Healthcare Utilization Among Patients Diagnosed with COVID-19 in a Large Integrated Health System

Moms in motion: Predicting healthcare utilization patterns among mothers in Newfoundland and Labrador

Mothers have a significant influence on family dynamics, child development, and access to family services. There is a lack of literature on the typical Canadian maternal experience and its influence on access to services for mothers despite recognizing the importance of mothers. A cross-sectional study was conducted to address this research gap that employed Andersen's Behavioral Model of Health Service Use in conjunction with a feminist lens. A total of 1,082 mothers who resided in Newfoundland and Labrador (NL) participated in a province-wide survey in 2017 and reported on their wellbeing, family life, and healthcare utilization. Stepwise binomial logistic regressions and linear regressions were used to predict initiation and continued service utilization within the preceding 12 months, respectively. Mothers who participated in this survey were older, and were more likely to be in a relationship than those in the Canadian census, while no difference was observed in annual income. Approximately half of mothers accessed services for themselves over the previous 12-months, with the overwhelming majority accessing services for their children. Medical services were the most likely to be utilized, and mental health and behavioural services were the most likely services to be needed, but not available. Sociodemographic (e.g., age, education attainment), familial relationships and role satisfaction, health need, and health practices predicted maternal initiation and continued use of services, with a larger number of variables influencing maternal service initiation as compared to continuous use of services. Sociodemographic (e.g., maternal age, community population), maternal social support, health need, and maternal health practices predicted maternal access of at least one child service while family relationships, health need, and maternal health practices predicted maternal use of a range of child services conditional on initial access. These results can support the provincial health system to better support access to care by acknowledging the interdependent nature of maternal and child health care utilization. They also highlight the importance of equitable healthcare access in rural locations. Results are discussed in terms of their clinical relevance to health policy.

Negative effects of high public debt on health systems facing pandemic crisis: Lessons from COVID-19 in Europe to prepare for future emergencies

The investigation goal here was to analyze how the level of public debt affects preparedness of health systems to face emergencies. In particular, this study examined the negative effects of high public debt on health systems of European countries in the presence of the COVID-19 pandemic crisis. Empirical evidence revealed that European countries with a lower level of government debt as a percentage of GDP both in 2009 and 2019 (the period before the arrival of the pandemic) had lower COVID-19 fatality rates compared to countries with higher levels of public debt. The explanation is that high levels of public debt in countries trigger budget constraints that limit their ability to allocate resources to healthcare systems (e.g., health expenditures and investments), weakening health system performance and causing systemic vulnerability and lower preparedness during emergencies, such as with the COVID-19 pandemic. Implications of health policies are suggested to improve strategies of crisis management.

Impact of the COVID-19 Pandemic on Health Care Utilization in the Vaccine Safety Datalink: Retrospective Cohort Study

BACKGROUND

Understanding the long-term impact of the COVID-19 pandemic on health care utilization is important to health care organizations and policy makers for strategic planning, as well as to researchers when designing studies that use observational electronic health record data during the pandemic period.

OBJECTIVE

This study aimed to evaluate the changes in health care utilization across all care settings among a large, diverse, and insured population in the United States during the COVID-19 pandemic.

METHODS

We conducted a retrospective cohort study within 8 health care organizations participating in the Vaccine Safety Datalink Project using electronic health record data from members of all ages from January 1, 2017, to December 31, 2021. The visit rates per person-year were calculated monthly during the study period for 4 health care settings combined as well as by inpatient, emergency department (ED), outpatient, and telehealth settings, both among all members and members without COVID-19. Difference-in-difference analysis and interrupted time series analysis were performed to assess the changes in visit rates from the prepandemic period (January 2017 to February 2020) to the early pandemic period (April-December 2020) and the later pandemic period (July-December 2021), respectively. An exploratory analysis was also conducted to assess trends through June 2023 at one of the largest sites, Kaiser Permanente Southern California.

RESULTS

The study included more than 11 million members from 2017 to 2021. Compared with the prepandemic period, we found reductions in visit rates during the early pandemic period for all in-person care settings. During the later pandemic period, overall use reached 8.36 visits per person-year, exceeding the prepandemic level of 7.49 visits per person-year in 2019 (adjusted percent change 5.1%, 95% CI 0.6%-9.9%); inpatient and ED visits returned to prepandemic levels among all members, although they remained low at 0.095 and 0.241 visits per person-year, indicating a 7.5% and 8% decrease compared to pre-pandemic levels among members without COVID-19, respectively. Telehealth visits, which were approximately 42% of the volume of outpatient visits during the later pandemic period, were increased by 97.5% (95% CI 86.0%-109.7%) from 0.865 visits per person-year in 2019 to 2.35 visits per person-year in the later pandemic period. The trends in Kaiser Permanente Southern California were similar to those of the entire study population. Visit rates from January 2022 to June 2023 were stable and appeared to be a continuation of the use levels observed at the end of 2021.

CONCLUSIONS

Telehealth services became a mainstay of the health care system during the late COVID-19 pandemic period. Inpatient and ED visits returned to prepandemic levels, although they remained low among members without evidence of COVID-19. Our findings provide valuable information for strategic resource allocation for postpandemic patient care and for designing observational studies involving the pandemic period.

Evaluation of an outreach programme for patients with COVID-19 in an integrated healthcare delivery system: a retrospective cohort study

OBJECTIVES

In the first year of the COVID-19 pandemic, health systems implemented programmes to manage outpatients with COVID-19. The goal was to expedite patients' referral to acute care and prevent overcrowding of medical centres. We sought to evaluate the impact of such a programme, the COVID-19 Home Care Team (CHCT) programme.

DESIGN

Retrospective cohort.

SETTING

Kaiser Permanente Northern California.

PARTICIPANTS

Adult members before COVID-19 vaccine availability (1 February 2020-31 January 2021) with positive SARS-CoV-2 tests.

INTERVENTION

Virtual programme to track and treat patients with 'CHCT programme'.

OUTCOMES

The outcomes were (1) COVID-19-related emergency department visit, (2) COVID-19-related hospitalisation and (3) inpatient mortality or 30-day hospice referral.

MEASURES

We estimated the average effect comparing patients who were and were not treated by CHCT. We estimated propensity scores using an ensemble super learner (random forest, XGBoost, generalised additive model and multivariate adaptive regression splines) and augmented inverse probability weighting.

RESULTS

There were 98 585 patients with COVID-19. The majority were followed by CHCT (n=80 067, 81.2%). Patients followed by CHCT were older (mean age 43.9 vs 41.6 years, p<0.001) and more comorbid with COmorbidity Point Score, V.2, score ≥65 (1.7% vs 1.1%, p<0.001). Unadjusted analyses showed more COVID-19-related emergency department visits (9.5% vs 8.5%, p<0.001) and hospitalisations (3.9% vs 3.2%, p<0.001) in patients followed by CHCT but lower inpatient death or 30-day hospice referral (0.3% vs 0.5%, p<0.001). After weighting, there were higher rates of COVID-19-related emergency department visits (estimated intervention effect -0.8%, 95% CI -1.4% to -0.3%) and hospitalisation (-0.5%, 95% CI -0.9% to -0.1%) but lower inpatient mortality or 30-day hospice referral (-0.5%, 95% CI -0.7% to -0.3%) in patients followed by CHCT.

CONCLUSIONS

Despite CHCT following older patients with higher comorbidity burden, there appeared to be a protective effect. Patients followed by CHCT were more likely to present to acute care and less likely to die inpatient.

Latinx LGBTQ Youth, COVID-19, and Psychological Well-Being: A Systematic Review

OBJECTIVE

As a result of the COVID-19 pandemic, Latinx youth report high rates of negative mental health outcomes such as anxiety and depression. Similarly, research with lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth have documented increased negative mental health outcomes such as depression and anxiety as a result of the COVID-19 pandemic. However, the current literature has yet to systematically uncover the intersectional experiences of Latinx LGBTQ youth during this time.

METHOD

We conducted a systematic review to uncover the experiences of Latinx LGBTQ youth during the pandemic. Our systematic review resulted in 14 empirical studies that explored the challenges, stressors, and impact of the COVID-19 pandemic on Latinx LGBTQ youth.

RESULTS

Findings revealed that most studies include cisgender, gender binary, heterosexual, Latinx youth. Findings across studies include: (a) impact from school closures, (b) pandemic stressors, (c) impact from online media, (d) family and Latinx cultural values as a source of support and stress, and (e) the implementation and evaluation of interventions during the COVID-19 pandemic.

DISCUSSION

We provide recommendations for clinicians working with Latinx LGBTQ youth including expanding their knowledge about the impact of the COVID-19 pandemic on these communities, considering the experiences of Latinx LGBTQ youth as multifaceted, and considering the role of heterogeneity in the mental health of Latinx LGBTQ Youth.

Disease and social factors associated with healthcare utilization for the treatment of SARS-CoV-2 infections in a longitudinal cohort of essential workers in Arizona

BACKGROUND

Demands on health systems due to COVID-19 are substantial, but drivers of healthcare utilization are not well defined in non-severe SARS-CoV-2 infections. Among a prospective cohort of frontline workers from July 2020 to February 2023, we assessed predictors of healthcare utilization during SARS-CoV-2 infection.

METHODS

Weekly specimens tested via real-time reverse transcriptase polymerase chain reaction analysis. Participants reported sociodemographic, health status information, and illness experience information. Primary outcome was healthcare utilization during SARS-CoV-2 infection. Predictors included sociodemographic characteristics, baseline health status, and measures of illness severity. Multivariable logistic regression was utilized to generate odds ratios for predictors of healthcare utilization.

RESULTS

1,923 SARS-CoV-2 infections (1,276 first infections and 647 reinfections from 4,208 participants): 1221 (63.5%) individuals were between 40 and 65 years old; 1115 (58.0%) were female; 449 (23.3%) were Hispanic and 1305 (67.9%) non-Hispanic White. 294 (15.3%) individuals sought medical care during first infection, 106 (5.5%) during reinfection. Sociodemographic and baseline health characteristics were not associated with healthcare utilization during infections from any variant for first infections, while age (OR 1.04, 95%CI 1.01-1.07) was during Omicron reinfection. In first infection, number of symptoms (OR 1.16, 95%CI 1.00-1.36 in Origin/Alpha, OR 1.12, 95%CI 1.00-1.49 in Delta, OR 1.09, 95%CI 1.01-1.16 in Omicron), number of days spent in bed (OR 1.13, 95%CI 1.02-1.33 in Origin/Alpha, OR 1.23, 95%CI 1.00-1.59 in Delta, OR 1.12, 95%CI 1.03-1.22 in Omicron), and illness duration (OR 1.01, 95%CI 1.00-1.04 in Origin/Alpha, OR 1.01, 95%CI 1.00-1.03 in Delta, OR 1.01, 95%CI 1.00-1.02 in Omicron) were related to healthcare utilization for all variants. Number of days in bed (OR 1.12, 95%CI 1.01-1.27), illness duration (OR 1.01, 95%CI 1.00-1.02), and hours of work missed (OR 2.24, 95%CI 1.11-4.74) were positively associated with healthcare utilization during Omicron reinfection.

CONCLUSION

The main factors associated with healthcare utilization for SARS-CoV-2 infection were symptom severity and duration. Practices and therapeutics aimed at decreasing these factors would be most helpful in easing the burden on health systems.

Accessing Care Services for Long COVID Sufferers in Alberta, Canada: A Random, Cross-Sectional Survey Study

Designing appropriate rehabilitation programs for long COVID-19 remains challenging. The purpose of this study was to explore the patient experience of accessing long COVID-19 rehabilitation and recovery services. In this cross-sectional, observational study, a telephone survey was administered to a random sample of persons with long COVID-19 in a Canadian province. Participants included adults who tested positive for COVID-19 between March and October 2021. Survey respondents (n = 330) included individuals who had been previously hospitalized for COVID-19 (n = 165) and those who had not been hospitalized ('non-hospitalized') for COVID-19 (n = 165). Significantly more previously hospitalized respondents visited a family doctor for long COVID-19 symptoms compared to non-hospitalized respondents (hospitalized: n = 109 (66.1%); non-hospitalized: n = 25 (15.2%); (p < 0.0001)). Previously hospitalized respondents reported significantly more referrals to specialty healthcare providers for long COVID-19 sym`ptoms (hospitalized: n = 45 (27.3%); non-hospitalized: n = 6 (3.6%); (p < 0.001)). A comparable number of respondents in both groups accessed care services that did not require a referral to manage their long COVID-19 symptoms (hospitalized: n = 31 (18.8%); non-hospitalized: n = 20 (12.1%); (p = 0.20)). These findings demonstrate the diversity of recovery services used by individuals with long COVID-19 and emphasize the need for multidisciplinary long COVID-19 rehabilitation and recovery care pathways.

The impact of general and central obesity for all-cause hospitalization among Iranian adults: a 20 year follow-up-results from the TLGS cohort

BACKGROUND

Few studies have examined the effect of obesity indices on total number of hospitalizations. We examined the associations between body mass index (BMI) and waist circumference (WC) and rate of all-cause hospitalizations among Iranian adult participated in the Tehran Lipid and Glucose Study cohort.

METHODS

This study included 8202 individuals (3727 men) aged ≥ 30 years, who were followed for a median of 18 years. Participants were categorized into three groups according to their baseline BMI: normal weight, overweight and obese. In addition, they were classified according to WC in two categories: normal WC and high WC. Negative Binomial regression model was used to estimate the incidence rate ratios (IRRs) and 95% confidence interval (95% CI) of all-cause hospitalizations in relation to obesity indices.

RESULTS

The overall crude rate of all-cause hospitalizations were 77.6 (95% CI, 73.9-81.2) and 76.9 (73.4-80.3) per 1000 person-year in men and women, respectively. The covariate adjusted rate of all-cause hospitalizations was 27% higher in obese men than normal weight men (IRR (95% CI): 1.27 (1.11-1.42)). Among women, overweight and obese individuals had 17% (1.17 (1.03-1.31)) and 40% (1.40 (1.23-1.56)) higher rate of hospitalization compared to normal weight women. Having high WC was associated with 18% (1.18 (1.08-1.29)) and 30% (1.30 (1.18-1.41)) higher rate of all-cause hospitalization in men and women, respectively.

CONCLUSIONS

Obesity and high WC were associated with increased hospitalization rates during long-term follow-up. Our findings suggests that successful obesity prevention programs may decrease the number of hospitalizations, particularly, in women.

A Survey to Assess Primary Care Physician Awareness of Complications Following Critical Illness

Background: Survivors of critical illness are at risk for post-intensive care syndrome (PICS, comprised of physical dysfunction, cognitive impairment, and neuropsychiatric disorders including anxiety, depression, and post-traumatic stress). Their family members and caregivers are at risk for PICS-F (PICS-family, comprised of anxiety, depression, post-traumatic stress). PICS and PICS-F are increasingly recognized in critical care; however, the awareness among primary providers of the domains and the terms of PICS/PICS-F is unknown. Objectives: To determine current practice patterns and knowledge among primary care physicians in regards to patients recovering from critical illness; to determine barriers to care of post-critically ill patients. Methods: A paper and electronic survey were developed and randomly distributed to a subset of North Carolina primary care physicians. Survey questions consisted of the following domains: demographics, current practice, barriers to providing care, knowledge of common issues/complications following critical illness, and interest in changing care for survivors of critical illness. Results: One hundred and ninety-six surveys were delivered and 77 completed surveys (39% response rate) were analyzed. Respondents confirmed significant barriers to care of post-critically ill patients including lack of awareness of PICS/PICS-F terminology, insufficient time to spend with patients, and inadequate education of patients/families about recovery after critical illness. Fifty-seven percent of respondents thought a specialized transitional post-ICU clinic would be helpful. Sixty-two percent reported feeling comfortable caring for patients after a critical illness and 75% felt they were aware of common problems encountered after critical illness. However, 84% also thought more education about PICS/PICS-F would be helpful as would a list of common problems seen after critical illness (91%). Conclusions: Significant gaps and barriers to providing optimal post-ICU care by PCPs exist. Providers identified time constraints and educational gaps as domains needing attention. Dedicated post-ICU clinics might provide a bridge to transition care post-critical illness back to primary care providers.

Trends in Outpatient Visits and Hospital and Intensive Care Unit Admissions of Adults With COVID-19 in an Integrated US Health Care System, March 2020 to January 2022

This cohort study of patients at a single integrated health system examines trends in COVID-19–related treatment location and mortality.

The potential clinical impact and cost-effectiveness of the updated COVID-19 mRNA fall 2023 vaccines in the United States

AIMS

To assess the potential clinical impact and cost-effectiveness of COVID-19 mRNA vaccines updated for fall 2023 in adults aged ≥18 years over a 1-year analytic time horizon (September 2023-August 2024).

MATERIALS AND METHODS

A compartmental Susceptible-Exposed-Infected-Recovered model was updated to reflect COVID-19 cases in summer 2023. The numbers of symptomatic infections, COVID-19-related hospitalizations and deaths, and costs and quality-adjusted life-years (QALYs) gained were calculated using a decision tree model. The incremental cost-effectiveness ratio (ICER) of a Moderna updated mRNA fall 2023 vaccine (Moderna Fall Campaign) was compared to no additional vaccination. Potential differences between the Moderna and the Pfizer-BioNTech fall 2023 vaccines were also examined.

RESULTS

Base case results suggest that the Moderna Fall Campaign would decrease the expected 64.2 million symptomatic infections by 7.2 million (11%) to 57.0 million. COVID-19-related hospitalizations and deaths are expected to decline by 343,000 (-29%) and 50,500 (-33%), respectively. The Moderna Fall Campaign would increase QALYs by 740,880 and healthcare costs by $5.7 billion relative to no vaccine, yielding an ICER of $7700 per QALY gained. Using a societal cost perspective, the ICER is $2100. Sensitivity analyses suggest that vaccine effectiveness, COVID-19 incidence, hospitalization rates, and costs drive cost-effectiveness. With a relative vaccine effectiveness of 5.1% for infection and 9.8% for hospitalization for the Moderna vaccine versus the Pfizer-BioNTech vaccine, use of the Moderna vaccine is expected to prevent 24,000 more hospitalizations and 3300 more deaths than the Pfizer-BioNTech vaccine.

LIMITATIONS AND CONCLUSIONS

As COVID-19 becomes endemic, future incidence, including patterns of infection, are highly uncertain. The effectiveness of fall 2023 vaccines is unknown, and it is unclear when a new variant that evades natural or vaccine immunity will emerge. Despite these limitations, our model predicts the Moderna Fall Campaign vaccine is highly cost-effective across all sensitivity analyses.

Long-haul COVID: healthcare utilization and medical expenditures 6 months post-diagnosis

Background

Despite extensive evidence that COVID-19 symptoms may persist for up to a year, their long-term implications for healthcare utilization and costs 6 months post-diagnosis remain relatively unexplored. We examine patient-level association of COVID-19 diagnosis association of COVID-19 diagnosis with average monthly healthcare utilization and medical expenditures for up to 6 months, explore heterogeneity across age groups and determine for how many months post-diagnosis healthcare utilization and costs of COVID-19 patients persist above pre-diagnosis levels.

Methods

This population-based retrospective cohort study followed COVID-19 patients’ healthcare utilization and costs from January 2019 through March 2021 using claims data provided by the COVID-19 Research Database. The patient population includes 250,514 individuals infected with COVID-19 during March-September 2020 and whose last recorded claim was not hospitalization with severe symptoms. We measure the monthly number and costs of total visits and by telemedicine, preventive, urgent care, emergency, immunization, cardiology, inpatient or surgical services and established patient or new patient visits.

Results

The mean (SD) total number of monthly visits and costs pre-diagnosis were .4783 (4.0839) and 128.06 (1182.78) dollars compared with 1.2078 (8.4962) visits and 351.67 (2473.63) dollars post-diagnosis. COVID-19 diagnosis associated with .7269 (95% CI, 0.7088 to 0.7449 visits; P < .001) more total healthcare visits and an additional $223.60 (95% CI, 218.34 to 228.85; P < .001) in monthly costs. Excess monthly utilization and costs for individuals 17 years old and under subside after 5 months to .070 visits and $2.77, persist at substantial levels for all other groups and most pronounced among individuals age 45–64 (.207 visits and $73.43) and 65 years or older (.133 visits and $60.49).

Conclusions

This study found that COVID-19 diagnosis was associated with increased healthcare utilization and costs over a six-month post-diagnosis period. These findings imply a prolonged burden to the US healthcare system from medical encounters of COVID-19 patients and increased spending.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08387-3.