Social tariffs and democratic choice—Do population‐based health state values reflect the will of the people?

In economic evaluations of health technologies, health outcomes are commonly measured in terms of quality‐adjusted life years (QALYs). QALYs are the product of time and health‐related quality of life. Health‐related quality of life, in turn, is determined by a social tariff, which is supposed to reflect the public's preference over health states. This study argues that, because of the tariff's role in the societal decision‐making process, it should not be understood as merely an operational (statistical) definition of health, but as a major instrument of democratic participation. I outline what implications this might have for both the method used to aggregate individual preferences, and the set of individuals whose preferences should count. Alternative tariff specifications and decision rules are explored, and future research directions are proposed.     

Investigating the relationship between social care supply and healthcare utilization by older people in England

Since 2010, adult social care spending in England has fallen significantly in real terms whilst demand has risen. Reductions in social care supply may also have impacted demand for NHS services, particularly for those whose care is provided at the interface of the health and care systems. We analyzed a panel dataset of 150 local authorities (councils) to test potential impacts on hospital utilization by people aged 65 and over: emergency admission rates for falls and hip fractures (“front‐door” measures); and extended stays of 7 days or longer; and 21 days or longer (“back‐door” measures). Changes in social care supply were assessed in two ways: gross current expenditure (per capita 65 and over) adjusted by local labor costs and social care workforce (per capita 18 and over). We ran negative binomial models, controlling for deprivation, ethnicity, age, unpaid care, council class, and year effects. To account for potential endogeneity, we ran instrumental variable regressions and dynamic panel models. Sensitivity analysis explored potential effects of funding for integrated care (the Better Care Fund). There was no consistent evidence that councils with higher per capita spend or higher social care staffing rates had lower hospital admission rates or shorter hospital stays.     

Severe Acute Respiratory Syndrome Coronavirus 2 Seropositivity among Healthcare Personnel in Hospitals and Nursing Homes,Rhode Island,USA, July–August 2020

Healthcare personnel are recognized to be at higher risk for infection with severe acute respiratory syndrome coronavirus 2. We conducted a serologic survey in 15 hospitals and 56 nursing homes across Rhode Island, USA, during July 17–August 28, 2020. Overall seropositivity among 9,863 healthcare personnel was 4.6% (95% CI 4.2%–5.0%) but varied 4-fold between hospital personnel (3.1%, 95% CI 2.7%–3.5%) and nursing home personnel (13.1%, 95% CI 11.5%–14.9%). Within nursing homes, prevalence was highest among personnel working in coronavirus disease units (24.1%; 95% CI 20.6%–27.8%). Adjusted analysis showed that in hospitals, nurses and receptionists/medical assistants had a higher likelihood of seropositivity than physicians. In nursing homes, nursing assistants and social workers/case managers had higher likelihoods of seropositivity than occupational/physical/speech therapists. Nursing home personnel in all occupations had elevated seropositivity compared with hospital counterparts. Additional mitigation strategies are needed to protect nursing home personnel from infection, regardless of occupation.     

SARS-CoV-2 Serial Interval Variation,Montana, USA,March 1–July 31, 2020

We report mean severe acute respiratory syndrome coronavirus 2 serial intervals for Montana, USA, from 583 transmission pairs; infectors’ symptom onset dates occurred during March 1–July 31, 2020. Our estimate was 5.68 (95% CI 5.27–6.08) days, SD 4.77 (95% CI 4.33–5.19) days. Subperiod estimates varied temporally by nonpharmaceutical intervention type and fluctuating incidence.     

Reimagining Nutrition Care and Mealtimes in Long-Term Care

Poor food and fluid intake and subsequent malnutrition and dehydration of residents are common, longstanding challenges in long-term care (LTC; eg, nursing homes, care homes, skilled nursing facilities). Institutional factors like inadequate nutrition care processes, food quality, eating assistance, and mealtime experiences, such as staff and resident interactions (ie, relationship-centered care) are partially responsible and are all modifiable. Evidence-based guidelines on nutrition and hydration for older adults, including those living with dementia, outline best practices. However, these guidelines are not sector-specific, and implementation in LTC requires consideration of feasibility in this setting, including the impact of government, LTC home characteristics, and other systems and structures that affect how care is delivered. It is increasingly acknowledged that interconnected relationships among residents, family members, and staff influence care activities and can offer opportunities for improving resident nutrition. In this special article, we reimagine LTC nutrition by reframing the evidence-based recommendations into relationship-centered care practices for nutrition care processes, food and menus, eating assistance, and mealtime experience. We then expand this evidence into actions for implementation, rating these on their feasibility and identifying the entities that are accountable. A few of the recommended activities were rated as highly feasible (6 of 27), whereas almost half were rated moderate (12/27) and the remainder low (9/27) owing to the need for additional staff and/or expert staff (including funding), or infrastructure or material (eg, food ingredients) investment. Government funding, policy, and standards are needed to improve nutrition care. LTC home leadership needs to designate roles, initiate training, and support best practices. Accountability will result from enforcement of policies through auditing of practice. Further evidence on these desirable nutrition care and mealtime actions and their benefit to residents’ nutrition and well-being is required.     

Comorbidity and Quality of In-Hospital Care for Hip Fracture Patients

ObjectivesWe examined whether the comorbidity burden of patients with hip fracture was associated with quality of in-hospital care reflected by fulfillment of process performance measures.DesignPopulation-based cohort study using prospectively collected data from the Danish Multidisciplinary Hip Fracture Registry (DMHFR).Setting and ParticipantsPatients aged 65 years or older with an incident hip fracture from 2014 to 2018 registered in the DMHFR (n = 31,443).MethodsComorbidity was measured using the Charlson Comorbidity Index based on hospital diagnoses. Quality of in-hospital care was defined as fulfillment of eligible process performance measures, including preoperative optimization, early surgery, early mobilization, pain assessment, basic mobility, nutritional risk, need for anti-osteoporotic medication, fall prevention, and a post-discharge rehabilitation program, reflecting guideline-recommended in-hospital care. The outcomes were (1) an all-or-none composite measure defined as fulfillment of all relevant process performance measures, and (2) fulfillment of the individual process performance measures. Using binary regression, we calculated relative risk (RR) for the association between comorbidity level and outcomes.ResultsThe overall proportion of patients with hip fracture who fulfilled the all-or-none measure was 31%. Among patients with no comorbidity, 34% fulfilled the all-or-none measure versus 29% among patients with high comorbidity (Charlson ≥ 3). This corresponds to a 15% lower chance (RR = 0.85, 95% confidence interval 0.81–0.89). Increasing comorbidity was also associated with lower fulfillment of the individual process performance measures. The largest difference was seen for preoperative optimization, early surgery, and early mobilization, where patients with high comorbidity had 6% to 11% lower chance of fulfillment of these process performance measures compared with patients without comorbidity.Conclusion and ImplicationsIncreasing level of comorbidity was associated with lower quality of in-hospital care among patients with hip fracture. Our results highlight the need for tailored clinical initiatives to ensure that comorbid patients also benefit from the positive progress in hip fracture care in recent years.     

Mortality,Health Care Use,and Costs of Clostridioides difficile Infections in Older Adults

ObjectivesEstimate mortality, cost, and health care resource utilization for Medicare beneficiaries aged ≥65 years who suffered a primary Clostridioides difficile infection (CDI) episode only or any recurrent CDI, and understand how outcomes covary with death.DesignRetrospective observational claims analysis.Setting and ParticipantsPatients aged ≥65 years who had an inpatient or outpatient CDI diagnosis claim to Medicare and continuous enrollment in Medicare parts A, B, and D during the 12-month pre- and post-index periods.MethodsUsing 100% Medicare Fee-for-Service claims data for 2009–2017, primary (pCDI, n = 345,893) and recurrent (rCDI: n = 151,596) CDI episodes were identified. Demographic and clinical characteristics, mortality, health care resource utilization, and costs (per patient per month) were summarized for 12 months before and up to 12 months after episode start. Regression models were estimated for hospitalization risk, hospital length of stay (LOS), and cost to adjust for comorbidities.ResultsCDI-associated deaths were almost 10 times higher after recurrent CDI (25.4%) than primary CDI (2.7%). Compared with survivors, decedents were older, had higher Charlson Comorbidity Index scores, and were more likely Black. Adjusting for comorbidities, during follow-up, decedents had higher hospitalization rates [pCDI: odds ratio (OR) = 1.83, P < .001; rCDI: OR = 2.58, P < .001], and recurrent CDI decedents had more intensive care unit use (OR = 2.34, P < .001) compared with survivors. Decedents also had a longer length of stay (pCDI: +3.2 days, P < .001; rCDI: +2.6 days, P < .001), and higher total cost (pCDI: +303%, P < .001; rCDI: +297%, P < .001).Conclusions and ImplicationsCDI is an important contributing diagnosis to all-cause mortality, particularly for recurrences. Prior to death, older Medicare beneficiaries who experienced CDI received longer, more intensive, and more costly care compared with survivors. Clinicians should be particularly attentive to prevention, identification, and appropriate treatment of CDI in older adults. Better treatments to reduce primary C difficile infection and recurrences in this vulnerable population can lower both mortality and economic burden.     

Long-Term Care Facilities (LTCFs) During the COVID-19 Pandemic—Lessons From the Asian Approach: A Narrative Review

ObjectivesThe COVID-19 pandemic put into question the organizational skills of LTCF. The containment measures implemented in several Asian countries avoided heavy death tolls in LTCF in contrast to other countries across the globe. The aim of this review is therefore to investigate and illustrate the measures that were undertaken in Asia to contain and prevent the spread of the COVID-19 pandemic in LTCF.DesignNarrative review.Setting and ParticipantsAsian older subjects institutionalized in LTCF.MethodsBroad literature research from July 2020–April 2021. The following search terms were used: “COVID-19 Nursing homes” AND the country of interest or “contact tracing.” Eligible categories for inclusion comprise editorials, reviews, government guidelines, letters to the editor, and perspectives. The COVID-19 measures were then subdivided into different sections and compiled into an evidence table.ResultsPrompt measures were put into action since the beginning of the pandemic that avoided the spread of COVID-19 in LTCF. Examples range from simple acts of proper hand hygiene and environmental disinfection, swab testing, social distancing, preventive measures on health care workers, organizational measures such as quarantine, outbreak control, visitor restrictions, relationship with acute hospitals, and admission policy. Technology also played a fundamental role in promoting social distancing by using specific robots and in managing contact tracing.Conclusions and ImplicationsThe Asian preventive control guidelines are similar to those recommended elsewhere. Difference in timing and past experience with prior outbreaks such as SARS and MERS might have favored the Asian response. Furthermore, sociocultural values toward older persons by protecting and making sure that LTCF are part of the health care system could have also played a role.