EMERALD: Emergency visit audit of patients treated under medical oncology in a tertiary cancer center: Logical steps to decrease the burden

Free-text analysis of general practice out-of-hours (GPOOH) use by people with advanced cancer: an analysis of coded and uncoded free-text data

BACKGROUND

People with advanced cancer frequently use the GP out-of-hours (GPOOH) service. Considerable amounts of routine GPOOH data are uncoded. Therefore, these data are omitted from existing healthcare datasets.

AIM

To conduct a free-text analysis of a GPOOH dataset, to identify reasons for attendance and care delivered through GPOOH to people with advanced cancer.

DESIGN AND SETTING

An analysis of a GPOOH healthcare dataset was undertaken. It contained all coded and free- text information for 5749 attendances from a cohort of 2443 people who died from cancer in Tayside, Scotland, from 2013-2015.

METHOD

Random sampling methods selected 575 consultations for free-text analysis. Each consultation was analysed by two independent reviewers to determine the following: assigned presenting complaints; key and additional palliative care symptoms recorded in free text; evidence of anticipatory care planning; and free-text recording of dispensed medications. Inter-rater reliability concordance was established through Kappa testing.

RESULTS

More than half of all coded reasons for attendance (n = 293; 51.0%) were 'other' or 'missing'. Free-text analysis demonstrated that nearly half (n = 284; 49.4%) of GPOOH attendances by people with advanced cancer were for pain or palliative care. More than half of GPOOH attendances (n = 325; 56.5%) recorded at least one key or additional palliative care symptom in free text, with the commonest being breathlessness, vomiting, cough, and nausea. Anticipatory care planning was poorly recorded in both coded and uncoded records. Uncoded medications were dispensed in more than one- quarter of GPOOH consultations.

CONCLUSION

GPOOH delivers a substantial amount of pain management and palliative care, much of which is uncoded. Therefore, it is unrecognised and under-reported in existing large healthcare data analyses.

Community prescribing trends and prevalence in the last year of life, for people who die from cancer

Background

People who die from cancer (‘cancer decedents’) may latterly experience unpleasant and distressing symptoms. Prescribing medication for pain and symptom control is essential for good-quality palliative care; however, such provision is variable, difficult to quantify and poorly characterised in current literature. This study aims to characterise trends in prescribing analgesia, non-analgesic palliative care medication and non-palliative medications, to cancer decedents, in their last year of life, and to assess any associations with demographic or clinical factors.

Methods

This descriptive study, analysed all 181,247 prescriptions issued to a study population of 2443 cancer decedents in Tayside, Scotland (2013–2015), in the last year of life, linking prescribing data to demographic, and cancer registry datasets using the unique patient-identifying Community Health Index (CHI) number. Anonymised linked data were analysed in Safe Haven using chi-squared test for trend, binary logistic regression and Poisson regression in SPSSv25.

Results

In their last year of life, three in four cancer decedents were prescribed strong opioids. Two-thirds of those prescribed opioids were also prescribed laxatives and/or anti-emetics. Only four in ten cancer decedents were prescribed all medications in the ‘Just in Case’ medication categories and only one in ten was prescribed breakthrough analgesia in the last year of life. The number of prescriptions for analgesia and palliative care drugs increased in the last 12 weeks of life. The number of prescriptions for non-palliative care medications, including anti-hypertensives, statins and bone protection, decreased over the last year, but was still substantial. Cancer decedents who were female, younger, or had lung cancer were more likely to be prescribed strong opioids; however, male cancer decedents had higher odds of being prescribed breakthrough analgesia. Cancer decedents who had late diagnoses had lower odds of being prescribed strong opioids.

Conclusions

A substantial proportion of cancer decedents were not prescribed strong opioids, breakthrough medication, or medication to alleviate common palliative care symptoms (including ‘Just in Case’ medication). Many patients continued to be prescribed non-palliative care medications in their last days and weeks of life. Age, gender, cancer type and timing of diagnosis affected patients’ odds of being prescribed analgesic and non-analgesic palliative care medication.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12904-022-00996-3.

Factors associated with unscheduled care use by cancer decedents: a systematic review with narrative synthesis

BACKGROUND

People who die from cancer (cancer decedents) may experience unpleasant and distressing symptoms which cause them to present to unscheduled care. Unscheduled care is unplanned care delivered by general practitioner out-of-hours and emergency departments. Use of unscheduled care can disrupt treatment plans, leading to a disjointed patient care and suboptimal outcomes.

OBJECTIVES

This systematic review aimed to identify factors associated with unscheduled care use by cancer decedents.

METHOD

Systematic review with narrative synthesis of seven electronic databases (PubMed; Medline; Embase; Cochrane Database of Systematic Reviews; Cochrane Central Register of Controlled Trials; Web of Science; Cumulative Index to Nursing and Allied Health Literature) from inception until 01 January 2020. All observational and experimental studies were included, irrespective of their research design.

RESULTS

The search yielded 238 publications included at full-text, of which 47 were included in the final review and synthesis. Unscheduled care use by cancer decedents was influenced by multiple factors, synthesised into themes: demography, clinical and patient, temporal, prescribing and systems. Cancer decedents who were older, men, had comorbidities, or lung cancer, were most likely to use unscheduled care. Unscheduled care presentations were commonly due to pain, breathlessness and gastrointestinal symptoms. Low continuity of care, and oncology-led care were associated with greater unscheduled care use. Access to palliative care, having an up-to-date palliative care plan, and carer education were associated with less unscheduled care use.

CONCLUSION

The review identifies multiple factors associated with unscheduled care use by cancer decedents. Understanding these factors can inform future practice and policy developments, in order to appropriately target future interventions, optimise service delivery and improve the patient journey.

PROSPERO REGISTRATION NUMBER

CRD42016047231.

Risk factors for unplanned hospital readmissions within 30 days of discharge among medical oncology patients: A retrospective medical record review

PURPOSE

This study aimed to identify the risk factors for unplanned hospital readmissions (UHR) within 30 days of discharge among medical oncology patients at a tertiary hospital in Singapore.

METHODS

This study is a retrospective, case-control medical record review of patients admitted to a medical oncology unit at a tertiary hospital between 1 June and October 31, 2017. During the study period, there were 1559 adult patients discharged alive from the medical oncology unit. Of this, 359 patients had experienced at least a 30-day UHR (cases). The cases were matched to those without a 30-day UHR (controls) by their primary reason for index admission and discharge date. After matching, 312 medical records (cases: 156; controls: 156) were analysed.

RESULTS

Of the 156 cases with a 30-day UHR, 46.2% (n = 72) were readmitted within the first 10 days of discharge. The top reasons contributing to the UHR were non-neutropenic infection (n = 41) and pain (n = 23). Multivariate analyses identified three independent risk factors that were associated with the 30-day UHR: (1) single marital status, (2) emergency department visit(s) in the past six months, and (3) recent decline in activities of daily living.

CONCLUSION

The study results can guide risk stratification to identify medical oncology patients at high risk for 30-day UHR. In addition, the results warrant the need to refine the inpatient assessments and discharge planning, as well as ensure the accurate referral to and allocation of community and outpatient resources so as to reduce the risk of UHR.