Making Cross-Country Comparisons on Health Systems and Health Outcomes - What are the Criteria for Study Designs?

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Making Cross-Country Comparisons on Health Systems and Health Outcomes - What are the Criteria for Study Designs? Cheryl Zlotnick RN DrPH, University of Haifa, Israel Sue Anderson PhD RN FNP-BC, Indiana University-South Bend, USA Vanessa Heaslip PhD RN DN, Bournemouth University, UK

Disclosure Slide Authors: Cheryl Zlotnick RN DrPH, Sue Anderson PhD RN FNP-BC and Vanessa Heaslip PhD RN DN Learning Objectives: 1. Describe at least three challenges that researchers must consider when choosing a study design for cross-country comparisons. 2. List at least three advantages and three disadvantages to using quantitative and mixed methods data for cross-country health care and status comparisons. 3. Formulate suggestions on methods to include cultural differences when conducting cross-country comparisons on health status or health care within the health system context. Conflict of Interest: Profs Zlotnick, Anderson and Heaslip claim no conflict of interest.

Globalization Heterogeneity of populations Background Why is it important to nurses and nursing practice to make cross-country comparisons on health systems and health outcomes? Evidence-based practice guidelines Nursing comprises the largest healthcare labor force in the world

Study Goal and Approaches Goal To examine study design frameworks used to make crosscountry comparisons of quantitative or mixed-methods studies assessing health care services and outcomes. Approaches Systematic Review Scoping Review

Two Kinds of Reviews Considered Approach Goal and Methods Systematic Well-defined question with a known and specific methodology Synthesize known information to identify an answer to a question while assessing the evidence of each study Type of Review Scoping Broad topics with multiple methodologies 1. Examine extent, range or nature of knowledge 2. Map literature to determine whether systematic review is feasible 3. Assess range of research or gaps Arksey H & O Malley L (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 1364-5579, http://eprintes.whiterose.ac.uk/1618/

Steps of Conducting a Scoping Review 1. Identification of the domains that must be explored; 2. Search and selection of relevant studies; 3. Charting of studies findings; and 4. Summarization of the results. Arksey H & O Malley L (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 1364-5579, http://eprintes.whiterose.ac.uk/1618/

Methods Steps #1 & #2 1. Identification of the domains that must be explored; 2. Search and selection of relevant studies Selection Criteria from CINAHL, PUBMED and PsycInfo 1. Keywords Cross country comparison AND Health System AND (Health services OR Health outcomes) 2. Language - English 3. Years - 01/01/2010-12/31/2016 4. Journal Article N=169 Remove Duplicate Articles N=13 N=11 Exclusion by Abstract All Economic Data (n=12); Only Qualitative Data (n=16); A Priori Collaboration or Shared Dataset (n=53); Only One Country (n=18); Policy Review, Systematic Review, Synthesis (n=46) N=156

Methods - Steps #3 & #4 3. Charting findings of the studies (n=11). The goal is to identify: (a) trends (b) gaps (c) consistencies with other research (d) unusual/surprising issues and 4. Summarize the results Arksey H & O Malley L (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 1364-5579, http://eprintes.whiterose.ac.uk/1618/

Findings - Trends Mapping the results ~100% of countries were high income countries Country selection - 50% did not specify rationale for country selection Country comparisons 70% provided virtually not cultural context EU Belgium Denmark (n=3) Canada (n=4) USA (n=7) Australia (n=2) New Zealand Finland (n=2) France Ireland Norway Netherlands (n=2) Portugal Slovenia Spain Sweden (n=2) UK (n=7)

Findings - Gaps 3. Theory-driven None of the studies (n=11) were theory-driven Theory Hypothesis Observation Confirmation

Findings - Consistencies & Inconsistencies Several studies focused on: policy or health system differences differences in morbidity and mortality using a variety of existing measures that were typically used in the country. Inconsistencies in cross-country comparisons were due to differences in data collection and the use of inconsistent measures and categorizations.

Findings Unusual/Surprising Issues Amazingly few quantitative or mixed methods studies (n=11) without a priori country-coordination were found in the peerreviewed literature. Given the topic of cross-country studies, it was surprising that cultural context was often ignored Despite the common use of socioeconomic and other indicators of inequity, only one study used measures such as the GINI index

Summarization of Results 1. Study design frameworks for cross-country comparisons did not follow basic recommendations made by Cacace et al. (2013), to include: explicit country selection criteria, guiding theory, data type (i.e., quantitative, mixed-methods), ascertainment and validation of measurements, synthesis of findings, and contribution. 2. Focus was virtually only on high-income countries. 3. Country s culture and population composition (i.e., majority and minority groups) rarely were taken into account. 4. Surprisingly few cross-country studies without a priori coordination were published. 5. Awkward comparison of non-similar measures and methodologies. Cacace, M., Ettelt, S., Mays, N., & Nolte, E. (2013). Assessing quality in cross-country comparisons of health systems and policies: towards a set of generic quality criteria. Health Policy, 112, 156-162.

Discussion Especially in an internationally recognized and respected discipline such as nursing, there is a need for more cross-country collaborations and comparisons. Clear guidelines are needed. Below was modelled after STROBE (von Elm et al., 2008): Area Title and Abstract Background Recommendation Indicate cross country comparison 1. Indicate rationale for country selection 2. Describe cultural specific context that will need to be taken into account 3. Introduce theory or model that will guide the comparison. Reason Cross country is in the MESH and CINAHL thesaurus. 1. In research, internal validity dictates providing explicit description of all study elements, including: selection of variables, samples, instruments, etc. 2. As cultural is linked to health variables, these elements must be identified. 3. Quantitative and mixed-methods studies are deductive, and therefore, theory- or modeldriven. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. (2008) The strengthening the reporting of observational studies in epidemiology (STROBE)statement: guidelines for reporting observational studies. J Clinical Epidemiology, 61(4):344-9.

Discussion Continued guidelines - modelled after STROBE (von Elm et al., 2008) : Area Methods - measures Methods - sample Methods Data sources Results Recommendation Delineate procedure to make measures comparable. Describe population, sampling frame, sampling technique and sample. Describe all data sources and default values for all variables reported in the study. Describe samples from both countries including demographic differences (and specifying ethnic-racial or at-risk groups) in a table format. Reason Countries used different measures; study results may be biased if efforts are not made to make these measures comparable. Different countries have different ethnicracial compositions and at-risk population groups. These differences can introduce bias if not taken into account. Default values may differ by data source and introduce bias. Countries have different population groups, and only by specifying them a priori can inequities be revealed. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. (2008) The strengthening the reporting of observational studies in epidemiology (STROBE)statement: guidelines for reporting observational studies. J Clinical Epidemiology, 61(4):344-9.

Discussion Continued guidelines - modelled after STROBE (von Elm et al., 2008) : Area Discussion Limitation Recommendation Summarize key results with respect to hypotheses and cross country comparison. Specify aspects of comparisons where country or cultural differences were inexact. Note limitations in sampling, representation of the target population. Reason Contribution to cross country science. Provides future authors information on ways to make improvements to research. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. (2008) The strengthening the reporting of observational studies in epidemiology (STROBE)statement: guidelines for reporting observational studies. J Clinical Epidemiology, 61(4):344-9.

A Question to health professionals participating at an international research congress? What cross-country collaboration would you recommend (or agree to join) to promote: inclusive, culturally-appropriate nursing care, healthy lifestyles, dissemination of health information, and people-centered, health policy change?

благодаря श क र य děkuji Thanks! 謝謝 Cheryl Zlotnick RN DrPH Associate Professor University of Haifa Mt Carmel, Haifa, Israel czlotnick@univ.haifa.ac.il 감사합니다