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1.
PLoS One ; 19(6): e0303509, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38900737

RESUMO

BACKGROUND: Emerging evidence suggests that there is an increase in healthcare utilization (HCU) in patients due to Coronavirus Disease 2019 (COVID-19). We investigated the change in HCU pre and post hospitalization among patients discharged home from COVID-19 hospitalization for up to 9 months of follow up. STUDY DESIGN AND METHODS: This retrospective study from a United States cohort used Optum® de-identified Clinformatics Data Mart; it included adults discharged home post hospitalization with primary diagnosis of COVID-19 between April 2020 and March 2021. We evaluated HCU of patients 9 months pre and post -discharge from index hospitalization. We defined HCU as emergency department (ED), inpatient, outpatient (office), rehabilitation/skilled nursing facility (SNF), telemedicine visits, and length of stay, expressed as number of visits per 10,000 person-days. RESULTS: We identified 63,161 patients discharged home after COVID-19 hospitalization. The cohort of patients was mostly white (58.8%) and women (53.7%), with mean age 72.4 (SD± 12) years. These patients were significantly more likely to have increased HCU in the 9 months post hospitalization compared to the 9 months prior. Patients had a 47%, 67%, 65%, and 51% increased risk of ED (rate ratio 1.47; 95% CI 1.45-1.49; p < .0001), rehabilitation (rate ratio 1.67; 95% CI 1.61-1.73; p < .0001), office (rate ratio1.65; 95% CI 1.64-1.65; p < .0001), and telemedicine visits (rate ratio 1.5; 95% CI 1.48-1.54; p < .0001), respectively. We also found significantly different rates of HCU for women compared to men (women have higher risk of ED, rehabilitation, and telemedicine visits but a lower risk of inpatient visits, length of stay, and office visits than men) and for patients who received care in the intensive care unit (ICU) vs those who did not (ICU patients had increased risk of ED, inpatient, office, and telemedicine visits and longer length of stay but a lower risk of rehabilitation visits). Outpatient (office) visits were the highest healthcare service utilized post discharge (64.5% increase). Finally, the risk of having an outpatient visit to any of the specialties studied significantly increased post discharge. Interestingly, the risk of requiring a visit to pulmonary medicine was the highest amongst the specialties studied (rate ratio 3.35, 95% CI 3.26-3.45, p < .0001). CONCLUSION: HCU was higher after index hospitalization compared to 9 months prior among patients discharged home post-COVID-19 hospitalization. The increases in HCU may be driven by those patients who received care in the ICU.


Assuntos
COVID-19 , Hospitalização , Aceitação pelo Paciente de Cuidados de Saúde , Alta do Paciente , Telemedicina , Humanos , COVID-19/epidemiologia , COVID-19/terapia , Feminino , Masculino , Idoso , Alta do Paciente/estatística & dados numéricos , Estudos Retrospectivos , Pessoa de Meia-Idade , Hospitalização/estatística & dados numéricos , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Idoso de 80 Anos ou mais , Serviço Hospitalar de Emergência/estatística & dados numéricos , Estados Unidos/epidemiologia , SARS-CoV-2 , Tempo de Internação , Instituições de Cuidados Especializados de Enfermagem/estatística & dados numéricos
2.
Cureus ; 15(11): e48890, 2023 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-38106740

RESUMO

Background The opioid epidemic is a significant source of morbidity and mortality in the United States of America. Minimizing opioid prescribing after operations has become an important component of post-operative care pathways. We hypothesized that opioid prescribing has decreased over time after colorectal resections. Methods This is a retrospective study from 2012 to 2019 using the Optum Clinformatics database (Eden Prairie, MN). We included patients aged 18 years or older who had an elective colorectal resection. Our primary outcome was the rate of opioid prescription at post-operative discharge. Secondary outcomes included the rates of gabapentinoid (GABA) prescribing post-operatively. Results Of 17,900 patients, the most common procedure was sigmoid colectomy (35%). Most procedures were open (N=10,626, 59.4%). The most common indication was benign disease (N=12,439, 69.5%). Post-operative opioid prescribing decreased from 64.4% in 2012 to 46.7% in 2019. In the adjusted model, the odds of post-operative opioid prescription were 37% lower in 2019 than in 2012 (OR, 0.63; 95% CI, 0.56-0.72; p<0.0001). At 60 days and one year post surgery, opioid prescribing decreased from 11.6% and 5.9% in 2012 to 7.2% and 5.2% in 2019 (p<0.0001). At 60 days, gabapentinoid prescribing increased from 2.3% in 2012 to 4.0% in 2019 (p=0.0016). Conclusions Our data show that opioid prescribing is common after colorectal surgery with an overall post-operative prescription rate of 55.8%. The modification of post-operative pathways to include guidance on opioid prescribing and non-opioid alternatives may curb opioid prescribing, decrease the number of new persistent opioid users, and decrease the number of opioids available for diversion.

3.
Artigo em Inglês | WPRIM (Pacífico Ocidental) | ID: wpr-137254

RESUMO

OBJECTIVES: Disparities in healthcare among minority groups can result in disparate treatments for similar severities of symptoms, unequal access to medical care, and a wide deviation in health outcomes. Such racial disparities may be reduced via use of an Electronic Medical Record (EMR) system. However, there has been little research investigating the impact of EMR systems on the disparities in health outcomes among minority groups. METHODS: This study examined the impact of EMR systems on the following four outcomes of black patients: length of stay, inpatient mortality rate, 30-day mortality rate, and 30-day readmission rate, using patient and hospital data from the Medicare Provider Analysis and Review and the Healthcare Information and Management Systems Society between 2000 and 2007. The difference-in-difference research method was employed with a generalized linear model to examine the association of EMR adoption on health outcomes for minority patients while controlling for patient and hospital characteristics. RESULTS: We examined the association between EMR adoption and the outcomes of minority patients, specifically black patients. However, after controlling for patient and hospital characteristics we could not find any significant changes in the four health outcomes of minority patients before and after EMR implementation. CONCLUSIONS: EMR systems have been reported to support better coordinated care, thus encouraging appropriate treatment for minority patients by removing potential sources of bias from providers. Also, EMR systems may improve the quality of care provided to patients via increased responsiveness to care processes that are required to be more time-sensitive and through improved communication. However, we did not find any significant benefit for minority groups after EMR adoption.


Assuntos
Humanos , Viés , Atenção à Saúde , Registros Eletrônicos de Saúde , Pacientes Internados , Tempo de Internação , Modelos Lineares , Medicare , Grupos Minoritários , Saúde das Minorias , Mortalidade
4.
Artigo em Inglês | WPRIM (Pacífico Ocidental) | ID: wpr-137251

RESUMO

OBJECTIVES: Disparities in healthcare among minority groups can result in disparate treatments for similar severities of symptoms, unequal access to medical care, and a wide deviation in health outcomes. Such racial disparities may be reduced via use of an Electronic Medical Record (EMR) system. However, there has been little research investigating the impact of EMR systems on the disparities in health outcomes among minority groups. METHODS: This study examined the impact of EMR systems on the following four outcomes of black patients: length of stay, inpatient mortality rate, 30-day mortality rate, and 30-day readmission rate, using patient and hospital data from the Medicare Provider Analysis and Review and the Healthcare Information and Management Systems Society between 2000 and 2007. The difference-in-difference research method was employed with a generalized linear model to examine the association of EMR adoption on health outcomes for minority patients while controlling for patient and hospital characteristics. RESULTS: We examined the association between EMR adoption and the outcomes of minority patients, specifically black patients. However, after controlling for patient and hospital characteristics we could not find any significant changes in the four health outcomes of minority patients before and after EMR implementation. CONCLUSIONS: EMR systems have been reported to support better coordinated care, thus encouraging appropriate treatment for minority patients by removing potential sources of bias from providers. Also, EMR systems may improve the quality of care provided to patients via increased responsiveness to care processes that are required to be more time-sensitive and through improved communication. However, we did not find any significant benefit for minority groups after EMR adoption.


Assuntos
Humanos , Viés , Atenção à Saúde , Registros Eletrônicos de Saúde , Pacientes Internados , Tempo de Internação , Modelos Lineares , Medicare , Grupos Minoritários , Saúde das Minorias , Mortalidade
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