally brought up either during physical examinations, when patients were diagnosed with a chronic disease, or when blood markers were out of normal range. Participants also mentioned that physical examinations are no longer occurring annually, with most PCPs offering episodic care. All participants reported utilizing dietetic referrals, noting the enablers for providing the referral, which included access to an on-site dietitian. Nonetheless, dietetic referrals were mostly used when patients had an obesity-related co-morbidity. Participants mentioned that healthy eating advice was reinforced during follow-up visits with patients only when there was enough time to do so. Electronic Health Records (EHRs) were utilized to facilitate message reinforcement by PCPs, who perceived EHRs to be helpful for viewing what was discussed in the session with the dietitian. CONCLUSIONS:PCPs mostly used objective measures to screen for patients who would benefit from nutrition counselling rather than diet assessment, which undermines the importance of dietary intake and overemphasizes weight. With physical examinations occurring less frequently, there will be additional missed opportunities for addressing nutrition-related concerns. The presence of a dietitian on site allowed for PCPs to refer patients to nutrition counselling. Having sufficient time during medical visits and EHRs seemed to facilitate message reinforcement by PCPs in follow-up visits with patients.

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Does risk-adjusted payment influence primary care providers' decision on where to set up practices?

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Does risk-adjusted payment influence primary care providers' decision on where to set up practices?

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