Assessment of the impact of the COVID-19 pandemic on health services use

Equivalence of electronic health record data for measuring hypertension prevalence: a retrospective comparison to BRFSS with data from two Indiana health systems, 2021

BACKGROUND

Public health surveillance requires timely access to actionable data at every level. Current approaches for accessing chronic disease surveillance data are not sufficient, and health departments are increasingly looking to augment surveillance efforts using electronic health records (EHRs). While proven effective for acute syndromic surveillance, the utilization of EHR systems and health data networks for monitoring chronic conditions remains sparse. This study tested the generalizability of a previously validated hypertension computable phenotype.

METHODS

A previously developed phenotype was used to estimate prevalence of hypertension in a geographically and clinically distinct region from its development. To test validity, the results were compared to available, statewide Behavioral Risk Factor Surveillance System (BRFSS) data using the two one-sided t-test (TOST) of equivalence between BRFSS- and EHR-based prevalence estimates. The TOST was performed at the overall level as well as stratified by age, gender, and race/ethnicity.

RESULTS

Compared to statewide hypertension prevalence of 34.5% in the BRFSS, an EHR-based phenotype estimated an overall prevalence of 24.1%. Estimates were not equivalent overall or across most subpopulations. Like BRFSS, we observed higher prevalence among Black men and women as well as increasing prevalence with age.

CONCLUSION

With caveats, this study demonstrates that EHR-derived prevalence estimates may serve as a complement for population-based survey estimates. Utilizing available EHR data should increase timeliness of surveillance as well as enhance the ability of states and local health agencies to more readily address the burden of chronic disease in their respective jurisdictions.

Development and Feasibility Study of a Triage Tool for Early Referral to Spinal Cord Stimulation for Patients With Chronic Low Back and Leg Pain

BACKGROUND

In recent years, delayed elective care and growing waiting lists increasingly resulted in postponed surgeries for patients with chronic back and leg pain.

OBJECTIVE

To develop, implement, and evaluate the feasibility of a triage tool for patients with chronic back and/or leg pain to identify those eligible for referral to spinal cord stimulation (SCS) consultation.

METHODS

A triage tool was developed, based on Dutch SCS guidelines, literature review and expert panel consultation. The triage process was detected and implemented in collaboration with a multidisciplinary team, prior to first orthopaedic consultation. Feasibility, reliability and predictive accuracy were analysed as part of the evaluation of the triage tool.

RESULTS

The triage indicators included: Pain location (leg/mixed), DN4 > 3, pain duration ≥ 3 months, leg pain ≥ back pain and NPRS leg pain ≥ 5. The triage tool was applied on patients on the orthopaedic waiting list, followed by a full orthopaedic review if they were not excluded. A total of 1025 orthopaedic patients with chronic back and leg pain were assessed with the triage tool. The triage tool was evaluated as feasible (mean System Usability Score 74.2 [SD 11.5]), reliable (inter-rater reliability [Fleiss' Kappa 0.79], intra-rater reliability [Cohen's Kappa 0.89]) and accurate (sensitivity [100%], specificity [98.8%], positive predictive value [40%] and negative predictive value [100%]).

CONCLUSION

Early triage of potential SCS candidates potentially supports rapid and appropriate care allocation, shortens waiting list time and improves clinical outcomes. Future research should explore strategies to optimise the tool's performance in identifying patients most likely to benefit from SCS therapy.

SIGNIFICANCE

A novel triage tool was developed to identify patients with chronic back and leg pain for an early referral to SCS. This tool, evaluated for feasibility, reliability, and predictive accuracy, shows promise in reducing waiting times and improving patient selection. It can be a prelude to the further development of decision support for SCS and an acceleration in the care process for SCS candidates.

Stability and Volatility in the Contextual Predictors of Working-Age Mortality in the United States

The contextual predictors of mortality in the United States are well documented, but the COVID-19 pandemic may have upended those associations. Informed by the social history of disease framework (SHDF), this study examined how the importance of county contexts on adult deaths from all causes, drug poisonings, and COVID-19-related causes fluctuated during the pandemic. Using 2018 to 2021 vital statistics data, for each quarter, we estimated associations between county-level deaths among adults ages 25 to 64 and prepandemic county-level contexts (economic conditions, racial-ethnic composition, population health profile, and physician supply). The pandemic significantly elevated the importance of county contexts-particularly median household income and counties' preexisting health profile-on all-cause and drug poisoning deaths. The elevated importance of household income may be long-lasting. Contextual inequalities in COVID-19-related deaths rose and then fell, as the SHDF predicts, but rose again along with socio-political disruptions. The findings support and extend the SHDF.

Influence of COVID-19 pandemic on mandible fracture patterns in a German cranio-maxillofacial trauma center: PreCOVID (2019) versus IntraCOVID (2020)

BACKGROUND/AIMS

The COVID-19 (Coronavirus Disease-2019) pandemic confronted the global healthcare system with a variety of challenges. The pandemic and the associated lockdowns also had an impact on multiple medical disciplines (i.e. delay of surgery, change of hospital admissions). The aim of this study was to analyze the impact of the COVID-19 pandemic on mandible fracture patterns/distributions and circumstances in a German cranio-maxillofacial trauma center.

MATERIALS AND METHODS

This retrospective study compared the mandible fracture patterns of patients in the PreCOVID (PC) era (February 2019-January 2020) with patients in the IntraCOVID (IC) era (February 2020-January 2021). In addition to baseline characteristics, the number/type of mandible fractures, location of the mandible fracture, circumstances leading to mandible fracture, and hospital admissions/treatments were analyzed.

RESULTS

A total of 127 patients was included in this study. In the IC period, the absolute frequencies of mandible fractures decreased (PC = 72 vs. IC = 55). There were minor changes in the mandible fracture locations. An increase of concomitant facial soft tissue injuries (IC = 69.1% vs. PC = 58.3%), as well as higher rates of traumatic tooth loss (IC = 32.7% vs. PC = 22.2%), was observed. Regarding the causes/accidents leading to mandible fractures, there were significant increases in falls and significant decreases in sports accidents as well as interpersonal violence during the IC period. A significant increase in accidents at home and domestic violence during the COVID-19 pandemic, with a simultaneous decrease in weekend and night-time trauma leading to mandible fractures was observed. Furthermore, a significant increase in days from trauma to surgery was recorded.

CONCLUSION

The COVID-19 pandemic had a significant impact on mandibular fracture patterns. The locations and types of mandibular fractures changed slightly. However, significant differences in the circumstances leading to mandible fractures (increased falls, decreased interpersonal violence) were recorded.

The Impact of COVID-19 on Healthcare Services in Bangladesh: A Qualitative Study on Healthcare Providers' Perspectives

OBJECTIVES

The objective of this study was to explore healthcare providers' experiences in managing the coronavirus disease 2019 (COVID-19) pandemic and its impact on healthcare services.

METHODS

A qualitative study was conducted with 34 healthcare professionals across 15 districts in Bangladesh. Among the participants, 24 were health managers or administrators stationed at the district or upazila (sub-district) level, and 10 were clinicians providing care to patients with COVID-19. The telephone interviews were conducted in Bangla, audio-recorded, transcribed, and then translated into English. Data were analyzed thematically.

RESULTS

Most interviewees identified a range of issues within the health system. These included unpreparedness, challenges in segregating COVID-19 patients, maintaining isolation and home quarantine, a scarcity of intensive care unit beds, and ensuring continuity of service for non-COVID-19 patients. The limited availability of personal protective equipment, a shortage of human resources, and logistical challenges, such as obtaining COVID-19 tests, were frequently cited as barriers to managing the pandemic. Additionally, changes in the behavior of health service seekers, particularly increased aggression, were reported. The primary motivating factor for healthcare providers was the willingness to continue providing health services, rather than financial incentives.

CONCLUSIONS

The COVID-19 pandemic presented a unique set of challenges for health systems, while also providing valuable lessons in managing a public health crisis. To effectively address future health crises, it is crucial to resolve a myriad of issues within the health system, including the inequitable distribution of human resources and logistical challenges.

Excess deaths associated with COVID-19 by rurality and demographic factors in the United States

PURPOSE

To estimate percent excess deaths during the COVID-19 pandemic by rural-urban residence in the United States and to describe rural-urban disparities by age, sex, and race/ethnicity.

METHODS

Using US mortality data, we used overdispersed Poisson regression models to estimate monthly expected death counts by rurality of residence, age group, sex, and race/ethnicity, and compared expected death counts with observed deaths. We then summarized excess deaths over 6 6-month time periods.

FINDINGS

There were 16.9% (95% confidence interval [CI]: 16.8, 17.0) more deaths than expected between March 2020 and February 2023. The percent excess varied by rurality (large central metro: 18.2% [18.1, 18.4], large fringe metro: 15.6% [15.5, 15.8], medium metro: 18.1% [18.0, 18.3], small metro: 15.5% [15.3, 15.7], micropolitan rural: 16.3% [16.1, 16.5], and noncore rural: 15.8% [15.6, 16.1]). The percent excess deaths were 20.2% (20.1, 20.3) for males and 13.6% (13.5, 13.7) for females, and highest for Hispanic persons (49% [49.0, 49.6]), followed by non-Hispanic Black persons (28% [27.5, 27.9]) and non-Hispanic White persons (12% [11.6, 11.8]). The 6-month time periods with the highest percent excess deaths for large central metro areas were March 2020-August 2020 and September 2020-February 2021; for all other areas, these time periods were September 2020-February 2021 and September 2021-February 2022.

CONCLUSION

Percent excess deaths varied by rurality, age group, sex, race/ethnicity, and time period. Monitoring excess deaths by rurality may be useful in assessing the impact of the pandemic over time, as rural-urban patterns appear to differ.

Impact of COVID-19 pandemic on breast cancer screening in a large midwestern United States academic medical center

BACKGROUND

Access to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3) pandemic-associated patient attrition in screening encounters overall and by sociodemographic subgroup.

METHODS

We included screening mammogram encounter EPIC data from 1-1-2019 to 12-31-2022 for females ≥40 years old. We used Bayesian State Space models to describe weekly screening mammogram counts, modeling an interruption that phased in and out between 3-1-2020 and 9-1-2020. We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. We estimated associations between race/ethnicity and age group and return screening mammogram encounters during the pandemic among those with 2019 encounters using logistic regression.

RESULTS

Our analysis modeling weekly screening mammogram counts included 231,385 encounters (n = 127,621 women). Model-estimated screening mammograms dropped by >98% between 03-15-2020 and 05-24-2020 followed by a return to pre-pandemic levels or higher with similar results by race/ethnicity and age group. Among 79,257 women, non-Hispanic (NH) Asians, NH Blacks, and Hispanics had significantly (p < .05) lower odds of screening encounter returns during 2020-2022 vs. NH Whites with odds ratios (ORs) from 0.70 to 0.91. Among 79,983 women, those 60-69 had significantly higher odds of any return screening encounter during 2020-2022 (OR = 1.28), while those ≥80 and 40-49 had significantly lower odds (ORs 0.77, 0.45) than those 50-59 years old. A sensitivity analysis suggested a possible pre-existing pattern.

CONCLUSIONS

These data suggest a short-term pandemic effect on screening mammograms of ~2 months with no evidence of disparities. However, we observed racial/ethnic disparities in screening mammogram returns during the pandemic that may be at least partially pre-existing. These results may inform future pandemic planning and continued efforts to eliminate mammogram screening disparities.

Hearing healthcare utilisation among older adults with self-reported hearing loss during the COVID-19 pandemic in the United States

OBJECTIVE

To ascertain the prevalence, causes, and risk factors of hearing healthcare delays in older people with self-reported hearing loss in the United States.

DESIGN

This cross-sectional study used data from the National Health and Ageing Trends Study (NHATS), a nationally representative survey of Medicare beneficiaries. A supplemental COVID-19 survey was mailed to the participants from June to October 2020.

STUDY SAMPLE

By January 2021, 3257 participants had returned completed COVID-19 questionnaires, with the majority having been self-administered between July and August 2020.

RESULTS

The participants in the study represented 32.7 million older adults in the US, with 29.1% reporting hearing loss. Among over 12.4 million older adults who put off needed or planned medical care, 19.6% of those with self-reported hearing loss and 24.5% of hearing aid or device users stated they delayed hearing appointments. Approximately 629,911 older adults with hearing devices were impacted by the COVID-19 outbreak for audiological services. The top three reasons were deciding to wait, service cancellation, and fear of going. Education and race/ethnicity were associated with delaying hearing healthcare.

CONCLUSIONS

The COVID-19 pandemic impacted hearing healthcare utilisation among older adults with self-reported hearing loss in 2020, with both patient- and provider- initiated delays.

Hypertension prevalence, coding and control in an urban primary care setting in the UK between 2014 and 2021

OBJECTIVE

Hypertension is a leading preventable cause of mortality, yet high rates of undiagnosed and uncontrolled hypertension continue. The burden falls most heavily on some ethnic minorities and the socially deprived, with the COVID-19 pandemic having further widened inequalities. We sought to determine the prevalence and predictors of unmeasured blood pressure (BP), uncoded elevated BP and uncontrolled hypertension in primary care across 2014-2021.

METHODS

A population-based cohort study using data from all 41 general practices in a socioeconomically diverse inner-city borough. BP measurements, sociodemographic, lifestyle and clinical factors were extracted from anonymized primary care data. Hypertension and BP control were defined using NICE guidelines. Associations between patient characteristics and hypertension outcomes were identified using logistical regression modelling.

RESULTS

Of 549 082 patients, 39.5% had unmeasured BP; predictors included male sex [AOR 2.40, 95% confidence interval (95% CI) 2.26-2.43] and registration in the pandemic years. Of 71 970 adults with elevated BP, 36.0% were uncoded; predictors included obesity (AOR 2.51, 95% CI 2.42-2.60) and increasing age. Of 44 648 adults on the hypertension register, 46.8% had uncontrolled hypertension; predictors included black ethnicity compared to white (AOR 1.54, 95% CI 1.41-1.68) and cardiovascular co-morbidities (AOR 1.23, 95% CI 1.21-1.25). Social deprivation was only weakly or not significantly associated with hypertension outcomes.

CONCLUSION

The burden of uncoded elevated BP and uncontrolled hypertension is high. Obesity and male sex were associated with uncoded elevated BP and uncontrolled hypertension. Black ethnicity was associated with uncontrolled hypertension. Initiatives are needed to optimize hypertension coding and control, with an emphasis on specific population subgroups.

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.

Comparison of different prognostic scores in estimating short- and long-term mortality in COVID-19 patients above 60 years old in a university hospital in Belgium

BACKGROUND AND OBJECTIVES

Multiple scoring systems were used for risk stratification in COVID-19 patients. The objective was to determine among 6 scores which performed the best in predicting short-and long-term mortality in hospitalized COVID-19 patients ≥ 60 years.

METHODS

An observational, retrospective cohort study conducted between 21/10/2020 and 20/01/2021. 6 scores were calculated (Clinical Frailty Scale (CFS), Charlson Comorbidity Index (CCI), 4C Mortality Score (4CMS), NEWS score (NEWS), quick-SOFA score (qSOFA), and Quick COVID-19 Severity Index (qCSI)). We included unvaccinated hospitalized patients with COVID-19 ≥ 60 years old in Brugmann hospital, detected by PCR and/or suggestive CT thorax images. Old and nosocomial infections, and patients admitted immediately at the intensive care unit were excluded.

RESULTS

199 patients were included, mean age was 76.2 years (60-99). 47.2% were female. 56 patients (28%) died within 1 year after the first day of hospitalization. The 4CMS predicted the best intrahospital, 30 days and 6 months mortality, with area under the ROC curve (AUROC) 0.695 (0.58-0.81), 0.76 (0.65-0.86) and 0.72 (0.63-0.82) respectively. The CCI came right after with respectively AUROC of 0.69 (0.59-0.79), 0.74 (0.65-0.83) and 0.71 (0.64-0.8). To predict mortality at 12 months after hospitalization, the CCI had the highest AUROC with 0.77 (0.69-0.85), before the 4CMS with 0.69 (0.60-0.79).

DISCUSSION

Among 6 scores, the 4CMS was the best to predict intrahospital, 30-day and 6-month mortality. To predict mortality at 12 months, CCI had the best performance before 4CMS. This reflects the importance of considering comorbidities for short- and long-term mortality after COVID 19.

REGISTRATION

This study was approved by the ethical committee of Brugmann University Hospital (reference CE 2020/228).

Staying in or out? COVID-19-induced healthcare utilization avoidance and associated socio-demographic factors in rural India

BACKGROUND

Although evidence on healthcare utilization avoidance during COVID-19 pandemic is emerging, such knowledge is limited in rural settings. An effective policy to the COVID-19 shocks and stresses in rural settings require empirical evidence to inform the design of health policies and programmes. To help overcome this evidence gap and also contribute to policy decisions, this study aimed at examining COVID-19-induced healthcare utilization avoidance and associated factors in rural India.

METHODS

This study used the third-round data from the COVID-19-Related Shocks in Rural India survey conducted between 20-24 September, 2020 across six states. The outcome variable considered in this study was COVID-19-induced healthcare utilization avoidance. Multivariable Binary Logistic Regression Model via Multiple Imputation was used to assess the factors influencing COVID-19-induced healthcare utilization avoidance.

RESULTS

Data on 4,682 respondents were used in the study. Of this, the prevalence of COVID-19-induced healthcare utilization avoidance was 15.5% in rural India across the six states. After adjusting for relevant covariates, participants from the Bihar State have significantly higher likelihood of COVID-19-induced healthcare utilization avoidance compared to those from the Andhra Pradesh. Also, participants whose educational level exceeds high school, those who use government hospital/clinic, engage in daily wage labour in agriculture have significantly higher odds of COVID-19-induced healthcare utilization avoidance compared to their counterparts.

CONCLUSION

Our study revealed that state of residence, type of health facility used, primary work activity and educational level were associated with COVID-19-induced healthcare utilization avoidance in rural India. The findings suggest that policy makers and public health authorities need to formulate policies and design interventions that acknowledge socioeconomic and demographic factors that influence healthcare use avoidance.

Trends in dental insurance claims in the United States in the context of the COVID-19 pandemic: A 3-year perspective (2019-2022)

OBJECTIVES

We showed in a previous analysis the patterns of disruption for private dental insurance claims in the United States caused by the SARS-CoV-2 pandemic in 2020. The present report examines trends during 2020 and 2021, that is, contrasting perspectives during 2019 with the acute phase of the pandemic in 2020, and 2021.

METHODS

Private dental insurance paid claims from a data warehouse were obtained, encompassing a 5% random sample of records between January 2019 and December 2021 for child and adult insureds who filed a claim in 2019, 2020, and 2021. We classified claims into one of four categories based on the likelihood of being associated with urgent/emergency care.

RESULTS

The precipitous reduction in dental care claims in March-June 2020 recovered to almost pre-pandemic levels by the fall of 2020. However, a downward decline in private dental insurance claims started in the late fall of 2020 and continued through 2021. Differential impacts in dental care categories-in terms of urgency of care-were evident 2021, closely resembling previous trends in 2020.

CONCLUSIONS

Dental care claims from the first year of the 2020 SARS-CoV-2 pandemic were contrasted with perspectives in 2021. A downward trend in demand/availability changes in dental care insurance claims set in for 2021, perhaps linked to perceptions of the overall economic situation. Such downward trend has continued overall, even after considering seasonal changes and the acceleration of the pandemic during the Delta, Omicron, and other variants.