Care Coordination for Dialysis Patients During and After Hospitalization: A Pilot Study.
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ABSTRACT:
SUBMITTER: Park C
PROVIDER: S-EPMC8664747 | biostudies-literature | 2021 Nov-Dec
REPOSITORIES: biostudies-literature
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Care Coordination for Dialysis Patients During and After Hospitalization: A Pilot Study.
Park Christian C Hoge Courtney C Vandenberg Ann E AE Jaar Bernard G BG Lea Janice P JP Plantinga Laura C LC
Kidney medicine 20210819 6
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Project description:BackgroundBoth dialysis facilities and hospitals are accountable for 30-day hospital readmissions among U.S. hemodialysis patients. We examined the association of post-hospitalization processes of care at hemodialysis facilities with pulmonary edema-related and other readmissions.MethodsIn a retrospective cohort comprised of electronic medical record (EMR) data linked with national registry data, we identified unique patient index admissions (n = 1056; 2/1/10-7/31/15) that were followed by ≥3 in-center hemodialysis sessions within 10 days, among patients treated at 19 Southeastern dialysis facilities. Indicators of processes of care were defined as present vs. absent in the dialysis facility EMR. Readmissions were defined as admissions within 30 days of the index discharge; pulmonary edema-related vs. other readmissions defined by discharge codes for pulmonary edema, fluid overload, and/or congestive heart failure. Multinomial logistic regression to estimate odds ratios (ORs) for pulmonary edema-related and other vs. no readmissions.ResultsOverall, 17.7% of patients were readmitted, and 8.0% had pulmonary edema-related readmissions (44.9% of all readmissions). Documentation of the index admission (OR = 2.03, 95% CI 1.07-3.85), congestive heart failure (OR = 1.87, 95% CI 1.07-3.27), and home medications stopped (OR = 1.81, 95% CI 1.08-3.05) or changed (OR = 1.69, 95% CI 1.06-2.70) in the EMR post-hospitalization were all associated with higher risk of pulmonary edema-related vs. no readmission; lower post-dialysis weight (by ≥0.5 kg) after vs. before hospitalization was associated with 40% lower risk (OR = 0.60, 95% CI 0.37-0.96).ConclusionsOur results suggest that some interventions performed at the dialysis facility in the post-hospitalization period may be associated with reduced readmission risk, while others may provide a potential existing means of identifying patients at higher risk for readmissions, to whom such interventions could be efficiently targeted.
| S-EPMC6069998 | biostudies-literature
Project description:BackgroundWe piloted a web-based, provider-driven mobile app (DialysisConnect) to fill the communication and care coordination gap between hospitals and dialysis facilities.ObjectiveThis study aimed to describe the development and pilot implementation of DialysisConnect.MethodsDialysisConnect was developed iteratively with focus group and user testing feedback and was made available to 120 potential users at 1 hospital (hospitalists, advanced practice providers [APPs], and care coordinators) and 4 affiliated dialysis facilities (nephrologists, APPs, nurses and nurse managers, social workers, and administrative personnel) before the start of the pilot (November 1, 2020, to May 31, 2021). Midpilot and end-of-pilot web-based surveys of potential users were also conducted. Descriptive statistics were used to describe system use patterns, ratings of multiple satisfaction items (1=not at all; 3=to a great extent), and provider-selected motivators of and barriers to using DialysisConnect.ResultsThe pilot version of DialysisConnect included clinical information that was automatically uploaded from dialysis facilities, forms for entering critical admission and discharge information, and a direct communication channel. Although physicians comprised most of the potential users of DialysisConnect, APPs and dialysis nurses were the most active users. Activities were unevenly distributed; for example, 1 hospital-based APP recorded most of the admissions (280/309, 90.6%) among patients treated at the pilot dialysis facilities. End-of-pilot ratings of DialysisConnect were generally higher for users versus nonusers (eg, "I can see the potential value of DialysisConnect for my work with dialysis patients": mean 2.8, SD 0.4, vs mean 2.3, SD 0.6; P=.02). Providers most commonly selected reduced time and energy spent gathering information as a motivator (11/26, 42%) and a lack of time to use the system as a barrier (8/26, 31%) at the end of the pilot.ConclusionsThis pilot study found that APPs and nurses were most likely to engage with the system. Survey participants generally viewed the system favorably while identifying substantial barriers to its use. These results inform how best to motivate providers to use this system and similar systems and inform future pragmatic research in care coordination among this and other populations.
| S-EPMC9233252 | biostudies-literature
Project description:BackgroundSelf-administration of medication (SAM) during hospitalization is a complex intervention where patients are involved in their course of treatment. The study aim was to pilot test the SAM intervention. The objectives were to assess the feasibility of conducting a randomized controlled trial on the safety and cost-consequences of SAM during hospitalization.MethodsThe study was performed in a Danish cardiology unit.Patients ≥ 18 years capable of self-administering medication during hospitalization were eligible. Patients were excluded if they did not self-administer medication at home, were incapable of self-administering medication, were not prescribed medication suitable for self-administration, did not bring their medication, or were unable to speak Danish.Feasibility was assessed as part of the pilot study. A future randomized controlled trial was considered feasible if it was possible to recruit 60 patients within 3 months, if outcome measurement method was capable of detecting dispensing errors in both groups, and if patients in the intervention group were more satisfied with the medication management during hospitalization compared to the control group.Forty patients were recruited to gain experience about the intervention (self-administration). Additionally, 20 patients were randomized to the intervention or control group (nurse-led dispensing) to gain experience about the randomization procedure.Dispensing error proportions were based on data collected through disguised observation of patients and nurses during dispensing. The error proportion in the control group was used for the sample size calculation. Patient acceptability was assessed through telephone calls.ResultsOf the 60 patients recruited, one withdrew and 11 were discharged before observation resulting in analysis of 39 patients in the intervention group and nine in the control group. A dispensing error proportion of 3.4% was found in the intervention group and 16.1% in the control group. A total of 91.7% of patients in the intervention group and 66.7% in the control group were highly satisfied with the medication management during hospitalization. The overall protocol worked as planned. Minor changes in exclusion criteria, intervention, and outcome measures were considered.ConclusionsIt may be feasible to perform a pragmatic randomized controlled trial of the safety and cost-consequences of self-administration of medication during hospitalization.Trial registrationClinicalTrials.gov, NCT03541421, retrospectively registered on 30 May 2018.
| S-EPMC7433129 | biostudies-literature
Project description:BACKGROUND:Hospitalization for cardiovascular disease (CVD) is common among patients receiving maintenance dialysis, but patterns of readmissions following cardiovascular events are underexplored. METHODS AND RESULTS:In this retrospective analysis of prevalent, Medicare-eligible patients receiving dialysis in 2012-2013, all live-discharge hospitalizations attributed to CVD were ascertained. Rates of all-cause, CVD-related, and non-CVD-related readmissions and death in the ensuing 10 and 30 days were calculated. Multinomial logistic modeling was used to assess the relationship between potential explanatory factors and outcomes of interest. Among 142 210 analyzed hospitalizations, mean age at time of index CVD hospitalization was 64.9±14.1 years; 50.4% of index hospitalizations were for women, and 41.4% were for white patients. Fully 15.6% and 34.2% of CVD hospitalizations resulted in readmission within 10 and 30 days, respectively; less than half of readmissions were CVD related (42.5%, 10 days; 43.1%, 30 days). Death within 30 days, regardless of readmission, occurred after 4.5% of index hospitalizations; 51.2% were attributed to CVD. Compared with ages 65 to 69 years, younger age tended to be associated with increased readmission risk (adjusted relative risk for ages 18-44 years: 1.55; 95% confidence interval, 1.48-1.63). Readmission risk did not differ between white and black patients, but risk of death without readmission was markedly lower for black patients (relative risk: 0.60; 95% confidence interval, 0.55-0.67). CONCLUSIONS:Roughly 1 in 3 CVD hospitalizations resulted in 30-day readmission; nearly 1 in 20 was followed by death within 30 days. Risk of death without readmission was higher for white than black patients, despite no difference in risk of readmission.
| S-EPMC5850182 | biostudies-literature
Project description:Prior studies have shown the association of low serum magnesium levels with adverse health outcomes in patients undergoing hemodialysis. There is a paucity of such studies in patients undergoing peritoneal dialysis (PD).Cohort study.10,692 patients treated with PD from January 1, 2007, through December 31, 2011, in facilities operated by a single large dialysis organization in the United States.Baseline serum magnesium levels, examined as 5 categories (<1.8, 1.8-<2.0, 2.0-<2.2 [reference], 2.2-<2.4, and ?2.4mg/dL).Time to first hospitalization and time to death using competing-risks regression models.The distribution of baseline serum magnesium levels in the cohort was <1.8mg/dL, 1,928 (18%); 1.8 to <2.0mg/dL, 2,204 (21%); 2.0 to <2.2mg/dL, 2,765 (26%); 2.2 to <2.4mg/dL, 1,765 (16%); and ?2.4mg/dL, 2,030 (19%). Of 10,692 patients, 6,465 (60%) were hospitalized at least once and 1,392 (13%) died during follow-up (median, 13; IQR, 7-23 months). Baseline serum magnesium level < 1.8mg/dL was associated with higher risk for hospitalization and all-cause mortality after adjustment for demographic and clinical characteristics (adjusted HRs of 1.23 [95% CI, 1.14-1.33] and 1.21 [95% CI, 1.03-1.42], respectively). The higher risk for hospitalization persisted upon adjustment for laboratory variables, whereas that for all-cause mortality was attenuated to a nonsignificant level. The greatest risk for hospitalization was in patients with low serum albumin levels (<3.5g/dL; P for interaction < 0.001).Possibility of residual confounding by unmeasured variables cannot be excluded.Lower serum magnesium levels may be associated with higher risk for hospitalization in incident PD patients, particularly those with hypoalbuminemia. Additional studies are needed to confirm these findings and investigate whether correction of hypomagnesemia reduces these risks.
| S-EPMC5035573 | biostudies-literature
Project description:BackgroundImproving a patient's experience with their care through an online interface for communication (an eHealth patient portal) has been shown to be beneficial in some studies of chronic disease populations. However, little is known about the effectiveness of an eHealth portal for delivery of care to home dialysis patients.ObjectivesPrimary: To determine whether an eHealth portal is effective at improving a patient's experience with their home dialysis care. Secondary: (1) To determine whether an eHealth portal improves health-related quality of life for home dialysis patients, (2) to assess patient satisfaction with an eHealth portal and perceived impact on aspects of their home dialysis therapy and health, (3) to determine the acceptability of the eHealth portal software, and (4) to determine the change in telephone usage for communication after patient adoption of an eHealth portal.DesignSingle-arm pilot trial with recruitment over a 4-month period.SettingThe multidisciplinary home dialysis clinic in Halifax Nova Scotia Canada.PatientsAdults (>18 years) receiving either home hemodialysis or peritoneal dialysis.MeasurementsConsumer quality index (CQI), health-related quality of life using the EuroQol Five Dimensions Questionnaire (EQ-5D), acceptability of the eHealth portal software (using the Acceptability E-scale), and satisfaction/perceived impact (using a modified questionnaire).MethodsA web-based application (McKesson, Canada, RelayHealth®) allowed patients and health care workers to communicate through a secure, password-protected online portal that permitted visualization of the messaging history by patient and provider. Patients and the home dialysis health care team had the ability to send messages related to patient care at any time including proposed changes to medication, instructions after a clinic visit, times of new appointments, upcoming investigations, or questions about care. Patient experience with home dialysis care using the CQI, health-related quality of life using the EQ-5D, acceptability of the eHealth portal software, and satisfaction/perceived impact were assessed at baseline, 6, and 12 months of follow-up (where applicable). Total minutes of telephone communication was assessed prior to and after adoption of the portal.ResultsOf the 41 patients who consented to join the portal, 27 (66%) created an online account. At baseline, patients had a positive experience for the care and communication provided by their nephrologist (CQI: 3.63, 95% confidence interval [CI]: 3.50-3.76) and this did not change significantly over the study period. Similar results were observed for the care provided by other nephrology health care team members. Health-related quality of life using the EQ-5D score was 0.80 (interquartile range [IQR]: 0.71-0.83) at baseline and this also did not significantly change over the study period. Patients were satisfied with the eHealth portal (mean Likert scale score of 6.5 ± 0.6 in overall satisfaction, scale ranging from 1 completely dissatisfied to 10 completely satisfied), but only a minority (N = 12) completed a satisfaction questionnaire. Median monthly phone usage decreased from 12.5 to 10 minutes (P = .02) after adoption of the portal.LimitationsThe study is limited by the small sample size, high rate of patient dropout, and limited response rate.ConclusionsIn this study of home dialysis patients, we identified that an eHealth communication did not lead to significant improvements in patient experience with home dialysis care.Trial registrationClinicalTrials.gov number NCT02128347.
| S-EPMC6130084 | biostudies-literature
Project description: Not available
| S-EPMC10811926 | biostudies-literature
Project description:BackgroundScalable and safe approaches for heart failure guideline-directed medical therapy (GDMT) optimization are needed.ObjectivesThe authors assessed the safety and effectiveness of a virtual care team guided strategy on GDMT optimization in hospitalized patients with heart failure with reduced ejection fraction (HFrEF).MethodsIn a multicenter implementation trial, we allocated 252 hospital encounters in patients with left ventricular ejection fraction ≤40% to a virtual care team guided strategy (107 encounters among 83 patients) or usual care (145 encounters among 115 patients) across 3 centers in an integrated health system. In the virtual care team group, clinicians received up to 1 daily GDMT optimization suggestion from a physician-pharmacist team. The primary effectiveness outcome was in-hospital change in GDMT optimization score (+2 initiations, +1 dose up-titrations, -1 dose down-titrations, -2 discontinuations summed across classes). In-hospital safety outcomes were adjudicated by an independent clinical events committee.ResultsAmong 252 encounters, the mean age was 69 ± 14 years, 85 (34%) were women, 35 (14%) were Black, and 43 (17%) were Hispanic. The virtual care team strategy significantly improved GDMT optimization scores vs usual care (adjusted difference: +1.2; 95% CI: 0.7-1.8; P < 0.001). New initiations (44% vs 23%; absolute difference: +21%; P = 0.001) and net intensifications (44% vs 24%; absolute difference: +20%; P = 0.002) during hospitalization were higher in the virtual care team group, translating to a number needed to intervene of 5 encounters. Overall, 23 (21%) in the virtual care team group and 40 (28%) in usual care experienced 1 or more adverse events (P = 0.30). Acute kidney injury, bradycardia, hypotension, hyperkalemia, and hospital length of stay were similar between groups.ConclusionsAmong patients hospitalized with HFrEF, a virtual care team guided strategy for GDMT optimization was safe and improved GDMT across multiple hospitals in an integrated health system. Virtual teams represent a centralized and scalable approach to optimize GDMT.
| S-EPMC10947307 | biostudies-literature
Project description:Rationale & objectiveThe coronavirus disease 2019 (COVID-19) pandemic has had a profound impact on hospitalizations in general and on dialysis patients in particular. This study modeled the impact of COVID-19 on hospitalizations of dialysis patients in 2020.Study designRetrospective cohort study.Setting & participantsMedicare patients on dialysis in calendar year 2020.PredictorsCOVID-19 status was divided into 4 stages: COVID1 (first 10 days after initial diagnosis), COVID2 (extends until the Post-COVID stage), Post-COVID (after 21 days with no COVID-19 diagnosis), and Late-COVID (begins after a hospitalization with a COVID-19 diagnosis); demographic and clinical characteristics; and dialysis facilities.OutcomeThe sequence of hospitalization events.Analytical approachA proportional rate model with a nonparametric baseline rate function of calendar time on the study population.ResultsA total of 509,609 patients were included in the study, 63,521 were observed to have a SARS-CoV-2 infection, 34,375 became Post-COVID, and 1,900 became Late-COVID. Compared with No-COVID, all 4 stages had significantly greater adjusted risks of hospitalizations with relative rates of 18.50 (95% CI, 18.19-18.81) for COVID1, 2.03 (95% CI, 1.99-2.08) for COVID2, 1.37 (95% CI, 1.35-1.40) for Post-COVID, and 2.00 (95% CI, 1.89-2.11) for Late-COVID.LimitationsFor Medicare Advantage patients, we only had inpatient claim information. The analysis was based on data from the year 2020, and the effects may have changed due to vaccinations, new treatments, and new variants. The COVID-19 effects may be somewhat overestimated due to missing information on patients with few or no symptoms and possible delay in COVID-19 diagnosis.ConclusionsWe discovered a marked time dependence in the effect of COVID-19 on hospitalization of dialysis patients, beginning with an extremely high risk for a relatively short period, with more moderate but continuing elevated risks later, and never returning to the No-COVID level.
| S-EPMC9398821 | biostudies-literature
Project description:ObjectiveThe aim of this study was to evaluate the feasibility and preliminary effects of a multicomponent intervention to decrease sedentary time during and shortly after hospitalization.DesignThis is a quasi-experimental pilot study comparing outcomes in patients admitted before and after the implementation of the intervention.SettingThe study was conducted in a university hospital.SubjectsParticipants were adult patients undergoing elective organ transplantation or vascular surgery.InterventionsIn the control phase, patients received usual care, whereas in the intervention phase, patients also received a multicomponent intervention to decrease sedentary time. The intervention comprised eight elements: paper and digital information, an exercise movie, an activity planner, a pedometer and Fitbit Flex™, a personal activity coach and an individualized digital training program.MeasuresMeasures of feasiblity were the self-reported use of the intervention components (yes/no) and satisfaction (low-high = 0-10). Main outcome measure was the median % of sedentary time measured by an accelerometer worn during hospitalization and 7-14 days thereafter.ResultsA total of 42 controls (mean age = 59 years, 62% male) and 52 intervention patients (58 years, 52%) were included. The exercise movie, paper information and Fitbit Flex were the three most frequently used components, with highest satisfaction scores for the fitbit, paper information, exercise movie and digital training. Median sedentary time decreased from 99.6% to 95.7% and 99.3% to 91.0% between Days 1 and 6 in patients admitted in the control and intervention phases, respectively. The difference at Day 6 reached statistical significance (difference = 41 min/day, P = 0.01). No differences were seen after discharge.ConclusionImplementing a multicomponent intervention to reduce sedentary time appeared feasible and may be effective during but not directly after hospitalization.
| S-EPMC7472834 | biostudies-literature