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Patients with congenital heart disease (CHD) have an increased cancer risk. The aim of this study was to determine cancer-related mortality in CHD patients compared with non-CHD controls, compare ages at cancer diagnosis and death, and explore the most fatal cancer diagnoses.
Registry-based cohort study.
CHD patients born between 1970 and 2017 were identified using Swedish Health Registers. Each was matched by birth year and sex with 10 non-CHD controls. Included were those born in Sweden with a cancer diagnosis.
Cancer developed in 758 out of 67814 CHD patients (1.1%), with 139 deaths (18.3%)—of which 41 deaths occurred in patients with genetic syndromes. Cancer was the cause of death in 71.9% of cases. Across all CHD patients, cancer accounted for 1.8% of deaths. Excluding patients with genetic syndromes and transplant recipients, mortality risk between CHD patients with cancer and controls showed no significant difference (adjusted HR 1.17; 95% CI 0.93 to 1.49). CHD patients had a lower median age at cancer diagnosis—13.0 years (IQR 2.9–30.0) in CHD versus 24.6 years (IQR 8.6–35.1) in controls. Median age at death was 15.1 years (IQR 3.6–30.7) in CHD patients versus 18.5 years (IQR 6.1–32.7) in controls. The top three fatal cancer diagnoses were ill-defined, secondary and unspecified, eye and central nervous system tumours and haematological malignancies.
Cancer-related deaths constituted 1.8% of all mortalities across all CHD patients. Among CHD patients with cancer, 18.3% died, with cancer being the cause in 71.9% of cases. Although CHD patients have an increased cancer risk, their mortality risk post-diagnosis does not significantly differ from non-CHD patients after adjustements and exclusion of patients with genetic syndromes and transplant recipients. However, CHD patients with genetic syndromes and concurrent cancer appear to be a vulnerable group.
by Caterina Casalini, Yema D’Almeida, Moussa Ariziki Nassam, Essopha Kokoloko, Souley Wade, Jean Paul Tchupo, Messan Damarly, Justin Mandala, Michele Lanham, Natasha Mack, Chris Akolo, Vincent Polakinam Pitche, Hugues Guidigbi, Claver Anoumou Dagnra
BackgroundAccording to UNAIDS, Togo halved AIDS-related deaths among children ages 0–14 from 2010 to 2020. However, available data show low dolutegravir (DTG)-containing antiretroviral therapy (ART) coverage and low viral load suppression (VLS) among children living with HIV (CLHIV). We analyzed routine facility data before and after implementation of root-cause-based solutions for improving DTG coverage, viral load (VL) testing coverage, and VLS among CLHIV.
DescriptionWe analyzed routine data for CLHIV ≤14 years from October 2019 through September 2022. We assessed proportion of CLHIV on ART receiving DTG, VL testing coverage (CLHIV on ART with documented VL test result), and VLS (CLHIV with documented VL test result of Results
From baseline (October 2019–September 2020) to endline (October 2021–September 2022), increases were observed for DTG coverage (52% to 71%), VL testing coverage (48% to 90%), and VLS (64% to 82%). Age-disaggregated data showed positive trends.
ConclusionsRoot-cause-based solutions and granular data use increased DTG coverage, resulting in increased VL testing and VLS among CLHIV. These interventions should be scaled and become the national standard of care.
Missed nursing care is a global phenomenon affecting patient safety and quality of care. The working environment of nurses seems to play an important role in missed nursing care.
This study was conceptualized to explore the link of environmental constraints with missed nursing care in the Indian context.
A convergent mixed-method design was adopted, and data was collected using Kalisch's MISSCARE survey from 205 randomly selected nurses involved in direct patient care in the acute care settings of four tertiary care hospitals in India. In the qualitative phase, in-depth interviews regarding nurses' experience of missed care were performed with 12 nurses chosen by maximum variant sampling from the quantitative sample.
The integrated results revealed that nurses experience a sense of competing priority in the environment where curative and prescribed tasks like medication administration get more priority than activities like communication, discharge teaching, oral hygiene, and emotional support, which are frequently missed. The human resource and communication constraints together explained 40.6% of variance in missed nursing care. Human resource inadequacy in times of increased workload was the most frequently cited reason for missed care. Converging with this finding, nurses in the interviews expressed that maintaining a flexible number of staff and catering to the variable workload can effectively reduce missed nursing care. Frequent interruption of nursing activities by medical staff and lack of structure in some activities were cited as important reasons for missed care.
Nursing leaders need to acknowledge missed care in nursing and develop policies to maintain flexible staffing based on situational workload. Methods of staffing like NHPPD (Nursing hour per patient day) which are more sensitive to nursing workload, and patient turnover, can be adopted instead of a fixed nurse–patient mandate. Mutual support from team members and multi-professional cooperation can reduce frequent interruption of nursing tasks thereby reducing missed care.
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