Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Pregnancy Hypertens ; 35: 37-42, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38159437

ABSTRACT

OBJECTIVE: To determine the effect of a remote patient monitoring program for hypertension (RPM HTN) in patients diagnosed with hypertensive disorders of pregnancy. STUDY DESIGN: We used a matched retrospective cohort design to evaluate differences in obstetric and perinatal outcomes using data from electronic medical records. Patients enrolled in RPM HTN between November 1, 2019, and October 31, 2021, who delivered a pregnancy at ≥20 weeks gestation were compared to a cohort of patients matched by age, race, HTN and diabetes status, who delivered in the 48-month period before implementation of RPM HTN. RESULTS: 1030 patients were enrolled in RPM HTN and 937 were matched to historical controls. Five hundred and seventeen (50.2 %) were enrolled in the antepartum period and 513 (49.8 %) were enrolled postpartum. Patients in the RPM HTN cohort were more likely to have a post-hospital discharge blood pressure (BP) measured within the first 20 days after delivery (RR 1.56, 95 % CI: 1.47-1.65: p < 0.01) and were more likely to have that BP be normal (RR 1.43, 95 % CI: 1.31-1.55: p = 0.05). They were also more likely to be taking antihypertensives postpartum (RR 1.27, 95 % CI: 1.15-1.40; p < 0.01) and to be evaluated by an obstetric clinician within 20 days of delivery (RR 1.50, 95 % CI 1.42-1.58; p < 0.01). CONCLUSIONS: A remote HTN monitoring program for 937 obstetric patients was associated with improved BP monitoring, better postpartum BP control, and improved linkages to clinician care after delivery, when compared to historical controls.


Subject(s)
Delivery of Health Care, Integrated , Hypertension , Pre-Eclampsia , Pregnancy , Female , Humans , Retrospective Studies , Hypertension/diagnosis , Hypertension/drug therapy , Monitoring, Physiologic
2.
AJPM Focus ; 2(4): 100133, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37790952

ABSTRACT

Introduction: Albuminuria-an increased amount of urine albumin, in milligrams, adjusted for grams of urine creatinine-is an early marker of diabetic kidney disease. Several new classes of medications are now available that effectively lower albuminuria levels with the potential to delay or prevent the progression of diabetic kidney disease. However, screening for albuminuria in the U.S. is low in population-based studies (<10% to ∼50% at most). In this study, we examine whether screening for albuminuria was improved in an integrated model of healthcare delivery following the recommendations of the National Committee for Quality Assurance mandate (an umbrella group for the managed healthcare industry) to screen for albuminuria. Methods: We examined screening for albuminuria over a 2-year period among people with Type 2 diabetes in a U.S. HMO with an electronic medical record, onto which automated laboratory ordering for albuminuria could be added when a patient appeared at the laboratory (for any reason) if albuminuria testing had not been obtained within the previous 365 days. Participants under this plan received diabetes education at no cost and panel managers to guide their diabetes care. Logistic regression using data from 2020 and 2021, separately, evaluated the relationship between patient characteristics and the likelihood of albuminuria screening. Results: There were 20,688 and 22,487 participants with Type 2 diabetes mellitus in 2020 and 2021, respectively, who were analyzed. Approximately 80% were screened for albuminuria in both years. African American participants and those aged >64 years were more likely to have completed albuminuria screening. Screened individuals had lower HbA1c, blood pressure, and low-density lipoprotein cholesterol levels than those who were not screened. Conclusions: In an integrated healthcare model, it is possible to achieve consistently high rates of albuminuria screening in people with Type 2 diabetes, especially in groups at high risk for kidney disease.

SELECTION OF CITATIONS
SEARCH DETAIL
...