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Nevin Manimala Statistics

Determinants of breast self-examination practice among women attending pastoralist health facilities, Southern Ethiopia: a cross-sectional study

BMC Womens Health. 2023 Jan 11;23(1):14. doi: 10.1186/s12905-023-02158-w.

ABSTRACT

BACKGROUND: Breast cancer remains the most serious public health problem affecting millions of women worldwide. Despite various studies regarding breast self-examination practices conducted among health professionals and students in Ethiopia, limited information was found on women attending health care services in the pastoralist community. This study aimed to identify the determinants of breast self-examination practice (BSE) among women attending pastoralist health facilities in Southern Ethiopia.

METHODS: An institutional-based cross-sectional study was conducted among 421 women who were attending family planning services in pastoralist health facilities in South Omo Zone, Southern Ethiopia from January to February 2022 using systematic random sampling to select a woman from each health facility in Jinka town. Data were collected using structured, pretested, and interviewer-administered questionnaires. Descriptive statistics such as proportions, means, and standard deviations were used to describe each relevant variable. Bivariate and multivariate logistic regression analyses were used to identify the determinants of BSE practices among women.

RESULT: The mean age of the women was 25.43 ± 6.66 years. Fifty-four percent (n = 173) of the women had heard of BSE from health professionals. Eighty-nine (21.1%) women had undergone BSE. Women who resided in the urban areas (AOR = 6.79, CI: 3.40, 13.56), attained at least primary education and above (AOR = 8.96, CI: 4.14, 19.35), heard about BSE (AOR = 4.07, CI: 2.07, 7.98), and had a family history of breast cancer (AOR = 7.46, CI = 3.27, 17.00) were significantly associated with BSE practice.

CONCLUSION AND RECOMMENDATION: Our study showed that women’s practice of BSE was lower when compared with the local studies. We recommend health care professionals and others working in the area improve ways of increasing awareness about breast cancer, including its risk, and the need for BSE.

PMID:36627644 | DOI:10.1186/s12905-023-02158-w

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Nevin Manimala Statistics

Clinician and computer: a study on doctors’ perceptions of artificial intelligence in skeletal radiography

BMC Med Educ. 2023 Jan 10;23(1):16. doi: 10.1186/s12909-022-03976-6.

ABSTRACT

BACKGROUND: Traumatic musculoskeletal injuries are a common presentation to emergency care, the first-line investigation often being plain radiography. The interpretation of this imaging frequently falls to less experienced clinicians despite well-established challenges in reporting. This study presents novel data of clinicians’ confidence in interpreting trauma radiographs, their perception of AI in healthcare, and their support for the development of systems applied to skeletal radiography.

METHODS: A novel questionnaire was distributed through a network of collaborators to clinicians across the Southeast of England. Over a three-month period, responses were compiled into a database before undergoing statistical review.

RESULTS: The responses of 297 participants were included. The mean self-assessed knowledge of AI in healthcare was 3.68 out of ten, with significantly higher knowledge reported by the most senior doctors (Specialty Trainee/Specialty Registrar or above = 4.88). 13.8% of participants reported an awareness of AI in their clinical practice. Overall, participants indicated substantial favourability towards AI in healthcare (7.87) and in AI applied to skeletal radiography (7.75). There was a preference for a hypothetical system indicating positive findings rather than ruling as negative (7.26 vs 6.20).

CONCLUSIONS: This study identifies clear support, amongst a cross section of student and qualified doctors, for both the general use of AI technology in healthcare and in its application to skeletal radiography for trauma. The development of systems to address this demand appear well founded and popular. The engagement of a small but reticent minority should be sought, along with improving the wider education of doctors on AI.

PMID:36627640 | DOI:10.1186/s12909-022-03976-6

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Regional disparities and influencing factors of high quality medical resources distribution in China

Int J Equity Health. 2023 Jan 10;22(1):8. doi: 10.1186/s12939-023-01825-6.

ABSTRACT

BACKGROUND: With the gradual increase of residents’ income and the continuous improvement of medical security system, people’s demand for pursuing higher quality and better medical and health services has been released. However, so far little research has been published on China’s high quality medical resources (HQMR). This study aims to understand the spatiotemporal variation trend of HQMR from 2006 to 2020, analyze regional disparity of HQMR in 2020, and further explore the main factors influencing the distribution of HQMR in China.

METHODS: The study selected Class III level A hospitals (the highest level medical institutions in China) to represent HQMR. Descriptive statistical methods were used to address the changes in the distribution of HQMR from 2006 to 2020. Lorentz curve, Gini coefficient (G), Theil index (T) and High-quality health resource density index (HHRDI) were used to calculate the degree of inequity. The geographical detector method was used to reveal the key factors influencing the distribution of HQMR.

RESULTS: The total amount of HQMR in China had increased year by year, from 647 Class III level A hospitals in 2006 to 1580 in 2020. In 2020, G for HQMR by population was 0.166, while by geographic area was 0.614. T was consistent with the results for G, and intra-regional contribution rates were higher than inter-regional contribution rates. HHRDI showed that Beijing, Shanghai, and Tianjin had the highest allocated amounts of HQMR. The results of the geographical detector showed that total health costs, government health expenditure, size of resident populations, GDP, number of medical colleges had a significant impact on the spatial distribution of HQMR and the q values were 0.813, 0.781, 0.719, 0.661, 0.492 respectively. There was an interaction between the influencing factors.

CONCLUSIONS: China’s total HQMR is growing rapidly but is relatively inadequate. The distribution of HQMR by population is better than by geography, and the distribution by geography is less equitable. Population size and geographical area both need to be taken into account when formulating policies, rather than simply increasing the number of HQMR.

PMID:36627636 | DOI:10.1186/s12939-023-01825-6

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Nevin Manimala Statistics

Outlier identification and monitoring of institutional or clinician performance: an overview of statistical methods and application to national audit data

BMC Health Serv Res. 2023 Jan 10;23(1):23. doi: 10.1186/s12913-022-08995-z.

ABSTRACT

BACKGROUND: Institutions or clinicians (units) are often compared according to a performance indicator such as in-hospital mortality. Several approaches have been proposed for the detection of outlying units, whose performance deviates from the overall performance.

METHODS: We provide an overview of three approaches commonly used to monitor institutional performances for outlier detection. These are the common-mean model, the ‘Normal-Poisson’ random effects model and the ‘Logistic’ random effects model. For the latter we also propose a visualisation technique. The common-mean model assumes that the underlying true performance of all units is equal and that any observed variation between units is due to chance. Even after applying case-mix adjustment, this assumption is often violated due to overdispersion and a post-hoc correction may need to be applied. The random effects models relax this assumption and explicitly allow the true performance to differ between units, thus offering a more flexible approach. We discuss the strengths and weaknesses of each approach and illustrate their application using audit data from England and Wales on Adult Cardiac Surgery (ACS) and Percutaneous Coronary Intervention (PCI).

RESULTS: In general, the overdispersion-corrected common-mean model and the random effects approaches produced similar p-values for the detection of outliers. For the ACS dataset (41 hospitals) three outliers were identified in total but only one was identified by all methods above. For the PCI dataset (88 hospitals), seven outliers were identified in total but only two were identified by all methods. The common-mean model uncorrected for overdispersion produced several more outliers. The reason for observing similar p-values for all three approaches could be attributed to the fact that the between-hospital variance was relatively small in both datasets, resulting only in a mild violation of the common-mean assumption; in this situation, the overdispersion correction worked well.

CONCLUSION: If the common-mean assumption is likely to hold, all three methods are appropriate to use for outlier detection and their results should be similar. Random effect methods may be the preferred approach when the common-mean assumption is likely to be violated.

PMID:36627627 | DOI:10.1186/s12913-022-08995-z

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Nevin Manimala Statistics

Factors associated with pregnancy and induced abortion among street-involved female adolescents in two Nigerian urban cities: a mixed-method study

BMC Health Serv Res. 2023 Jan 11;23(1):25. doi: 10.1186/s12913-022-09014-x.

ABSTRACT

OBJECTIVES: This study determined the correlates of unwanted pregnancy and induced abortion among sexually active female street-involved adolescents (SIAs) aged 10-19 years in two urban cities in South-west, Nigeria.

METHODS: The data for this study were extracted from a larger mixed-method survey dataset on the sexual and reproductive health (SRH) of 1505 street-involved young people aged 10 to 24 years. For the quantitative data, the explanatory variables were age, history of school attendance, employment status, religion, living arrangement and city of residence. The study outcomes were a history of pregnancy and a history of induced abortion of last pregnancy. Binomial regression analysis was performed to determine the association between the explanatory and outcome variables. For the qualitative data generated through focus group discussions and in-depth-interviews, inductive and deductive approaches were used in conducting a thematic analysis to explore the perspectives and experiences of SIA on pregnancy and induced abortion.

RESULTS: Of the 424 female SIAs, 270 (63.7%) reported having had sex. Sixty-four (23.7%) respondents had a history of pregnancy, of which 38 (59.4%) gave a history of induced abortion of the last pregnancy. A history of school attendance significantly reduced the likelihood of being pregnant (AOR: 0.42, 95% C.I: 0.19-0.91), while 15-19-years-old SIAs who were pregnant were significantly less likely to abort (AOR: 0.13, 95% C.I: 0.02-0.77). Qualitative reports indicated that unintended pregnancy and induced abortion was a common experience among the sexually active SIAs. Many participants were aware of the methods of, and places to induce abortion.

CONCLUSION: A large proportion of SIAs are sexually active with a high incidence of unintended pregnancy and a high rate of unsafe abortion. Access of female SIAs to education can reduce the risk of unintended pregnancy. Attention needs to be paid to how SIAs can have access to contraception.

PMID:36627625 | DOI:10.1186/s12913-022-09014-x

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Nevin Manimala Statistics

Readiness of rural health facilities to provide immediate postpartum care in Uganda

BMC Health Serv Res. 2023 Jan 10;23(1):22. doi: 10.1186/s12913-023-09031-4.

ABSTRACT

BACKGROUND: Nearly 60% of maternal and 45% of newborn deaths occur within 24 h after delivery. Immediate postpartum monitoring could avert death from preventable causes including postpartum hemorrhage, and eclampsia among mothers, and birth asphyxia, hypothermia, and sepsis for babies. We aimed at assessing facility readiness for the provision of postpartum care within the immediate postpartum period.

METHODS: A cross-sectional study involving 40 health facilities within the greater Mpigi region, Uganda, was done. An adapted health facility assessment tool was employed in data collection. Data were double-entered into Epi Data version 4.2 and analyzed using STATA version 13 and presented using descriptive statistics.

RESULTS: Facility readiness for the provision of postpartum care was low (median score 24% (IQR: 18.7, 26.7). Availability, and use of up-to-date, policies, guidelines and written clinical protocols for identifying, monitoring, and managing postpartum care were inconsistent across all levels of care. Lack of or non-functional equipment poses challenges for screening, diagnosing, and treating postnatal emergencies. Frequent stock-outs of essential drugs and supplies, particularly, hydralazine, antibiotics, oxygen, and blood products for transfusions were more common at health centers compared to hospitals. Inadequate human resources and sub-optimal supplies inhibit the proper functioning of health facilities and impact the quality of postpartum care. Overall, private not-for-profit health facilities had higher facility readiness scores.

CONCLUSIONS: Our findings suggest sub-optimal rural health facility readiness to assess, monitor, and manage postpartum emergencies to reduce the risk of preventable maternal/newborn morbidity and mortality. Strengthening health system inputs and supply side factors could improve facility capacity to provide quality postpartum care.

PMID:36627623 | DOI:10.1186/s12913-023-09031-4

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Nevin Manimala Statistics

Late initiation of antenatal care among pregnant women in Addis Ababa city, Ethiopia: a facility based cross-sectional study

BMC Womens Health. 2023 Jan 10;23(1):13. doi: 10.1186/s12905-022-02148-4.

ABSTRACT

BACKGROUND: Antenatal care (ANC) is the care given to pregnant women to prevent poor feto-maternal outcomes during pregnancy. The World Health Organization recommends first ANC visit be started as early as possible within in 12 weeks of gestation. Although there is improvement in overall ANC coverage, a sizable proportion of pregnant women in Ethiopia delay the time to initiate their first ANC visit. Therefore, this study aimed to investigate factors associated with late ANC initiation among pregnant women attending public health centers in Addis Ababa, Ethiopia.

METHODS: A facility-based cross-sectional study was conducted among 407 randomly selected pregnant women who attended ANC at selected public health centers in Addis Ababa from December 2020 to January 2021. Data were collected using pretested and structured questionnaires through a face-to-face interview and reviewing medical records. Binary and multivariable logistic regressions were fitted sequentially to identify predictors for late ANC initiation. Adjusted odds ratios with 95% CI were computed to measure the strength of associations and statistical significance was declared at a p-value < 0.05.

RESULT: This study showed that 47% of pregnant women started their first ANC visit late.The age of 30 years and above, being married, unplanned pregnancy, having a wrong perception about the timing of the first ANC visit, and not having ANC for previous pregnancy was significantly associated with late ANC initiation.

CONCLUSION: Nearly half of the women initiated their first ANC visit late. Tailored interventions aimed at promoting early ANC initiation should target married women, women with an unplanned pregnancy, women who perceived the wrong timing of their first ANC, and those who have no ANC for their previous pregnancy.

PMID:36627620 | DOI:10.1186/s12905-022-02148-4

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Nevin Manimala Statistics

Female genital mutilation/cutting incidence, diagnostic capacities, and obstetric outcomes among migrant women: a single-center retrospective analysis in a 10-year birth cohort in Austria

BMC Public Health. 2023 Jan 10;23(1):68. doi: 10.1186/s12889-022-14773-7.

ABSTRACT

INTRODUCTION: Practical experience in the care of women with female genital mutilation/cutting (FGM/C) is uncommon in Austria. However, affected women require specialized gynecological and obstetric care. In our region, there is currently neither an official counseling center nor specially trained medical personnel to address the special needs of women after FGM/C. The aim of this study was to determine the potential need for obstetric care for women who have undergone FGM/C in our region.

METHODS: We retrospectively reviewed women presenting for delivery at the LKH University Hospital Graz from 1.1.2010 until 31.12.2020 regarding the place of birth and/or the nationality of the mother to filter out women from a country with known FGM/C prevalence according to the UNICEF Global Database. Data on the documentation of FGM/C as well as demographic maternal data and peripartal parameters were gathered. Periods before and after the European refugee crisis in 2015 were compared.

RESULTS: During the study period, a total of 35,628 deliveries took place at our hospital. 856 (2.4%) deliveries of 539 women were included due to nationality or birthplace in a country with known FGM/C prevalence. We found only 17/539 (3.2%) documented FGM/C cases. The estimated FGM/C prevalence among those patients was, however, 208/539 (38,6%). Women affected by FGM/C in our collective were most frequently from Nigeria, Egypt, Iraq, Ghana, and Somalia. No statistically significant increase in deliveries during the study period in the overall study cohort was observed, with the exception of deliveries of Somali women (p = 0.000).

DISCUSSION: The discrepancy between documented and expected FGM/C rates (3,2% vs. 38,6%) in our collective suggests that most cases of FGM/C go undetected among women delivering in Austria. These data show the great need for special training for obstetricians and targeted contact points for affected women.

PMID:36627618 | DOI:10.1186/s12889-022-14773-7

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Nevin Manimala Statistics

Do health service contacts with community health workers influence the intention to use modern contraceptives among non-users in rural communities? Findings from a cross-sectional study in Nigeria

BMC Health Serv Res. 2023 Jan 10;23(1):24. doi: 10.1186/s12913-023-09032-3.

ABSTRACT

BACKGROUND: Studies in many developing countries have shown that community health workers (CHWs) are valuable for boosting contraceptive knowledge and usage. However, in spite of the evidence, studies in Nigeria have rarely examined whether in the absence of skilled health personnel such as doctors and nurses in rural and remote communities, the health service contacts of non-users with CHWs drive the intention to use modern contraceptives. This study, therefore, examines the extent to which health service contacts with CHWs are associated with the intention to use modern contraceptives among non-users in rural communities of Nigeria.

METHODS: This study adopted a descriptive cross-sectional design. Data were extracted from the most recent Nigeria Demographic and Health Survey (NDHS). The study analyzed a weighted sample of 12,140 rural women. The outcome variable was the intention to use modern contraceptives. The main explanatory variable was health service contacts with CHWs. Statistical analyses were performed at three levels with the aid of Stata version 14. Three multivariable regression models were estimated using an adjusted Odds Ratio (aOR) with a 95% confidence interval. Statistical significance was set at p < 0.05.

RESULTS: Findings showed that more than a quarter (29.0%) of women intends to use modern contraceptives. Less than one-fifth (15.9%) of the women had health service contacts with CHWs. In Model 1, women who had health service contacts with CHWs were more likely to intend to use modern contraceptives (aOR =1.430, 95% CI: 1.212-1.687). Likewise, in Model 2, women who had health service contacts with CHWs had a higher likelihood of intending to use modern contraceptives (aOR = 1.358, 95% CI: 1.153-1.599). In Model 3, the odds of intention to use modern contraceptives were higher among women who had health service contacts with CHWs (aOR =1.454, 95% CI: 1.240-1.706).

CONCLUSION: In rural areas of Nigeria, health service contacts with CHWs are significantly associated with the intention to use modern contraceptives. Family planning programmers should leverage the patronage of CHWs for the purpose of family planning demand generation in rural areas.

PMID:36627614 | DOI:10.1186/s12913-023-09032-3

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Nevin Manimala Statistics

Does China’s Equalization of Basic Public Health Services policy improve delivery care for migrant women?

BMC Public Health. 2023 Jan 11;23(1):74. doi: 10.1186/s12889-022-14950-8.

ABSTRACT

BACKGROUND: As of 2020, 1 in 4 people in China is a domestic migrant. However, their lack of access to health care in destination cities has been largely neglected by the Chinese government until recently.

METHODS: Drawing on data from the 2010-2016 China Migrants Dynamic Survey, this study evaluated the impact of a pilot program of the Equalization of Basic Public Health Services launched in 2014 and focused on place of childbirth, an important indicator of delivery care. A difference-in-differences design was employed for statistical inference.

RESULTS: The migrant pilot program increased the likelihood of a migrant childbirth at a migration destination by about 4 to 8 percentage points, depending on the model specification. Further analyses revealed that this positive effect was short-term and benefited relatively better-off migrant families.

CONCLUSION: The migrant pilot program improved delivery care for migrant women. The Chinese government needs to expand this pilot program to more cities and improve its benefits to better serve the massive migrant population.

PMID:36627595 | DOI:10.1186/s12889-022-14950-8