The Theory, Methods, and Value of Integrating Data to Advance Social Policies and Human Services
The Theory, Methods, and Value of Integrating Data to Advance Social Policies and Human Services
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151325
- ISBN
- 9798382830568
- DDC
- 361
- 저자명
- Zanti, Sharon.
- 서명/저자
- The Theory, Methods, and Value of Integrating Data to Advance Social Policies and Human Services
- 발행사항
- [Sl] : University of Pennsylvania, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 148 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
- 주기사항
- Advisor: Culhane, Dennis P.
- 학위논문주기
- Thesis (Ph.D.)--University of Pennsylvania, 2024.
- 초록/해제
- 요약While human service clients often interface with numerous systems, the administrative data depicting their system interactions are often held in institutional silos, thus limiting the ability of analyses to generate nuanced insights about the whole person. However, when shared and integrated across agencies, administrative data can be used to address complex social policy issues and ultimately improve lives. This three-paper dissertation illuminates the underlying theories and methods for building integrated data capacity in human service agencies while also demonstrating the value of bringing together cross-agency administrative data for a particular social policy issue-youth mental health service quality.The first paper examines current theories around administrative data integration. Then, theory synthesis methods are used to apply critical theory and social constructionism and build an updated theoretical framework for the field. The second paper draws on these theoretical tenets while using integrated datasets from the State of Rhode Island to analyze factors associated with quality mental health service receipt for children and youth. Logistic regression results show that transition age youth and youth who recently experienced a pregnancy, juvenile justice involvement, parental substance use, or job loss in the household may be less likely to receive minimally adequate follow-up care after a mental illness hospitalization. Youth who may be more likely to receive follow-up care include those with longer hospital stays; parents with prior mental health claims; or primary diagnoses of depression, bipolar, or other mood disorder; anxiety, OCD, or fear disorder; or a schizophrenia or psychotic disorder. In addition, the second paper quantitatively analyzes the value of integrating data and shows that the model containing variables from four source systems may be most beneficial to analyzing receipt of quality care. While these quantitative analyses were conducted, observational fieldnotes were also collected to illuminate the process and lessons learned from engaging with partners in Rhode Island. These data were analyzed and reported on through a qualitative case study in the third paper, ultimately showing a realistic timeline and process for aligning research, policy, and practice partners around the use of integrated data as well as five key lessons learned for partnership-engaged research.
- 일반주제명
- Social work
- 일반주제명
- Mental health
- 일반주제명
- Public policy
- 키워드
- Data governance
- 키워드
- Equity
- 키워드
- Social policy
- 기타저자
- University of Pennsylvania Social Welfare
- 기본자료저록
- Dissertations Abstracts International. 85-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■007cr#unu||||||||
■020 ▼a9798382830568
■035 ▼a(MiAaPQ)AAI31240032
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a361
■1001 ▼aZanti, Sharon.
■24510▼aThe Theory, Methods, and Value of Integrating Data to Advance Social Policies and Human Services
■260 ▼a[Sl]▼bUniversity of Pennsylvania▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a148 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-12, Section: B.
■500 ▼aAdvisor: Culhane, Dennis P.
■5021 ▼aThesis (Ph.D.)--University of Pennsylvania, 2024.
■520 ▼aWhile human service clients often interface with numerous systems, the administrative data depicting their system interactions are often held in institutional silos, thus limiting the ability of analyses to generate nuanced insights about the whole person. However, when shared and integrated across agencies, administrative data can be used to address complex social policy issues and ultimately improve lives. This three-paper dissertation illuminates the underlying theories and methods for building integrated data capacity in human service agencies while also demonstrating the value of bringing together cross-agency administrative data for a particular social policy issue-youth mental health service quality.The first paper examines current theories around administrative data integration. Then, theory synthesis methods are used to apply critical theory and social constructionism and build an updated theoretical framework for the field. The second paper draws on these theoretical tenets while using integrated datasets from the State of Rhode Island to analyze factors associated with quality mental health service receipt for children and youth. Logistic regression results show that transition age youth and youth who recently experienced a pregnancy, juvenile justice involvement, parental substance use, or job loss in the household may be less likely to receive minimally adequate follow-up care after a mental illness hospitalization. Youth who may be more likely to receive follow-up care include those with longer hospital stays; parents with prior mental health claims; or primary diagnoses of depression, bipolar, or other mood disorder; anxiety, OCD, or fear disorder; or a schizophrenia or psychotic disorder. In addition, the second paper quantitatively analyzes the value of integrating data and shows that the model containing variables from four source systems may be most beneficial to analyzing receipt of quality care. While these quantitative analyses were conducted, observational fieldnotes were also collected to illuminate the process and lessons learned from engaging with partners in Rhode Island. These data were analyzed and reported on through a qualitative case study in the third paper, ultimately showing a realistic timeline and process for aligning research, policy, and practice partners around the use of integrated data as well as five key lessons learned for partnership-engaged research.
■590 ▼aSchool code: 0175.
■650 4▼aSocial work
■650 4▼aMental health
■650 4▼aPublic policy
■653 ▼aAdministrative data
■653 ▼aData governance
■653 ▼aEquity
■653 ▼aIntegrated data systems
■653 ▼aSocial policy
■653 ▼aYouth mental health
■690 ▼a0452
■690 ▼a0630
■690 ▼a0347
■71020▼aUniversity of Pennsylvania▼bSocial Welfare.
■7730 ▼tDissertations Abstracts International▼g85-12B.
■790 ▼a0175
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161215▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
