| Literature DB >> 35192126 |
Priyanka Fernandes1, Karina Wang2, Jason Timmerman2, Angela Reyes2, Faye Holmes2, Omonike A Olaleye3, Hamisu M Salihu4, Victoria A Moerchen5, Harolyn M E Belcher6, Nikeea Copeland-Linder7, Charlotte A Noble8, Cheryl A Vamos8, Anna Armstrong8, Catrina R Waters9, Deneen Long-White10, Claudia Brown11, Madhavi M Reddy11, Alice Kuo2.
Abstract
INTRODUCTION: The Maternal and Child Health (MCH) Pipeline Training Program, promotes development of a diverse health workforce by training undergraduate students from underrepresented minorities. We aimed to evaluate the success of this program based on three domains: (1) demographic characteristics, (2) academic and career development, and (3) attitudes towards the field of MCH and the training programs among graduates.Entities:
Keywords: Evaluation; Maternal and child health; Maternal and child health bureau; Pipeline training programs; Success; Undergraduate students
Mesh:
Year: 2022 PMID: 35192126 PMCID: PMC9174308 DOI: 10.1007/s10995-021-03370-6
Source DB: PubMed Journal: Matern Child Health J ISSN: 1092-7875
Response rate
| Number of years funded | Number of graduates | Number of responses | Response rate (%) | |
|---|---|---|---|---|
| Alabama State University | 14 | 181 | 38 | 21 |
| Baylor College of Medicine/Texas Southern University | 4 | 40 | 8 | 20 |
| Howard University | 10 | 80 | 26 | 33 |
| Kennedy Krieger Institute | 4 | 12 | 6 | 50 |
| University of California, Los Angeles | 14 | 121 | 37 | 31 |
| University of South Florida | 4 | 11 | 7 | 64 |
| University of Wisconsin-Milwaukee | 14 | 105 | 29 | 27 |
| Total | 550 | 162 | 37 |
Fig. 1top. Responses to maternal and child health (MCH) as a field of study
Fig. 2top. Responses to maternal and child health (MCH) pipeline programs and faculty
Demographic information
| Total (n = 162) | ||
|---|---|---|
| Mean | SD | |
| Age in years | 29 | 4 |
| Frequency | % | |
| Gender identity | ||
| Female | 127 | 78 |
| Male | 27 | 17 |
| Transgender female | 0 | 0 |
| Transgender male | 0 | 0 |
| Gender non-conforming | 1 | 1 |
| Race | ||
| American Indian/Alaskan Native | 1 | 1 |
| Asian | 21 | 13 |
| Black/African American | 87 | 54 |
| Native Hawaiian/Pacific Islander | 0 | 0 |
| Caucasian | 26 | 16 |
| Multiple | 6 | 4 |
| Ethnicity | ||
| Hispanic/Latinx | 36 | 22 |
| First in family to attend college | 72 | 44 |
| First-/Second-generation US citizen or permanent resident | 80 | 49 |
| Highest level of education in either parent | ||
| Never went to school | 1 | 1 |
| Some school | 35 | 22 |
| High school diploma | 18 | 11 |
| Some college | 23 | 14 |
| College diploma | 32 | 20 |
| Graduate degree or higher | 31 | 19 |
| Household language other than English | 67 | 41 |
| Disadvantaged in the following ways (multiple choice) | ||
| Was in foster care | 1 | 1 |
| Received free/reduced lunch at school | 72 | 44 |
| Received temporary assistance for needy families/other financial assistance benefits | 18 | 11 |
| Used food stamps regularly | 31 | 19 |
| Not disadvantaged | 74 | 46 |
| Other | 10 | 6 |
| Received following financial aid in college (multiple choice) | ||
| Pell grant/state equivalent | 103 | 64 |
| Stafford loan/federal or state loan program | 95 | 59 |
| Work study | 62 | 38 |
| Private loan | 31 | 19 |
| Private scholarship or grant | 76 | 47 |
| No financial aid assistance | 13 | 8 |
| Disabilities (multiple choice) | 18 | 11 |
| Attention Deficit Hyperactivity Disorder | 5 | 3 |
| Autism | 0 | 0 |
| Learning disability | 2 | 1 |
| Deafness/Hearing impairment | 1 | 1 |
| Blindness/Visual impairment | 1 | 1 |
| Physical disability | 2 | 1 |
| Mental/Emotional disability | 6 | 4 |
| No disability | 134 | 83 |
Academic and career experiences
| Total (n = 162) | ||
|---|---|---|
| Frequency | % | |
| Applied to graduate/professional school | 130 | 80 |
| Fields applied to (multiple choice) | ||
| Public health | 34 | 21 |
| Medicine | 23 | 14 |
| Nursing | 13 | 8 |
| Social work | 12 | 7 |
| Education | 6 | 4 |
| Psychology | 6 | 4 |
| Physical therapy | 8 | 5 |
| Nutrition | 4 | 2 |
| Othera | 44 | 27 |
| Admitted to graduate or professional school | 108 | 67 |
| Completed graduate or professional school | 63 | 39 |
| Reason for non-completion of graduate/professional school (multiple choice) | ||
| Could not afford | 3 | 2 |
| Could not handle academic work | 1 | 1 |
| Change in careers | 1 | 1 |
| Personal/family reasons | 6 | 4 |
| Currently in school | 53 | 33 |
| The Maternal and Child Health (MCH) Pipeline Training Program helped in application to graduate/professional school | 78 | 48 |
| Missing responses | 82 | 51 |
| The MCH Pipeline Program helped in being successful in graduate/professional school | 77 | 48 |
| Missing responses | 83 | 51 |
| Current work status | ||
| Employed | 100 | 62 |
| Unemployed, full-time student | 32 | 20 |
| Unemployed, between jobs | 2 | 1 |
| Unemployed, other | 6 | 4 |
| Missing responses | 22 | 14 |
| Currently working with maternal and child health populations | 114 | 70 |
| Maternal and child health populations you currently work with (multiple choice) | ||
| Pregnant women and mothers | 31 | 19 |
| Infants (< 1 year) | 36 | 22 |
| Toddlers and preschoolers (1–4 years) | 34 | 21 |
| School-age (5–12 years) | 58 | 36 |
| Adolescents and young adults (13–25 years) | 55 | 34 |
| Vulnerable populations you currently work with (multiple choice) | ||
| Disability | 63 | 39 |
| Disadvantaged youth (foster youth, homeless) | 64 | 40 |
| Elderly | 51 | 31 |
| Low income | 103 | 64 |
| Medically vulnerable | 64 | 40 |
| Minority | 105 | 65 |
aIncludes Occupational therapy, Law, Dentistry, Speech and language pathology, and Audiology