Trends and inequalities in BCG immunisation coverage among one-year-olds in Sierra Leone, 2008-2019.

Bacillus Calmette-Guérin (BCG) vaccination is a cornerstone of childhood immunisation programs, protecting against tuberculosis (TB), a major public health concern. Sierra Leone, a West African nation, faces challenges in achieving equitable and high BCG immunisation coverage. This study delves into the trends and inequalities in BCG coverage among one-year-old children in Sierra Leone between 2008 and 2019. Three rounds of data from the Sierra Leone Demographic and Health Surveys (2008, 2013, and 2019) were used to analysed to examine the inequalities in BCG coverage. Simple measures of inequality [Difference (D) and Ratio (R)] and complex measures of inequality [Population Attributable Ratio (PAR) and Fraction (PAF)] were calculated in the World Health Organization's Health Equity Assessment Toolkit (WHO's HEAT) software. The measures were calculated separately for each of the three surveys for age groups of women, level of education, economic status, residential areas, gender, and sub-national provinces, and their estimates were compared. The findings revealed that BCG immunisation coverage in Sierra Leone has increased significantly from 2008 (82.0%) to 2019 (96.3%). Age-related inequalities between children of older mothers (20-49) and younger mothers (15-19) increased from a Difference of -4.7 percentage points in 2008 to 4.8 percentage points in 2019. The PAF increased from zero in 2008 to 0.4% in 2019. This means that in the absence of age-related inequalities, the national average of BCG immunisation coverage would have increased by 0.4%. Economic-related inequalities between children of mothers in Quintile 5 (richest) and Quintile 1 (poorest) decreased from a Difference of 9.2 percentage points in 2008 to 1.2 percentage points in 2019. Educational-related inequalities between children of mothers with secondary/higher education and no education decreased from a Difference of 14.1 percentage points in 2008 to 0.4 percentage points in 2019. The PAF decreased from 13.3% in 2008 to 0.2% in 2019, indicating that without educational-related inequalities the setting average of BCG immunisation coverage would have increased by 0.2%. Place of residence-related inequalities between children of mothers living in urban areas and rural areas decreased from a Difference of 9.3 percentage points in 2008 to 0.7 percentage points in 2019. The PAF decreased from 8.5% in 2008 to 0.5% in 2019 indicating that the national average of BCG immunisation coverage would have increased by 0.5% without place of residence-related inequalities. The sex of the child-related inequalities between male and female children decreased from a Difference of 5.4 percentage points in 2008 to 0.7 percentage points in 2019. The PAF decreased from 3.3% in 2008 to 0.4% in 2019 indicating that the national average of BCG immunisation coverage would have increased by 0.4% without sex of the child-related inequalities. Provincial inequalities decreased from a Difference of 18.5 percentage points in 2008 to 2.3 percentage points in 2019. The PAF decreased from 14.3% in 2008 to 1.1% in 2019 indicating that the national average of BCG immunisation coverage would have increased by 1.1% without provincial inequalities. The findings indicate a substantial improvement in BCG immunisation coverage in Sierra Leone among one-year-olds, reflecting successful public health initiatives. However, age-related inequalities have worsened, with coverage among children of younger mothers declining relative to those of older mothers, suggesting a need for targeted interventions for this population. In contrast, economic, educational, sex, and place of residence-related inequalities have notably decreased, indicating progress in equitable access to immunisation across different socioeconomic strata. Additionally, provincial inequalities have decreased significantly, yet a difference of 2.3 percentage points remains, highlighting the need for continued efforts to ensure that all provinces, receive adequate healthcare resources and outreach. The absence of economic-related inequality by 2019 is particularly encouraging, as it suggests that economic barriers to immunisation have been effectively addressed. Furthermore, the reduction in educational and provincial inequalities highlights the effectiveness of strategies aimed at improving access and awareness in underserved areas.

Osborne A ，Wongnaah FG ，Bangura C ，Ahinkorah BO ... -  《BMC PUBLIC HEALTH》

Vaccine preventable diseases and vaccination coverage in Aboriginal and Torres Strait Islander people, Australia 2006-2010.

This report outlines the major positive impacts of vaccines on the health of Aboriginal and Torres Strait Islander people from 2007 to 2010, as well as highlighting areas that require further attention. Hepatitis A disease is now less common in Aboriginal and Torres Strait Islander children than in their non-Indigenous counterparts. Hepatitis A vaccination for Aboriginal and Torres Strait Islander children was introduced in 2005 in the high incidence jurisdictions of the Northern Territory, Queensland, South Australia and Western Australia. In 2002–2005, there were 20 hospitalisations for hepatitis A in Aboriginal and Torres Strait Islander children aged<5 years--over 100 times more common than in other children--compared to none in 2006/07–2009/10. With respect to invasive pneumococcal disease (IPD), there has been a reduction of 87% in notifications of IPD caused by serotypes contained in 7-valent pneumococcal conjugate vaccine (7vPCV) since the introduction of the childhood 7vPCV program among Aboriginal and Torres Strait Islander children. However, due to a lower proportion of IPD caused by 7vPCV types prior to vaccine introduction, the decline in total IPD notifications has been less marked in Aboriginal and Torres Strait Islander children than in other children. Higher valency vaccines (10vPCV and 13vPCV) which replaced 7vPCV from 2011 are likely to result in a greater impact on IPD and potentially also non-invasive disease, although disease caused by non-vaccine serotypes appears likely to be an ongoing problem. Among Aboriginal and Torres Strait Islander people aged ≥50 years, there have been recent increases in IPD, which appear related to low vaccination coverage and highlight the need for improved coverage in this high-risk target group. Since routine meningococcal C vaccination for infants and the high-school catch-up program were implemented in 2003, there has been a significant decrease in cases caused by serogroup C. However, the predominant serogroup responsible for disease remains serogroup B, and Aboriginal and Torres Strait Islander children have significantly higher incidence of serogroup B disease than other children. A vaccine against meningococcus type B has now been licensed in Australia. The decline in severe rotavirus disease after vaccine introduction in 2007 was less marked in Aboriginal and Torres Strait Islander children than in other children. By far the highest hospitalisation rates continue to occur among Aboriginal and Torres Strait Islander children in the Northern Territory. Consideration of the role of age cut-offs and 2-dose versus 3-dose schedules may be necessary. Genotype surveillance is critically important to allow detection of any possible emergence of genotypes for which there is lower vaccine-derived immunity. Although Haemophilus influenzae type b disease rates have decreased significantly since the introduction of vaccines in 1993, the plateauing of rates in Aboriginal and Torres Strait Islander children, and increasing disparity with other children, are concerning. While it is possible that higher disease rates in young infants could be associated with the later age of protection from the newer 4-dose schedule, it is also possible that higher vaccine immunogenicity will result in reduced carriage. Close monitoring is important to detect any re-emergence of Hib disease as soon as possible. Pandemic and seasonal influenza and pneumonia are other diseases with comparatively higher rates in Aboriginal and Torres Strait Islander people. For Aboriginal and Torres Strait Islander people aged≥50 years, it is unclear whether or not there has been a decline in influenza hospitalisations since the start of the National Indigenous Pneumococcal and Influenza Immunisation Program in 1999, but hospitalisation rates are still higher in Aboriginal and Torres Strait Islander people. Achieving high coverage in those aged≥15 years should now be a priority. A prolonged mumps outbreak occurred in 2007/2008 predominantly affecting Aboriginal and Torres Strait Islander adolescents and young adults in north-western Australia. A potential contributor to this mumps outbreak was greater waning of immunity after receipt of the first dose of mumps-containing vaccine at 9, rather than 12, months of age in the Northern Territory in the 1980s and 1990s. However, outbreaks in Australia and overseas have subsided without additional boosters being routinely implemented. Pertussis epidemics continue to occur in Australia and affect both Aboriginal and Torres Strait Islander and other people. Parents are now encouraged to have their infant’s first vaccination given at 6 weeks of age, instead of the usual 2 months, and this is being successfully implemented for Aboriginal and Torres Strait Islander and other infants. Timely provision of the 4- and 6-month doses remains very important. High coverage for standard vaccines, poor timeliness of vaccination and lower coverage for ‘Indigenous only’ vaccines are continuing features of vaccination programs for Aboriginal and Torres Strait Islander people. There have been some improvements in vaccination timeliness in recent years for all children, but disparities remain between Aboriginal and Torres Strait Islander and other children. Poor timeliness reduces the potential benefits of vaccination, most importantly for pneumococcal, Hib and rotavirus vaccines in infants. The age cut-offs for rotavirus vaccines present a particular challenge for timely vaccination, limiting the capacity for catching up on late vaccination and resulting in lower overall coverage. This is more pronounced for the 3-dose than for the 2-dose rotavirus schedule. Coverage for vaccines recommended only for Aboriginal and Torres Strait Islander children continues to remain substantially lower than that for universal vaccines. This underlines the importance of immunisation providers establishing the Indigenous status of their clients, so that additional vaccines are offered as appropriate. The absence of any coverage data for Aboriginal and Torres Strait Islander adolescents, or for adults since 2004/2005, is a substantial obstacle to implementing and improving programs in these age groups.

Naidu L ，Chiu C ，Habig A ，Lowbridge C ，Jayasinghe S ，Wang H ，McIntyre P ，Menzies R ... -  《-》

Qualitative evidence synthesis informing our understanding of people's perceptions and experiences of targeted digital communication.

Health communication is an area where changing technologies, particularly digital technologies, have a growing role to play in delivering and exchanging health information between individuals, communities, health systems, and governments.[1] Such innovation has the potential to strengthen health systems and services, with substantial investments in digital health already taking place, particularly in low‐ and middle‐income countries. Communication using mobile phones is an important way of contacting individual people and the public more generally to deliver and exchange health information. Such technologies are used increasingly in this capacity, but poor planning and short‐term projects may be limiting their potential for health improvement. The assumption that mobile devices will solve problems that other forms of communication have not is also prevalent. In this context, understanding people's views and experiences may lead to firmer knowledge on which to build better programs. A qualitative evidence synthesis by Heather Ames and colleagues on clients' perceptions and experiences of targeted digital communication focuses on a particular type of messaging – targeted messages from health services delivered to particular group(s) via mobile devices, in this case looking at communicating with pregnant women and parents of young children, and with adults and teenagers about sexual health and family planning.[2] These areas of reproductive, maternal, newborn, child, and adolescent health (RMNCAH) are where important gains have been made worldwide, but there remains room for improvement. Ames and colleagues sought to examine and understand people's perceptions and experiences of using digital targeted client communication. This might include communication in different formats and with a range of purposes related to RMNCAH – for example, receiving text message reminders to take medicines (e.g. HIV medicines) or go to appointments (such as childhood vaccination appointments), or phone calls offering information or education (such as about breastfeeding or childhood illnesses), support (e.g. providing encouragement to change behaviours) or advice (such as advising about local healthcare services). These communication strategies have the potential to improve health outcomes by communicating with people or by supporting behaviour change. However, changing people's health behaviours to a significant and meaningful degree is notoriously challenging and seldom very effective across the board. There are a multitude of systematic reviews of interventions aiming to change behaviours of both patients and providers, with the overall objective of improving health outcomes – many of which show little or no average effects across groups of people.[3] This evidence synthesis is therefore important as it may help to understand why communicating with people around their health might (or might not) change behaviours and improve consequent health outcomes. By examining the experiences and perspectives of those receiving the interventions, this qualitative evidence synthesis allows us to better understand the interventions' acceptability and usefulness, barriers to their uptake, and factors to be considered when planning implementation. The synthesis looked at 35 studies from countries around the world, focussing on communication related to RMNCAH. Of the 35 studies, 16 were from high‐income countries, mainly the United States, and 19 were from low‐ or middle‐income countries, mainly African countries. Many of the studies presented hypothetical scenarios. The findings from the synthesis are mixed and give us a more nuanced picture of the role of targeted digital communication. People receiving targeted digital communications from health services often liked and valued these contacts, feeling supported and connected by them. However, some also reported problems with the use of these technologies, which may represent barriers to their use. These included practical or technical barriers like poor network or Internet access, as well as cost, language, technical literacy, reading or issues around confidentiality, especially where personal health conditions were involved. Access to mobile phones may also be a barrier, particularly for women and adolescents who may have to share or borrow a phone or who have access controlled by others. In such situations it may be difficult to receive communications or to maintain privacy of content. The synthesis also shows that people's experiences of these interventions are influenced by factors such as the timing of messages, their frequency and content, and their trust in the sender. Identifying key features of such communications by the people who use them might therefore help to inform future choices about how and when such messaging is used. The authors used their knowledge from 25 separate findings to list ten implications for practice. This section of the review is hugely valuable, making a practical contribution to assist governments and public health agencies wishing to develop or improve their delivery of digital health. The implications serve as a list of points to consider, including issues of access (seven different aspects are considered), privacy and confidentiality, reliability, credibility and trust, and responsiveness to the needs and preferences of users. In this way, qualitative evidence is building a picture of how to better communicate with people about health. For example, an earlier 2017 Cochrane qualitative evidence synthesis by Ames, Glenton and Lewin on parents' and informal caregivers' views and experiences of communication about routine childhood vaccination provides ample evidence that may help program managers to deliver or plan communication interventions in ways that are responsive to and acceptable to parents.[4] The qualitative synthesis method, therefore, puts a spotlight on how people's experiences of health and health care in the context of their lives may lead to the design of better interventions, as well as to experimental studies which take more account of the diversity that exists in people's attitudes and decision‐making experiences.[5] In the case of this qualitative evidence synthesis by Ames and colleagues, the method pulled together a substantial body of research (35 data‐rich studies were sampled from 48 studies identified, with the high‐to‐moderate confidence in the evidence for 13 of the synthesized findings). The evidence from this review can inform the development of interventions, and the design of trials and their implementation. While waiting for such new trials or trial evidence on effects to emerge, decision‐makers can build their programs on the highly informative base developed by this review. This qualitative evidence synthesis, alongside other reviews, has informed development by the World Health Organization of its first guideline for using digital technologies for health systems strengthening,[1, 6] part of a comprehensive program of work to better understand and support implementation of such new technologies.

Ryan R ，Hill S 《Cochrane Database of Systematic Reviews》

Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.

Survival estimation for patients with symptomatic skeletal metastases ideally should be made before a type of local treatment has already been determined. Currently available survival prediction tools, however, were generated using data from patients treated either operatively or with local radiation alone, raising concerns about whether they would generalize well to all patients presenting for assessment. The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA), trained with institution-based data of surgically treated patients, and the Metastases location, Elderly, Tumor primary, Sex, Sickness/comorbidity, and Site of radiotherapy model (METSSS), trained with registry-based data of patients treated with radiotherapy alone, are two of the most recently developed survival prediction models, but they have not been tested on patients whose local treatment strategy is not yet decided. (1) Which of these two survival prediction models performed better in a mixed cohort made up both of patients who received local treatment with surgery followed by radiotherapy and who had radiation alone for symptomatic bone metastases? (2) Which model performed better among patients whose local treatment consisted of only palliative radiotherapy? (3) Are laboratory values used by SORG-MLA, which are not included in METSSS, independently associated with survival after controlling for predictions made by METSSS? Between 2010 and 2018, we provided local treatment for 2113 adult patients with skeletal metastases in the extremities at an urban tertiary referral academic medical center using one of two strategies: (1) surgery followed by postoperative radiotherapy or (2) palliative radiotherapy alone. Every patient's survivorship status was ascertained either by their medical records or the national death registry from the Taiwanese National Health Insurance Administration. After applying a priori designated exclusion criteria, 91% (1920) were analyzed here. Among them, 48% (920) of the patients were female, and the median (IQR) age was 62 years (53 to 70 years). Lung was the most common primary tumor site (41% [782]), and 59% (1128) of patients had other skeletal metastases in addition to the treated lesion(s). In general, the indications for surgery were the presence of a complete pathologic fracture or an impending pathologic fracture, defined as having a Mirels score of ≥ 9, in patients with an American Society of Anesthesiologists (ASA) classification of less than or equal to IV and who were considered fit for surgery. The indications for radiotherapy were relief of pain, local tumor control, prevention of skeletal-related events, and any combination of the above. In all, 84% (1610) of the patients received palliative radiotherapy alone as local treatment for the target lesion(s), and 16% (310) underwent surgery followed by postoperative radiotherapy. Neither METSSS nor SORG-MLA was used at the point of care to aid clinical decision-making during the treatment period. Survival was retrospectively estimated by these two models to test their potential for providing survival probabilities. We first compared SORG to METSSS in the entire population. Then, we repeated the comparison in patients who received local treatment with palliative radiation alone. We assessed model performance by area under the receiver operating characteristic curve (AUROC), calibration analysis, Brier score, and decision curve analysis (DCA). The AUROC measures discrimination, which is the ability to distinguish patients with the event of interest (such as death at a particular time point) from those without. AUROC typically ranges from 0.5 to 1.0, with 0.5 indicating random guessing and 1.0 a perfect prediction, and in general, an AUROC of ≥ 0.7 indicates adequate discrimination for clinical use. Calibration refers to the agreement between the predicted outcomes (in this case, survival probabilities) and the actual outcomes, with a perfect calibration curve having an intercept of 0 and a slope of 1. A positive intercept indicates that the actual survival is generally underestimated by the prediction model, and a negative intercept suggests the opposite (overestimation). When comparing models, an intercept closer to 0 typically indicates better calibration. Calibration can also be summarized as log(O:E), the logarithm scale of the ratio of observed (O) to expected (E) survivors. A log(O:E) > 0 signals an underestimation (the observed survival is greater than the predicted survival); and a log(O:E) < 0 indicates the opposite (the observed survival is lower than the predicted survival). A model with a log(O:E) closer to 0 is generally considered better calibrated. The Brier score is the mean squared difference between the model predictions and the observed outcomes, and it ranges from 0 (best prediction) to 1 (worst prediction). The Brier score captures both discrimination and calibration, and it is considered a measure of overall model performance. In Brier score analysis, the "null model" assigns a predicted probability equal to the prevalence of the outcome and represents a model that adds no new information. A prediction model should achieve a Brier score at least lower than the null-model Brier score to be considered as useful. The DCA was developed as a method to determine whether using a model to inform treatment decisions would do more good than harm. It plots the net benefit of making decisions based on the model's predictions across all possible risk thresholds (or cost-to-benefit ratios) in relation to the two default strategies of treating all or no patients. The care provider can decide on an acceptable risk threshold for the proposed treatment in an individual and assess the corresponding net benefit to determine whether consulting with the model is superior to adopting the default strategies. Finally, we examined whether laboratory data, which were not included in the METSSS model, would have been independently associated with survival after controlling for the METSSS model's predictions by using the multivariable logistic and Cox proportional hazards regression analyses. Between the two models, only SORG-MLA achieved adequate discrimination (an AUROC of > 0.7) in the entire cohort (of patients treated operatively or with radiation alone) and in the subgroup of patients treated with palliative radiotherapy alone. SORG-MLA outperformed METSSS by a wide margin on discrimination, calibration, and Brier score analyses in not only the entire cohort but also the subgroup of patients whose local treatment consisted of radiotherapy alone. In both the entire cohort and the subgroup, DCA demonstrated that SORG-MLA provided more net benefit compared with the two default strategies (of treating all or no patients) and compared with METSSS when risk thresholds ranged from 0.2 to 0.9 at both 90 days and 1 year, indicating that using SORG-MLA as a decision-making aid was beneficial when a patient's individualized risk threshold for opting for treatment was 0.2 to 0.9. Higher albumin, lower alkaline phosphatase, lower calcium, higher hemoglobin, lower international normalized ratio, higher lymphocytes, lower neutrophils, lower neutrophil-to-lymphocyte ratio, lower platelet-to-lymphocyte ratio, higher sodium, and lower white blood cells were independently associated with better 1-year and overall survival after adjusting for the predictions made by METSSS. Based on these discoveries, clinicians might choose to consult SORG-MLA instead of METSSS for survival estimation in patients with long-bone metastases presenting for evaluation of local treatment. Basing a treatment decision on the predictions of SORG-MLA could be beneficial when a patient's individualized risk threshold for opting to undergo a particular treatment strategy ranged from 0.2 to 0.9. Future studies might investigate relevant laboratory items when constructing or refining a survival estimation model because these data demonstrated prognostic value independent of the predictions of the METSSS model, and future studies might also seek to keep these models up to date using data from diverse, contemporary patients undergoing both modern operative and nonoperative treatments. Level III, diagnostic study.

Lee CC ，Chen CW ，Yen HK ，Lin YP ，Lai CY ，Wang JL ，Groot OQ ，Janssen SJ ，Schwab JH ，Hsu FM ，Lin WH ... -  《-》

Socio-economic and geographical inequalities in neonatal mortality rates in Sierra Leone, 2008-2019.

Sierra Leone has reduced neonatal mortality rates(NMR) in recent years. Despite this progress, disparities in newborn survival persist across socio-economic and geographic areas. This study examined the inequalities in neonatal mortality rates in Sierra Leone between 2008 and 2019. We utilized data from the Sierra Leone Demographic Health Survey rounds conducted in 2008, 2013, and 2019. We used the World Health Organisation Health Equity Assessment Toolkit to calculate simple measures of inequality (Difference, and Ratio), and complex measures of inequality (Population Attributable Risk, and Population Attributable Fraction). Inequality in neonatal mortality rate was calculated on six stratifiers: maternal age, maternal economic status, maternal level of education, place of residence, sex of the child, and sub-national province. Neonatal mortality rate decreased in Sierra Loene from 48.6 deaths per 1,000 live births in 2008 to 29.6 deaths per 1,000 live births in 2019. There was an increase in age-related inequality from a Difference of 0.7 deaths per 1,000 live births in 2008 to 4.3 deaths per 1,000 live births in 2019. Economic inequality decreased from a Difference of 26.8 deaths per 1,000 live births in 2008 to -3.4 deaths per 1,000 live births in 2019. Inequality in education decreased from a Difference of 4.6 deaths per 1,000 live births in 2008 to -4.2 deaths per 1,000 live births in 2019. Inequality increased from a Difference of - 0.5 deaths per 1,000 live births in 2008 to -4.2 deaths per 1,000 live births in 2019 for place of residence. For the child's sex, the inequality increased from a Difference of - 7.9 deaths per 1,000 live births in 2008 to -11.1 deaths per 1,000 live births in 2019. Provincial inequality increased slightly from a Difference of 14.0 deaths per 1,000 live births in 2008 to 14.4 deaths per 1,000 live births in 2019. The findings show a decline in the national neonatal mortality rate from 2008 to 2019, indicating improvements in healthcare and maternal support. While economic and educational inequalities have decreased, especially in education, sustaining these gains is essential for equitable healthcare access. Despite this progress, inequalities based on age, residence, child's sex, and province still exist, and have increased between 2008 and 2019. Policymakers should focus on targeted programs for vulnerable age groups and sexes, and develop geographical strategies to ensure uniform improvements in neonatal health.

Osborne A ，Bai-Sesay AU ，Bangura C ，Rogers H ，Ahinkorah BO ... -  《BMC Pediatrics》