The 30-day prognosis of chronic-disease patients after contact with the out-of-hours service in primary healthcare

Preadmission morbidity and healthcare utilization among older adults with potentially avoidable hospitalizations: a Danish case-control study

PURPOSE

Examine preadmission diagnoses, medication use, and preadmission healthcare utilization among older adults prior to first potentially avoidable hospitalizations.

METHODS

A nationwide population-based case-control study using Danish healthcare data. All Danish adults aged ≥ 65 years who had a first potentially avoidable hospitalization from January 1995 through March 2019 (n = 725,939) were defined as cases, and 1:1 age- and sex-matched general population controls (n = 725,939). Preadmission morbidity and healthcare utilization were assessed based on a complete hospital diagnosis history within 10 years prior, and all medication use and healthcare contacts 1 year prior. Using log-binomial regression, we calculated adjusted prevalence ratios (PR) with 95% confidence intervals (CI).

RESULTS

Included cases and controls had a median age of 78 years and 59% were female. The burden of preadmission morbidity was higher among cases than controls. The strongest associations were observed for preadmission chronic lung disease (PR 3.8, CI 3.7-3.8), alcohol-related disease (PR 3.1, CI 3.0-3.2), chronic kidney disease (PR 2.4, CI 2.4-2.5), psychiatric disease (PR 2.2, CI 2.2-2.3), heart failure (PR 2.2, CI 2.2-2.3), and previous hospital contacts with infections (PR 2.2, CI 2.2-2.3). A high and accelerating number of healthcare contacts was observed during the months preceding the potentially avoidable hospitalization (having over 5 GP contacts 1 month prior, PR 3.0, CI 3.0-3.0).

CONCLUSION

A high number of healthcare contacts and preadmission morbidity and medication use, especially chronic lung, heart, and kidney disease, alcohol-related or psychiatric disease including dementia, and previous infections are strongly associated with potentially avoidable hospitalizations.

Co-designing Community Out-of-hours Palliative Care Services: A systematic literature search and review

BACKGROUND

In order to provide responsive, individualised and personalised care, there is now greater engagement with patients, families and carers in designing health services. Out-of-hours care is an essential component of community palliative care. However, little is known about how patients, families and carers have been involved in the planning and design of these services.

AIM

To systematically search and review the research literature that reports on how out-of-hours palliative care services are provided in the community and to identify the extent to which the principles of co-design have been used to inform the planning and design of these services.

DESIGN

Systematic literature search and review.

DATA SOURCES

A systematic search for published research papers from seven databases was conducted in MEDLINE, PsycINFO, Embase, Emcare, PubMed, CINAHL and Web of Science, from January 2010 and December 2021. Reference list searches of included papers were undertaken to source additional relevant literature. A manifest content analysis was used to analyse the data.

RESULTS

A total of 77 papers were included. The majority of out-of-hours services in the community were provided by primary care services. The review found little evidence that patients, families or carers were involved in the planning or development of out-of-hours services.

CONCLUSION

Incorporating patients, families and carers priorities and preferences in the planning and designing of out-of-hours palliative care service is needed for service providers to deliver care that is more patient-centred. Adopting the principles of co-design may improve how out-of-hours care scan be delivered.

What do we know about demand, use and outcomes in primary care out-of-hours services? A systematic scoping review of international literature

OBJECTIVE

To synthesise international evidence for demand, use and outcomes of primary care out-of-hours health services (OOHS).

DESIGN

Systematic scoping review.

DATA SOURCES

CINAHL; Medline; PsyARTICLES; PsycINFO; SocINDEX; and Embase from 1995 to 2019.

STUDY SELECTION

English language studies in UK or similar international settings, focused on services in or directly impacting primary care.

RESULTS

105 studies included: 54% from mainland Europe/Republic of Ireland; 37% from UK. Most focused on general practitioner-led out-of-hours cooperatives. Evidence for increasing patient demand over time was weak due to data heterogeneity, infrequent reporting of population denominators and little adjustment for population sociodemographics. There was consistent evidence of higher OOHS use in the evening compared with overnight, at weekends and by certain groups (children aged <5, adults aged >65, women, those from socioeconomically deprived areas, with chronic diseases or mental health problems). Contact with OOHS was driven by problems perceived as urgent by patients. Respiratory, musculoskeletal, skin and abdominal symptoms were the most common reasons for contact in adults; fever and gastrointestinal symptoms were the most common in the under-5s. Frequent users of daytime services were also frequent OOHS users; difficulty accessing daytime services was also associated with OOHS use. There is some evidence to suggest that OOHS colocated in emergency departments (ED) can reduce demand in EDs.

CONCLUSIONS

Policy changes have impacted on OOHS over the past two decades. While there are generalisable lessons, a lack of comparable data makes it difficult to judge how demand has changed over time. Agreement on collection of OOHS data would allow robust comparisons within and across countries and across new models of care. Future developments in OOHS should also pay more attention to the relationship with daytime primary care and other services.

PROSPERO REGISTRATION NUMBER

CRD42015029741.

Sociodemographic and health-related determinants for making repeated calls to a medical helpline: a prospective cohort study

OBJECTIVES

To identify sociodemographic and health-related characteristics of callers' making repeated calls within 48 hours to a medical helpline, compared with those who only call once.

SETTING

In the Capital Region of Denmark people with acute, non-life-threatening illnesses or injuries are triaged through a single-tier medical helpline for acute, healthcare services.

PARTICIPANTS

People who called the medical helpline between 18 January and 9 February 2017 were invited to participate in the survey. During the period, 38 787 calls were handled and 12 902 agreed to participate. Calls were excluded because of the temporary civil registration number (n=78), the call was not made by the patient or a close relative (n=699), or survey responses were incomplete (n=19). Hence, the analysis included 12 106 calls, representing 11.131 callers' making single calls and 464 callers' making two or more calls within 48 hours. Callers' data (age, sex and caller identification) were collected from the medical helpline's electronic records. Data were enriched using the callers' self-rated health, self-evaluated degree of worry, and registry data on income, ethnicity and comorbidities. The OR for making repeated calls was calculated in a crude, sex-adjusted and age-adjusted analysis and in a mutually adjusted analysis.

RESULTS

The crude logistic regression analysis showed that age, self-rated health, self-evaluated degree of worry, income, ethnicity and comorbidities were significantly associated with making repeated calls. In the mutually adjusted analysis associations decreased, however, odds ratios remained significantly decreased for callers with a household income in the middle (OR=0.71;95% CI 0.54 to 0.92) or highest (OR=0.68;95% CI 0.48 to 0.96) quartiles, whereas immigrants had borderline significantly increased OR (OR=1.34;95% CI 0.96 to 1.86) for making repeated calls.

CONCLUSIONS

Findings suggest that income and ethnicity are potential determinants of callers' need to make additional calls within 48 hours to a medical helpline with triage function.