scholarly journals Social Contexts of Infant Feeding and Infant Feeding Decisions

2015 ◽  
Vol 32 (1) ◽  
pp. 132-140 ◽  
Author(s):  
Ellen J. Schafer ◽  
Natalie A. Williams ◽  
Siri Digney ◽  
Marion E. Hare ◽  
Sato Ashida
Keyword(s):  
Infant Feeding ◽  
Health Care Providers ◽  
Low Income ◽  
Social Contexts ◽  
Future Research ◽  
Network Member ◽  
Care Providers ◽  
The Social ◽  
Low Income Mothers ◽  
Infant Feeding Decisions

Background: Infant feeding takes place within a network of social relationships. However, the social context in which infant feeding advice is received remains underresearched. Objective: The objective of this study was to evaluate the social contexts of infant feeding by examining individual and relationship characteristics of mothers and network members associated with advice to exclusively breastfeed, exclusively formula feed, or use a combination of breast milk and formula. Methods: Information about 287 network members was reported by 80 low-income mothers during a one-time survey. Characteristics of relationships associated with mothers receiving advice (exclusively breastfeed/formula feed, combination feed) from each network member were identified using 2-level logistic regression analyses. Results: Mothers had greater odds of receiving advice to exclusively breastfeed from network members who help make feeding decisions (odds ratio [OR], 2.44; 95% confidence interval [CI], 1.35-4.42), exclusively breastfed their own child or children (OR, 6.99; 95% CI, 2.96-16.51), and were health care providers (OR, 4.82; 95% CI, 1.70-13.67). Mothers had greater odds of receiving advice to breastfeed in combination with formula from network members who provided emotional support (OR, 2.45; 95% CI, 1.31-4.55), combination fed their own child or children (OR, 4.85; 95% CI, 1.80-13.05), and had an opinion that was important to the mother (OR, 2.67; 95% CI, 1.13-6.33). Mothers had greater odds of receiving advice to exclusively formula feed from network members who exclusively formula fed their own child or children (OR, 2.23; 95% CI, 1.07-4.66) than those who did not. Conclusion: Social relationship characteristics and network members’ infant feeding experiences may have implications for the advice new mothers receive. Future research should investigate social contexts of infant feeding longitudinally to inform interventions.

scholarly journals Developing and implementing a model of equitable distribution of mentorship in districts with spatial inequities and maldistribution of human resources for maternal and newborn care in Rwanda

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Anaclet Ngabonzima ◽  
Cynthia Kenyon ◽  
Daniel Kpienbaareh ◽  
Isaac Luginaah ◽  
Gisele Mukunde ◽  
...  
Keyword(s):  
Health Care Providers ◽  
Low Income ◽  
Newborn Care ◽  
Lessons Learned ◽  
Maternal And Newborn Health ◽  
Future Research ◽  
Care Providers ◽  
Mortality And Morbidity ◽  
Training Support ◽  
Maternal And Newborn

Abstract Background The shortage of health care providers (HCPs) and inequity in their distribution along with the lack of sufficient and equal professional development opportunities in low-income countries contribute to the high mortality and morbidity of women and newborns. Strengthening skills and building the capacity of all HCPs involved in Maternal and Newborn Health (MNH) is essential to ensuring that mothers and newborns receive the required care in the period around birth. The Training, Support, and Access Model (TSAM) project identified onsite mentorship at primary care Health Centers (HCs) as an approach that could help reduce mortality and morbidity through capacity building of HCPs in Rwanda. This paper presents the results and lessons learnt through the design and implementation of a mentorship model and highlights some implications for future research. Methods The design phase started with an assessment of the status of training in HCs to inform the selection of Hospital-Based Mentors (HBMs). These HBMs took different courses to become mentors. A clear process was established for engaging all stakeholders and to ensure ownership of the model. Then the HBMs conducted monthly visits to all 68 TSAM assigned HCs for 18 months and were extended later in 43 HCs of South. Upon completion of 6 visits, mentees were requested to assist their peers who are not participating in the mentoring programme through a process of peer mentoring to ensure sustainability after the project ends. Results The onsite mentorship in HCs by the HBMs led to equal training of HCPs across all HCs regardless of the location of the HC. Research on this mentorship showed that the training improved the knowledge and self-efficacy of HCPs in managing postpartum haemorrhage (PPH) and newborn resuscitation. The lessons learned include that well trained midwives can conduct successful mentorships at lower levels in the healthcare system. The key challenge was the inconsistency of mentees due to a shortage of HCPs at the HC level. Conclusions The initiation of onsite mentorship in HCs by HBMs with the support of the district health leaders resulted in consistent and equal mentoring at all HCs including those located in remote areas.

Acceptance of the HPV Vaccine in a Multiethnic Sample of Latinx Mothers

2021 ◽  
Vol 31 (3) ◽  
pp. 472-483
Author(s):  
Ana Cristina Lindsay ◽  
Madelyne J. Valdez ◽  
Denisse Delgado ◽  
Emily Restrepo ◽  
Yessica M. Guzmán ◽  
...  
Keyword(s):  
Health Care Providers ◽  
Thematic Analysis ◽  
Hpv Vaccine ◽  
Female Adolescents ◽  
Future Research ◽  
Care Providers ◽  
Foreign Born ◽  
Structured Interviews ◽  
Direct Benefits ◽  
Multiethnic Sample

This descriptive qualitative study explored Latinx mothers’ acceptance of the human papillomavirus (HPV) vaccine for their adolescent children. Data were collected through individual, semi-structured interviews and analyzed using a hybrid method of thematic analysis that incorporated deductive and inductive approaches. Twenty-two ( n = 22), mostly foreign-born, Latinx mothers of male and female adolescents participated in the study. Three main themes and nine subthemes emerged from the analyses. Findings identified the need for increased efforts to raise awareness and knowledge among Latinx mothers of the direct benefits of the HPV vaccine for sons, including stressing prevention of HPV-associated cancers in males. Findings also underscore the need for improved health care providers’ communication and recommendation of the HPV vaccine for Latinx adolescent males. Future research should intervene upon the study’s findings to address barriers that remain and affect Latinx mothers’ acceptance and uptake of the HPV vaccine for their children, in particular their sons.

Ways that nurse practitioner students self-explain during diagnostic reasoning

Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Leah Burt ◽  
Susan Corbridge ◽  
Colleen Corte ◽  
Laurie Quinn ◽  
Lorna Finnegan ◽  
...  
Keyword(s):  
Problem Solving ◽  
Health Care Providers ◽  
Nurse Practitioner ◽  
Descriptive Analysis ◽  
Diagnostic Errors ◽  
Diagnostic Reasoning ◽  
Knowledge Structures ◽  
Future Research ◽  
Biological Knowledge ◽  
Care Providers

Abstract Objectives An important step in mitigating the burden of diagnostic errors is strengthening diagnostic reasoning among health care providers. A promising way forward is through self-explanation, the purposeful technique of generating self-directed explanations to process novel information while problem-solving. Self-explanation actively improves knowledge structures within learners’ memories, facilitating problem-solving accuracy and acquisition of knowledge. When students self-explain, they make sense of information in a variety of unique ways, ranging from simple restatements to multidimensional thoughts. Successful problem-solvers frequently use specific, high-quality self-explanation types. The unique types of self-explanation present among nurse practitioner (NP) student diagnosticians have yet to be explored. This study explores the question: How do NP students self-explain during diagnostic reasoning? Methods Thirty-seven Family NP students enrolled in the Doctor of Nursing Practice program at a large, Midwestern U.S. university diagnosed three written case studies while self-explaining. Dual methodology content analyses facilitated both deductive and qualitative descriptive analysis. Results Categories emerged describing the unique ways that NP student diagnosticians self-explain. Nine categories of inference self-explanations included clinical and biological foci. Eight categories of non-inference self-explanations monitored students’ understanding of clinical data and reflect shallow information processing. Conclusions Findings extend the understanding of self-explanation use during diagnostic reasoning by affording a glimpse into fine-grained knowledge structures of NP students. NP students apply both clinical and biological knowledge, actively improving immature knowledge structures. Future research should examine relationships between categories of self-explanation and markers of diagnostic success, a step in developing prompted self-explanation learning interventions.

scholarly journals Accuracy of State-Level Surveillance during Emerging Outbreaks of Respiratory Viruses: A Model-Based Assessment

2021 ◽  
pp. 0272989X2110222
Author(s):  
Yuwen Gu ◽  
Elise DeDoncker ◽  
Richard VanEnk ◽  
Rajib Paul ◽  
Susan Peters ◽  
...  
Keyword(s):  
Growth Rate ◽  
Data Collection ◽  
Disease Progression ◽  
Health Care Providers ◽  
Growth Rates ◽  
State Level ◽  
Future Research ◽  
Care Providers ◽  
State Surveillance ◽  
First Come First Serve

It is long perceived that the more data collection, the more knowledge emerges about the real disease progression. During emergencies like the H1N1 and the severe acute respiratory syndrome coronavirus 2 pandemics, public health surveillance requested increased testing to address the exacerbated demand. However, it is currently unknown how accurately surveillance portrays disease progression through incidence and confirmed case trends. State surveillance, unlike commercial testing, can process specimens based on the upcoming demand (e.g., with testing restrictions). Hence, proper assessment of accuracy may lead to improvements for a robust infrastructure. Using the H1N1 pandemic experience, we developed a simulation that models the true unobserved influenza incidence trend in the State of Michigan, as well as trends observed at different data collection points of the surveillance system. We calculated the growth rate, or speed at which each trend increases during the pandemic growth phase, and we performed statistical experiments to assess the biases (or differences) between growth rates of unobserved and observed trends. We highlight the following results: 1) emergency-driven high-risk perception increases reporting, which leads to reduction of biases in the growth rates; 2) the best predicted growth rates are those estimated from the trend of specimens submitted to the surveillance point that receives reports from a variety of health care providers; and 3) under several criteria to queue specimens for viral subtyping with limited capacity, the best-performing criterion was to queue first-come, first-serve restricted to specimens with higher hospitalization risk. Under this criterion, the lab released capacity to subtype specimens for each day in the trend, which reduced the growth rate bias the most compared to other queuing criteria. Future research should investigate additional restrictions to the queue.

scholarly journals Exploring the Social Networks’ Use in the Health-Care Industry: A Multi-Level Analysis

2021 ◽  
Vol 18 (14) ◽  
pp. 7295
Author(s):  
Tommasina Pianese ◽  
Patrizia Belfiore
Keyword(s):  
Health Care ◽  
Social Networks ◽  
Health Care Providers ◽  
Health Care Industry ◽  
Future Research ◽  
Great Level ◽  
Care Providers ◽  
Care Industry ◽  
Multi Level ◽  
Video And Audio

The application of social networks in the health domain has become increasingly prevalent. They are web-based technologies which bring together a group of people and health-care providers having in common health-related interests, who share text, image, video and audio contents and interact with each other. This explains the increasing amount of attention paid to this topic by researchers who have investigated a variety of issues dealing with the specific applications in the health-care industry. The aim of this study is to systematize this fragmented body of literature, and provide a comprehensive and multi-level overview of the studies that has been carried out to date on social network uses in healthcare, taking into account the great level of diversity that characterizes this industry. To this end, we conduct a scoping review enabling to identify the major research streams, whose aggregate knowledge are discussed according to three levels of analysis that reflect the viewpoints of the major actors using social networks for health-care purposes, i.e., governments, health-care providers (including health-care organizations and professionals) and social networks’ users (including ill patients and general public). We conclude by proposing directions for future research.

scholarly journals Care-seeking and managing diabetes in rural Bangladesh: a mixed methods study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hannah Maria Jennings ◽  
Joanna Morrison ◽  
Kohenour Akter ◽  
Hassan Haghparast-Bidgoli ◽  
Carina King ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Health Care Providers ◽  
Low Income ◽  
Diabetes Management ◽  
Local Health ◽  
Care Seeking ◽  
Care Providers ◽  
Structured Interviews ◽  
Rural Bangladesh

Abstract Background Type 2 diabetes mellitus poses a major health challenge worldwide and in low-income countries such as Bangladesh, however little is known about the care-seeking of people with diabetes. We sought to understand the factors that affect care-seeking and diabetes management in rural Bangladesh in order to make recommendations as to how care could be better delivered. Methods Survey data from a community-based random sample of 12,047 adults aged 30 years and above identified 292 individuals with a self-reported prior diagnosis of diabetes. Data on health seeking practices regarding testing, medical advice, medication and use of non-allopathic medicine were gathered from these 292 individuals. Qualitative semi-structured interviews and focus group discussions with people with diabetes and semi-structured interviews with health workers explored care-seeking behaviour, management of diabetes and perceptions on quality of care. We explore quality of care using the WHO model with the following domains: safe, effective, patient-centred, timely, equitable and efficient. Results People with diabetes who are aware of their diabetic status do seek care but access, particularly to specialist diabetes services, is hindered by costs, time, crowded conditions and distance. Locally available services, while more accessible, lack infrastructure and expertise. Women are less likely to be diagnosed with diabetes and attend specialist services. Furthermore costs of care and dissatisfaction with health care providers affect medication adherence. Conclusion People with diabetes often make a trade-off between seeking locally available accessible care and specialised care which is more difficult to access. It is vital that health services respond to the needs of patients by building the capacity of local health providers and consider practical ways of supporting diabetes care. Trial registration ISRCTN41083256. Registered on 30/03/2016.

scholarly journals “What Is Right for Me, Is Not Necessarily Right for You”: The Endogenous Factors Influencing Nonparticipation in Medical Assistance in Dying

2021 ◽  
pp. 104973232110088
Author(s):  
Janine Brown ◽  
Donna Goodridge ◽  
Lilian Thorpe ◽  
Alexander Crizzle
Keyword(s):  
Health Care Providers ◽  
Nurse Practitioners ◽  
Emotional Labor ◽  
Emotional Impact ◽  
Care Providers ◽  
Medical Assistance ◽  
Endogenous Factors ◽  
Medical Assistance In Dying ◽  
Professional Experiences ◽  
The Social

Access to medical assistance in dying (MAID) is influenced by legislation, health care providers (HCPs), the number of patient requests, and the patients’ locations. This research explored the factors that influenced HCPs’ nonparticipation in formal MAID processes and their needs to support this emerging practice area. Using an interpretive description methodology, we interviewed 17 physicians and 18 nurse practitioners who identified as non-participators in formal MAID processes. Nonparticipation was influenced by their (a) previous personal and professional experiences, (b) comfort with death, (c) conceptualization of duty, (d) preferred end-of-life care approaches, (e) faith or spirituality beliefs, (f) self-accountability, (g) consideration of emotional labor, and (h) future emotional impact. They identified a need for clear care pathways and safe passage. Two separate yet overlapping concepts were identified, conscientious objection to and nonparticipation in MAID, and we discussed options to support the social contract of care between HCPs and patients.

Commentary on “Diabetes and people with learning disabilities: issues for policy, practice and education”

2020 ◽  
Vol 25 (1) ◽  
pp. 35-39 ◽  
Author(s):  
Brianne Redquest ◽  
Yona Lunsky
Keyword(s):  
Health Care ◽  
Learning Disabilities ◽  
Health Care Providers ◽  
Diabetes Care ◽  
Future Research ◽  
Care Providers ◽  
Family Carers ◽  
Content Type ◽  
Policy Practice

Purpose There has been an increase in research exploring the area of intellectual and developmental disabilities (IDD) and diabetes. Despite being described as instrumental to diabetes care for people with IDD, the role and experiences of family carers, such as parents and siblings, are often neglected in this research. However, it is clear that family carers do not feel that they have sufficient knowledge about diabetes. The purpose of this commentary is to extend the content from “Diabetes and people with learning disabilities: Issues for policy, practice, and education (Maine et al., 2020)” and discuss how family carers can feel better supported when caring for someone with IDD and diabetes. Design/methodology/approach This commentary discusses specific efforts such as STOP diabetes, DESMOND-ID and OK-diabetes for people with IDD including family carers. Encouragement is given for health care providers to recommend such programmes to people with IDD and their family carers. It is also suggested that health care providers involve family carers in diabetes care planning and implementation for people with IDD. Findings It is hoped that if changes are made to current diabetes practices and more research with family carers is conducted, diabetes prevention and management for people with IDD will be more successful and family carers can feel more confident in providing support to their loved ones. Originality/value Research exploring the role of family carers in diabetes care for people with IDD and diabetes is very limited. This commentary makes recommendations to help family carers feel better supported in their role. It also provides areas for future research.

A Scoping Review and Content Analysis of Common Depressive Symptoms of Young People

2021 ◽  
pp. 105984052110126
Author(s):  
Jia-Wen Guo ◽  
Brooks R. Keeshin ◽  
Mike Conway ◽  
Wendy W. Chapman ◽  
Katherine A. Sward
Keyword(s):  
Content Analysis ◽  
Depressive Symptoms ◽  
Young People ◽  
Health Care Providers ◽  
Scoping Review ◽  
School Nurses ◽  
Future Research ◽  
Depression Symptom ◽  
Care Providers ◽  
Five Dimensions

School nurses are the most accessible health care providers for many young people including adolescents and young adults. Early identification of depression results in improved outcomes, but little information is available comprehensively describing depressive symptoms specific to this population. The aim of this study was to develop a taxonomy of depressive symptoms that were manifested and described by young people based on a scoping review and content analysis. Twenty-five journal articles that included narrative descriptions of depressive symptoms in young people were included. A total of 60 depressive symptoms were identified and categorized into five dimensions: behavioral ( n = 8), cognitive ( n = 14), emotional ( n = 15), interpersonal ( n = 13), and somatic ( n = 10). This comprehensive depression symptom taxonomy can help school nurses to identify young people who may experience depression and will support future research to better screen for depression.

Immigrant Communities and COVID-19: Strengthening the Public Health Response

2021 ◽  
Vol 111 (S3) ◽  
pp. S224-S231
Author(s):  
Lan N. Đoàn ◽  
Stella K. Chong ◽  
Supriya Misra ◽  
Simona C. Kwon ◽  
Stella S. Yi
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Care Providers ◽  
Low Income ◽  
Immigrant Communities ◽  
Care Providers ◽  
Public Health Response ◽  
The Public ◽  
Public Health Infrastructure ◽  
Health Infrastructure

The COVID-19 pandemic has exposed the many broken fragments of US health care and social service systems, reinforcing extant health and socioeconomic inequities faced by structurally marginalized immigrant communities. Throughout the pandemic, even during the most critical period of rising cases in different epicenters, immigrants continued to work in high-risk-exposure environments while simultaneously having less access to health care and economic relief and facing discrimination. We describe systemic factors that have adversely affected low-income immigrants, including limiting their work opportunities to essential jobs, living in substandard housing conditions that do not allow for social distancing or space to safely isolate from others in the household, and policies that discourage access to public resources that are available to them or that make resources completely inaccessible. We demonstrate that the current public health infrastructure has not improved health care access or linkages to necessary services, treatments, or culturally competent health care providers, and we provide suggestions for how the Public Health 3.0 framework could advance this. We recommend the following strategies to improve the Public Health 3.0 public health infrastructure and mitigate widening disparities: (1) address the social determinants of health, (2) broaden engagement with stakeholders across multiple sectors, and (3) develop appropriate tools and technologies. (Am J Public Health. 2021;111(S3):S224–S231. https://doi.org/10.2105/AJPH.2021.306433 )

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