Weight of risk factors for adjusting capitation in primary health care: A systematic review

Weight of risk factors for adjusting capitation in primary health care: A systematic review


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دانشگاه علوم پزشکی تبریز
دانشگاه علوم پزشکی تبریز

نویسندگان: علیرضا محبوب اهری , علی خضری , جعفر صادق تبریزی , شیرین نصرت نژاد

کلمات کلیدی: Risk adjustment, Capitation, Risk factor, Systematic review, Health care

نشریه: 23708 , 2022 , 36 , 2022

اطلاعات کلی مقاله
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نویسنده ثبت کننده مقاله شیرین نصرت نژاد
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه دانشکده مدیریت و اطلاع رسانی پزشکی
کد مقاله 78216
عنوان فارسی مقاله Weight of risk factors for adjusting capitation in primary health care: A systematic review
عنوان لاتین مقاله Weight of risk factors for adjusting capitation in primary health care: A systematic review
ناشر 4
آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ بلی
عنوان نشریه (خارج از لیست فوق)
نوع مقاله Systematic Review Article
نحوه ایندکس شدن مقاله ایندکس شده سطح دو – PubMed
آدرس لینک مقاله/ همایش در شبکه اینترنت

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BACKGROUND: Capitation payment is the best known strategy for paying providers in primary health care. Since the health care needs and personal characteristics plays essential role in healthcare utilization and resource spending, there is a growing tendency on risk adjustment models among health researchers. The objective of this systematic review was to examine the weights used for risk adjustment in primary health care capitation payment. METHODS: We systematically searched the electronic databases including Scopus, ProQuest, Web of Science, and PubMed in March 2018. Two authors independently apprised the included articles and also different factors on capitation payments that mentioned in included studies identified, categorized and evaluated. RESULT: A total of 742 articles were identified at first. After the screening process, 12 studies were included in the systematic review. Risk factors for capitation adjustment included age, gender, and income with the weighted average being 1.76 and 1.03, respectively. Moreover, the weighted average disease incidence Adjusted clinical groups (ACGs), Diagnostic cost groups (DCGs), Principal in patient diagnostic cost groups (PIP-DCGs), Hierarchical coexisting conditions (HCCs) was respectively reported as 1.31, 24.7-.99, 10.4-.65, and 11.7-1.01. CONCLUSION: In low-income countries, the most effective factors used in capitation adjustment are age and sex. Moreover, the most applied factor in high-income countries is adjusted clinical groups, and income factors can have a better impact on the reduction of costs in low-income countries. Each country can select its most efficient factors based on the weight of the factor, level of income and geographical condition.

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نویسنده نفر چندم مقاله
علیرضا محبوب اهریدوم
علی خضریاول
جعفر صادق تبریزیسوم
شیرین نصرت نژادچهارم

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نام فایل تاریخ درج فایل اندازه فایل دانلود
MJIRI-v36n1p7-en.pdf1400/12/09632500دانلود