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Pantoja T, Opiyo N, Lewin S, Paulsen E, Ciapponi A, Wiysonge CS, Herrera CA, Rada G, Peñaloza B, Dudley L, Gagnon M, Garcia Marti S, Oxman AD. Implementation strategies for health systems in low-income countries: an overview of systematic reviews. Cochrane Database Syst Rev 2017; 9:CD011086. [PMID: 28895659 PMCID: PMC5621088 DOI: 10.1002/14651858.cd011086.pub2] [Citation(s) in RCA: 98] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND A key function of health systems is implementing interventions to improve health, but coverage of essential health interventions remains low in low-income countries. Implementing interventions can be challenging, particularly if it entails complex changes in clinical routines; in collaborative patterns among different healthcare providers and disciplines; in the behaviour of providers, patients or other stakeholders; or in the organisation of care. Decision-makers may use a range of strategies to implement health interventions, and these choices should be based on evidence of the strategies' effectiveness. OBJECTIVES To provide an overview of the available evidence from up-to-date systematic reviews about the effects of implementation strategies for health systems in low-income countries. Secondary objectives include identifying needs and priorities for future evaluations and systematic reviews on alternative implementation strategies and informing refinements of the framework for implementation strategies presented in the overview. METHODS We searched Health Systems Evidence in November 2010 and PDQ-Evidence up to December 2016 for systematic reviews. We did not apply any date, language or publication status limitations in the searches. We included well-conducted systematic reviews of studies that assessed the effects of implementation strategies on professional practice and patient outcomes and that were published after April 2005. We excluded reviews with limitations important enough to compromise the reliability of the review findings. Two overview authors independently screened reviews, extracted data and assessed the certainty of evidence using GRADE. We prepared SUPPORT Summaries for eligible reviews, including key messages, 'Summary of findings' tables (using GRADE to assess the certainty of the evidence) and assessments of the relevance of findings to low-income countries. MAIN RESULTS We identified 7272 systematic reviews and included 39 of them in this overview. An additional four reviews provided supplementary information. Of the 39 reviews, 32 had only minor limitations and 7 had important methodological limitations. Most studies in the reviews were from high-income countries. There were no studies from low-income countries in eight reviews.Implementation strategies addressed in the reviews were grouped into four categories - strategies targeting:1. healthcare organisations (e.g. strategies to change organisational culture; 1 review);2. healthcare workers by type of intervention (e.g. printed educational materials; 14 reviews);3. healthcare workers to address a specific problem (e.g. unnecessary antibiotic prescription; 9 reviews);4. healthcare recipients (e.g. medication adherence; 15 reviews).Overall, we found the following interventions to have desirable effects on at least one outcome with moderate- or high-certainty evidence and no moderate- or high-certainty evidence of undesirable effects.1.Strategies targeted at healthcare workers: educational meetings, nutrition training of health workers, educational outreach, practice facilitation, local opinion leaders, audit and feedback, and tailored interventions.2.Strategies targeted at healthcare workers for specific types of problems: training healthcare workers to be more patient-centred in clinical consultations, use of birth kits, strategies such as clinician education and patient education to reduce antibiotic prescribing in ambulatory care settings, and in-service neonatal emergency care training.3. Strategies targeted at healthcare recipients: mass media interventions to increase uptake of HIV testing; intensive self-management and adherence, intensive disease management programmes to improve health literacy; behavioural interventions and mobile phone text messages for adherence to antiretroviral therapy; a one time incentive to start or continue tuberculosis prophylaxis; default reminders for patients being treated for active tuberculosis; use of sectioned polythene bags for adherence to malaria medication; community-based health education, and reminders and recall strategies to increase vaccination uptake; interventions to increase uptake of cervical screening (invitations, education, counselling, access to health promotion nurse and intensive recruitment); health insurance information and application support. AUTHORS' CONCLUSIONS Reliable systematic reviews have evaluated a wide range of strategies for implementing evidence-based interventions in low-income countries. Most of the available evidence is focused on strategies targeted at healthcare workers and healthcare recipients and relates to process-based outcomes. Evidence of the effects of strategies targeting healthcare organisations is scarce.
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Affiliation(s)
- Tomas Pantoja
- Pontificia Universidad Católica de ChileDepartment of Family Medicine, Faculty of MedicineCentro Medico San Joaquin, Vicuña Mackenna 4686MaculSantiagoChile
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
| | - Newton Opiyo
- CochraneCochrane Editorial UnitSt Albans House, 57‐59 HaymarketLondonUKSW1Y 4QX
| | - Simon Lewin
- Norwegian Institute of Public HealthPO Box 4404OsloNorway0403
- South African Medical Research CouncilHealth Systems Research UnitPO Box 19070TygerbergSouth Africa7505
| | | | - Agustín Ciapponi
- Institute for Clinical Effectiveness and Health Policy (IECS‐CONICET)Argentine Cochrane CentreDr. Emilio Ravignani 2024Buenos AiresCapital FederalArgentinaC1414CPV
| | - Charles S Wiysonge
- South African Medical Research CouncilCochrane South AfricaFrancie van Zijl Drive, Parow ValleyCape TownWestern CapeSouth Africa7505
- Stellenbosch UniversityCentre for Evidence‐based Health Care, Faculty of Medicine and Health SciencesCape TownSouth Africa
| | - Cristian A Herrera
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
- Pontificia Universidad Católica de ChileDepartment of Public Health, School of MedicineMarcoleta 434SantiagoChile
| | - Gabriel Rada
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
- Pontificia Universidad Católica de ChileDepartment of Internal Medicine and Evidence‐Based Healthcare Program, Faculty of MedicineLira 44, Decanato Primer pisoSantiagoChile
| | - Blanca Peñaloza
- Pontificia Universidad Católica de ChileDepartment of Family Medicine, Faculty of MedicineCentro Medico San Joaquin, Vicuña Mackenna 4686MaculSantiagoChile
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
| | - Lilian Dudley
- Stellenbosch UniversityDivision of Community Health, Faculty of Medicine and Health SciencesFransie Van Zyl DriveTygerbergCape TownSouth Africa7505
| | - Marie‐Pierre Gagnon
- CHU de Québec ‐ Université Laval Research CentrePopulation Health and Optimal Health Practices Research Unit10 Rue de l'Espinay, D6‐727Québec CityQCCanadaG1L 3L5
| | - Sebastian Garcia Marti
- Institute for Clinical Effectiveness and Health PolicyBuenos AiresCapital FederalArgentinaC1056ABH
| | - Andrew D Oxman
- Norwegian Institute of Public HealthPO Box 4404OsloNorway0403
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Wiysonge CS, Paulsen E, Lewin S, Ciapponi A, Herrera CA, Opiyo N, Pantoja T, Rada G, Oxman AD. Financial arrangements for health systems in low-income countries: an overview of systematic reviews. Cochrane Database Syst Rev 2017; 9:CD011084. [PMID: 28891235 PMCID: PMC5618470 DOI: 10.1002/14651858.cd011084.pub2] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND One target of the Sustainable Development Goals is to achieve "universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for all". A fundamental concern of governments in striving for this goal is how to finance such a health system. This concern is very relevant for low-income countries. OBJECTIVES To provide an overview of the evidence from up-to-date systematic reviews about the effects of financial arrangements for health systems in low-income countries. Secondary objectives include identifying needs and priorities for future evaluations and systematic reviews on financial arrangements, and informing refinements in the framework for financial arrangements presented in the overview. METHODS We searched Health Systems Evidence in November 2010 and PDQ-Evidence up to 17 December 2016 for systematic reviews. We did not apply any date, language, or publication status limitations in the searches. We included well-conducted systematic reviews of studies that assessed the effects of financial arrangements on patient outcomes (health and health behaviours), the quality or utilisation of healthcare services, resource use, healthcare provider outcomes (such as sick leave), or social outcomes (such as poverty, employment, or financial burden of patients, e.g. out-of-pocket payment, catastrophic disease expenditure) and that were published after April 2005. We excluded reviews with limitations important enough to compromise the reliability of the findings. Two overview authors independently screened reviews, extracted data, and assessed the certainty of evidence using GRADE. We prepared SUPPORT Summaries for eligible reviews, including key messages, 'Summary of findings' tables (using GRADE to assess the certainty of the evidence), and assessments of the relevance of findings to low-income countries. MAIN RESULTS We identified 7272 reviews and included 15 in this overview, on: collection of funds (2 reviews), insurance schemes (1 review), purchasing of services (1 review), recipient incentives (6 reviews), and provider incentives (5 reviews). The reviews were published between 2008 and 2015; focused on 13 subcategories; and reported results from 276 studies: 115 (42%) randomised trials, 11 (4%) non-randomised trials, 23 (8%) controlled before-after studies, 51 (19%) interrupted time series, 9 (3%) repeated measures, and 67 (24%) other non-randomised studies. Forty-three per cent (119/276) of the studies included in the reviews took place in low- and middle-income countries. Collection of funds: the effects of changes in user fees on utilisation and equity are uncertain (very low-certainty evidence). It is also uncertain whether aid delivered under the Paris Principles (ownership, alignment, harmonisation, managing for results, and mutual accountability) improves health outcomes compared to aid delivered without conforming to those principles (very low-certainty evidence). Insurance schemes: community-based health insurance may increase service utilisation (low-certainty evidence), but the effects on health outcomes are uncertain (very low-certainty evidence). It is uncertain whether social health insurance improves utilisation of health services or health outcomes (very low-certainty evidence). Purchasing of services: it is uncertain whether increasing salaries of public sector healthcare workers improves the quantity or quality of their work (very low-certainty evidence). Recipient incentives: recipient incentives may improve adherence to long-term treatments (low-certainty evidence), but it is uncertain whether they improve patient outcomes. One-time recipient incentives probably improve patient return for start or continuation of treatment (moderate-certainty evidence) and may improve return for tuberculosis test readings (low-certainty evidence). However, incentives may not improve completion of tuberculosis prophylaxis, and it is uncertain whether they improve completion of treatment for active tuberculosis. Conditional cash transfer programmes probably lead to an increase in service utilisation (moderate-certainty evidence), but their effects on health outcomes are uncertain. Vouchers may improve health service utilisation (low-certainty evidence), but the effects on health outcomes are uncertain (very low-certainty evidence). Introducing a restrictive cap may decrease use of medicines for symptomatic conditions and overall use of medicines, may decrease insurers' expenditures on medicines (low-certainty evidence), and has uncertain effects on emergency department use, hospitalisations, and use of outpatient care (very low-certainty evidence). Reference pricing, maximum pricing, and index pricing for drugs have mixed effects on drug expenditures by patients and insurers as well as the use of brand and generic drugs. Provider incentives: the effects of provider incentives are uncertain (very low-certainty evidence), including: the effects of provider incentives on the quality of care provided by primary care physicians or outpatient referrals from primary to secondary care, incentives for recruiting and retaining health professionals to serve in remote areas, and the effects of pay-for-performance on provider performance, the utilisation of services, patient outcomes, or resource use in low-income countries. AUTHORS' CONCLUSIONS Research based on sound systematic review methods has evaluated numerous financial arrangements relevant to low-income countries, targeting different levels of the health systems and assessing diverse outcomes. However, included reviews rarely reported social outcomes, resource use, equity impacts, or undesirable effects. We also identified gaps in primary research because of uncertainty about applicability of the evidence to low-income countries. Financial arrangements for which the effects are uncertain include external funding (aid), caps and co-payments, pay-for-performance, and provider incentives. Further studies evaluating the effects of these arrangements are needed in low-income countries. Systematic reviews should include all outcomes that are relevant to decision-makers and to people affected by changes in financial arrangements.
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Affiliation(s)
- Charles S Wiysonge
- South African Medical Research CouncilCochrane South AfricaFrancie van Zijl Drive, Parow ValleyCape TownWestern CapeSouth Africa7505
- Stellenbosch UniversityCentre for Evidence‐based Health Care, Faculty of Medicine and Health SciencesCape TownSouth Africa
| | - Elizabeth Paulsen
- Norwegian Institute of Public HealthP.O. Box 4404NydalenOsloNorwayN‐0403
| | - Simon Lewin
- Norwegian Institute of Public HealthP.O. Box 4404NydalenOsloNorwayN‐0403
- South African Medical Research CouncilHealth Systems Research UnitPO Box 19070TygerbergSouth Africa7505
| | - Agustín Ciapponi
- Institute for Clinical Effectiveness and Health Policy (IECS‐CONICET)Argentine Cochrane CentreDr. Emilio Ravignani 2024Buenos AiresCapital FederalArgentinaC1414CPV
| | - Cristian A Herrera
- Pontificia Universidad Católica de ChileDepartment of Public Health, School of MedicineMarcoleta 434SantiagoChile
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
| | - Newton Opiyo
- CochraneCochrane Editorial UnitSt Albans House, 57‐59 HaymarketLondonUKSW1Y 4QX
| | - Tomas Pantoja
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
- Pontificia Universidad Católica de ChileDepartment of Family Medicine, Faculty of MedicineCentro Medico San Joaquin, Vicuña Mackenna 4686MaculSantiagoChile
| | - Gabriel Rada
- Pontificia Universidad Católica de ChileEvidence Based Health Care ProgramSantiagoChile
- Pontificia Universidad Católica de ChileDepartment of Internal Medicine and Evidence‐Based Healthcare Program, Faculty of MedicineLira 44, Decanato Primer pisoSantiagoChile
| | - Andrew D Oxman
- Norwegian Institute of Public HealthP.O. Box 4404NydalenOsloNorwayN‐0403
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Flores G, Lin H, Walker C, Lee M, Currie JM, Allgeyer R, Fierro M, Henry M, Portillo A, Massey K. Parent Mentors and Insuring Uninsured Children: A Randomized Controlled Trial. Pediatrics 2016; 137:peds.2015-3519. [PMID: 27244706 PMCID: PMC4811315 DOI: 10.1542/peds.2015-3519] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/05/2016] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Six million US children are uninsured, despite two-thirds being eligible for Medicaid/Children's Health Insurance Program (CHIP), and minority children are at especially high risk. The most effective way to insure uninsured children, however, is unclear. METHODS We conducted a randomized trial of the effects of parent mentors (PMs) on insuring uninsured minority children. PMs were experienced parents with ≥1 Medicaid/CHIP-covered child who received 2 days of training, then assisted families for 1 year with insurance applications, retaining coverage, medical homes, and social needs; controls received traditional Medicaid/CHIP outreach. The primary outcome was obtaining insurance 1 year post-enrollment. RESULTS We enrolled 237 participants (114 controls; 123 in PM group). PMs were more effective (P< .05 for all comparisons) than traditional methods in insuring children (95% vs 68%), and achieving faster coverage (median = 62 vs 140 days), high parental satisfaction (84% vs 62%), and coverage renewal (85% vs 60%). PM children were less likely to have no primary care provider (15% vs 39%), problems getting specialty care (11% vs 46%), unmet preventive (4% vs 22%) or dental (18% vs 31%) care needs, dissatisfaction with doctors (6% vs 16%), and needed additional income for medical expenses (6% vs 13%). Two years post-PM cessation, more PM children were insured (100% vs 76%). PMs cost $53.05 per child per month, but saved $6045.22 per child insured per year. CONCLUSIONS PMs are more effective than traditional Medicaid/CHIP methods in insuring uninsured minority children, improving health care access, and achieving parental satisfaction, but are inexpensive and highly cost-effective.
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Affiliation(s)
- Glenn Flores
- Medica Research Institute, Minnetonka, Minnesota;
| | - Hua Lin
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Candy Walker
- Texas Scottish Rite Hospital for Children, Dallas, Texas
| | - Michael Lee
- University of Texas Southwestern Medical Center, Dallas, Texas;,Children’s Health System of Texas, Dallas, Texas
| | - Janet M. Currie
- Center for Health and Well-Being, Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, New Jersey; and
| | - Rick Allgeyer
- Center for Strategic Decision Support, Texas Health and Human Services Commission, Austin, Texas
| | - Marco Fierro
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Monica Henry
- University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - Kenneth Massey
- University of Texas Southwestern Medical Center, Dallas, Texas
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DeVoe JE, Huguet N, Likumahuwa-Ackman S, Angier H, Nelson C, Marino M, Cohen D, Sumic A, Hoopes M, Harding RL, Dearing M, Gold R. Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial. Implement Sci 2015; 10:123. [PMID: 26652866 PMCID: PMC4676134 DOI: 10.1186/s13012-015-0311-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 08/11/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Patients with gaps in health insurance coverage often defer or forgo cancer prevention services. These delays in cancer detection and diagnoses lead to higher rates of morbidity and mortality and increased costs. Recent advances in health information technology (HIT) create new opportunities to enhance insurance support services that reduce coverage gaps through automated processes applied in healthcare settings. This study will assess the implementation of insurance support HIT tools and their effectiveness at improving patients' insurance coverage continuity and cancer screening rates. METHODS/DESIGN This study uses a hybrid cluster-randomized design-a combined effectiveness and implementation trial-in community health centers (CHCs) in the USA. Eligible CHC clinic sites will be randomly assigned to one of two groups in the trial's implementation component: tools + basic training (Arm I) and tools + enhanced training + facilitation (Arm II). A propensity score-matched control group of clinics will be selected to assess the tools' effectiveness. Quantitative analyses of the tools' impact will use electronic health record and Medicaid data to assess effectiveness. Qualitative data will be collected to evaluate the implementation process, understand how the HIT tools are being used, and identify facilitators and barriers to their implementation and use. DISCUSSION This study will test the effectiveness of HIT tools to enhance insurance support in CHCs and will compare strategies for facilitating their implementation in "real-world" practice settings. Findings will inform further development and, if indicated, more widespread implementation of insurance support HIT tools. TRIAL REGISTRATION Clinical trial NTC02355262.
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Affiliation(s)
- Jennifer E DeVoe
- Department of Family Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA. .,OCHIN, Inc., 1881 SW Naito Parkway, Portland, OR, 97201, USA.
| | - Nathalie Huguet
- Department of Family Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA.
| | - Sonja Likumahuwa-Ackman
- Department of Family Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA.
| | - Heather Angier
- Department of Family Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA.
| | | | - Miguel Marino
- Department of Family Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA.
| | - Deborah Cohen
- Department of Family Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA.
| | | | - Megan Hoopes
- OCHIN, Inc., 1881 SW Naito Parkway, Portland, OR, 97201, USA.
| | - Rose L Harding
- Department of Family Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA.
| | - Marla Dearing
- OCHIN, Inc., 1881 SW Naito Parkway, Portland, OR, 97201, USA.
| | - Rachel Gold
- OCHIN, Inc., 1881 SW Naito Parkway, Portland, OR, 97201, USA. .,Center for Health Research Northwest, Kaiser Permanente, 3800 N. Interstate Avenue, Portland, OR, 97227, USA.
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Angier H, Marino M, Sumic A, O'Malley J, Likumahuwa-Ackman S, Hoopes M, Nelson C, Gold R, Cohen D, Dickerson K, DeVoe JE. Innovative methods for parents and clinics to create tools for kids' care (IMPACCT Kids' Care) study protocol. Contemp Clin Trials 2015; 44:159-163. [PMID: 26291916 DOI: 10.1016/j.cct.2015.08.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 08/11/2015] [Accepted: 08/13/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND Despite expansions in public health insurance, many children remain uninsured or experience gaps in coverage. Community health centers (CHCs) provide primary care to many children at risk for uninsurance and are well-positioned to help families obtain and retain children's coverage. Recent advances in health information technology (HIT) capabilities provide the means to create tools that could enhance CHCs' insurance outreach efforts. OBJECTIVE To present the study design, baseline patient characteristics, variables, and statistical methods for the Innovative Methods for Parents And Clinics to Create Tools for Kids' Care (IMPACCT Kids' Care) study. METHODS/DESIGN In this mixed methods study, we will design, test and refine health insurance outreach HIT tools through a user-centered process. We will then implement the tools in four CHCs and evaluate their effectiveness and barriers and facilitators to their implementation. To measure effectiveness, we will quantitatively assess health insurance coverage continuity and utilization of healthcare services for pediatric patients in intervention CHCs compared to matched control sites using electronic health record (EHR) and Oregon Medicaid administrative data over 18months pre- and 18months post-implementation (n=34,867 children). We will also qualitatively assess the implementation process to understand how the tools fit into the clinics' workflows and the CHC staff experiences with the tools. CONCLUSIONS This study creates, implements, and evaluates health insurance outreach HIT tools. The use of such tools will likely improve care delivery and health outcomes, reduce healthcare disparities for vulnerable populations, and enhance overall healthcare system performance. ClinicalTrials.gov Identifier: NCT02298361.
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Affiliation(s)
| | | | | | | | | | | | | | - Rachel Gold
- OCHIN, Inc., USA; Kaiser Permanente Center for Health Research, USA
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Langlois EV, Ranson MK, Bärnighausen T, Bosch-Capblanch X, Daniels K, El-Jardali F, Ghaffar A, Grimshaw J, Haines A, Lavis JN, Lewin S, Meng Q, Oliver S, Pantoja T, Straus S, Shemilt I, Tovey D, Tugwell P, Waddington H, Wilson M, Yuan B, Røttingen JA. Advancing the field of health systems research synthesis. Syst Rev 2015; 4:90. [PMID: 26159806 PMCID: PMC4498528 DOI: 10.1186/s13643-015-0080-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 06/17/2015] [Indexed: 11/10/2022] Open
Abstract
Those planning, managing and working in health systems worldwide routinely need to make decisions regarding strategies to improve health care and promote equity. Systematic reviews of different kinds can be of great help to these decision-makers, providing actionable evidence at every step in the decision-making process. Although there is growing recognition of the importance of systematic reviews to inform both policy decisions and produce guidance for health systems, a number of important methodological and evidence uptake challenges remain and better coordination of existing initiatives is needed. The Alliance for Health Policy and Systems Research, housed within the World Health Organization, convened an Advisory Group on Health Systems Research (HSR) Synthesis to bring together different stakeholders interested in HSR synthesis and its use in decision-making processes. We describe the rationale of the Advisory Group and the six areas of its work and reflects on its role in advancing the field of HSR synthesis. We argue in favour of greater cross-institutional collaborations, as well as capacity strengthening in low- and middle-income countries, to advance the science and practice of health systems research synthesis. We advocate for the integration of quasi-experimental study designs in reviews of effectiveness of health systems intervention and reforms. The Advisory Group also recommends adopting priority-setting approaches for HSR synthesis and increasing the use of findings from systematic reviews in health policy and decision-making.
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Affiliation(s)
- Etienne V Langlois
- Alliance for Health Policy and Systems Research, World Health Organization, 20 avenue Appia, 1211, Geneva, Switzerland.
| | - Michael K Ranson
- World Bank Group, 3 Chemin Louis-Dunant, Post Office Box 66 CH, 1211, Geneva, Switzerland.
| | - Till Bärnighausen
- Department of Global Health and Population, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
- Wellcome Trust Africa Centre for Health and Population Studies, University of KwaZulu-Natal, R618 en route to Hlabisa, Somkhele A2074 Rd, Mtubatuba, 3935, South Africa.
| | - Xavier Bosch-Capblanch
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland.
- University of Basel, Petersplatz 1, 4003, Basel, Switzerland.
| | - Karen Daniels
- Health Systems Research Unit, South African Medical Research Council, Francie van Zijl Drive Parowvallei, Cape , PO Box 19070 , 7505, , Tygerberg, South Africa.
| | - Fadi El-Jardali
- Department of Health Management and Policy, Center for Systematic Reviews of Health Policy and Systems Research (SPARK), Faculty of Health Sciences, Van Dyck Hall, American University of Beirut, PO Box 11-0236, Riad El-Solh, Beirut, 1107 2020, Lebanon.
| | - Abdul Ghaffar
- Alliance for Health Policy and Systems Research, World Health Organization, 20 avenue Appia, 1211, Geneva, Switzerland.
| | - Jeremy Grimshaw
- Ottawa Hospital Research Institute & Department of Medicine, University of Ottawa, 725 Parkdale Ave, Ottawa, ON, K1Y 4E9, Canada.
| | - Andy Haines
- Departments of Social and Environmental Health Research and of Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
| | - John N Lavis
- Department of Global Health and Population, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
- Department of Clinical Epidemiology & Biostatistics, Department of Political Science, and McMaster Health Forum, PPD/CHEPA, McMaster University, 1280 Main Street West, CRL-209, Hamilton, ON, L8S 4K1, Canada.
| | - Simon Lewin
- Health Systems Research Unit, South African Medical Research Council, Francie van Zijl Drive Parowvallei, Cape , PO Box 19070 , 7505, , Tygerberg, South Africa.
- Cochrane Effective Practice and Organisation of Care Group (EPOC) Satellite, Norwegian Knowledge Centre for the Health Services, Box 7004, St. Olavs plass, 0130, Oslo, Norway.
| | - Qingyue Meng
- China Centre for Health Development Studies, Peking University, PO 505, XueYuan Road 38, Haidian District, Beijing, 100191, China.
| | - Sandy Oliver
- Evidence for Policy and Practice Information and Co-ordinating Centre (EPPI-Centre), UCL Institute of Education, University College London, 20 Bedford Way, London, WC1H 0AL, UK.
| | - Tomás Pantoja
- Departamento de Medicina Familiar, Escuela de Medicina, Pontificia Universidad Católica de Chile, Avenida Libertador Bernardo O Higgins 340, Santiago, Chile.
| | - Sharon Straus
- St. Michael's hospital, Li Ka Shing Knowledge Institute, 30 Bond St, Toronto, ON, M5B 1W8, Canada.
| | - Ian Shemilt
- Behaviour and Health Research Unit, School of Clinical Medicine, University of Cambridge, Box 113 Cambridge Biomedical Campus Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK.
| | - David Tovey
- Cochrane, St Albans House, 57-59 Haymarket, London, SW1Y 4QX, UK.
| | - Peter Tugwell
- Department of Medicine, Centre for Global Health, WHO Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity, Institute of Population Health, Bruyère Research Institute, University of Ottawa, 85 Primrose Avenue, Office 302, Ottawa, ON, K1R 6M1, Canada.
| | - Hugh Waddington
- International Initiative for Impact Evaluation, 36 Gordon Square, London, WC1H 0PD, UK.
| | - Mark Wilson
- Cochrane, St Albans House, 57-59 Haymarket, London, SW1Y 4QX, UK.
| | - Beibei Yuan
- China Centre for Health Development Studies, Peking University, PO 505, XueYuan Road 38, Haidian District, Beijing, 100191, China.
| | - John-Arne Røttingen
- Department of Global Health and Population, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
- Department of Health Management and Health Economics, Faculty of Medicine, Institute of Health and Society, University of Oslo, Postboks 1089, Blindern, 0317, Oslo, Norway.
- Division of Infectious Disease Control, Norwegian Institute of Public Health, PO Box 4404, , N-0403, Oslo, Norway.
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Jia L, Yuan B, Huang F, Lu Y, Garner P, Meng Q. Strategies for expanding health insurance coverage in vulnerable populations. Cochrane Database Syst Rev 2014; 2014:CD008194. [PMID: 25425010 PMCID: PMC4455226 DOI: 10.1002/14651858.cd008194.pub3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND Health insurance has the potential to improve access to health care and protect people from the financial risks of diseases. However, health insurance coverage is often low, particularly for people most in need of protection, including children and other vulnerable populations. OBJECTIVES To assess the effectiveness of strategies for expanding health insurance coverage in vulnerable populations. SEARCH METHODS We searched Cochrane Central Register of Controlled Trials (CENTRAL), part of The Cochrane Library. www.thecochranelibrary.com (searched 2 November 2012), PubMed (searched 1 November 2012), EMBASE (searched 6 July 2012), Global Health (searched 6 July 2012), IBSS (searched 6 July 2012), WHO Library Database (WHOLIS) (searched 1 November 2012), IDEAS (searched 1 November 2012), ISI-Proceedings (searched 1 November 2012),OpenGrey (changed from OpenSIGLE) (searched 1 November 2012), African Index Medicus (searched 1 November 2012), BLDS (searched 1 November 2012), Econlit (searched 1 November 2012), ELDIS (searched 1 November 2012), ERIC (searched 1 November 2012), HERDIN NeON Database (searched 1 November 2012), IndMED (searched 1 November 2012), JSTOR (searched 1 November 2012), LILACS(searched 1 November 2012), NTIS (searched 1 November 2012), PAIS (searched 6 July 2012), Popline (searched 1 November 2012), ProQuest Dissertation &Theses Database (searched 1 November 2012), PsycINFO (searched 6 July 2012), SSRN (searched 1 November 2012), Thai Index Medicus (searched 1 November 2012), World Bank (searched 2 November 2012), WanFang (searched 3 November 2012), China National Knowledge Infrastructure (CHKD-CNKI) (searched 2 November 2012).In addition, we searched the reference lists of included studies and carried out a citation search for the included studies via Web of Science to find other potentially relevant studies. SELECTION CRITERIA Randomised controlled trials (RCTs), non-randomised controlled trials (NRCTs), controlled before-after (CBA) studies and Interrupted time series (ITS) studies that evaluated the effects of strategies on increasing health insurance coverage for vulnerable populations. We defined strategies as measures to improve the enrolment of vulnerable populations into health insurance schemes. Two categories and six specified strategies were identified as the interventions. DATA COLLECTION AND ANALYSIS At least two review authors independently extracted data and assessed the risk of bias. We undertook a structured synthesis. MAIN RESULTS We included two studies, both from the United States. People offered health insurance information and application support by community-based case managers were probably more likely to enrol their children into health insurance programmes (risk ratio (RR) 1.68, 95% confidence interval (CI) 1.44 to 1.96, moderate quality evidence) and were probably more likely to continue insuring their children (RR 2.59, 95% CI 1.95 to 3.44, moderate quality evidence). Of all the children that were insured, those in the intervention group may have been insured quicker (47.3 fewer days, 95% CI 20.6 to 74.0 fewer days, low quality evidence) and parents may have been more satisfied on average (satisfaction score average difference 1.07, 95% CI 0.72 to 1.42, low quality evidence).In the second study applications were handed out in emergency departments at hospitals, compared to not handing out applications, and may have had an effect on enrolment (RR 1.5, 95% CI 1.03 to 2.18, low quality evidence). AUTHORS' CONCLUSIONS Community-based case managers who provide health insurance information, application support, and negotiate with the insurer probably increase enrolment of children in health insurance schemes. However, the transferability of this intervention to other populations or other settings is uncertain. Handing out insurance application materials in hospital emergency departments may help increase the enrolment of children in health insurance schemes. Further studies evaluating the effectiveness of different strategies for expanding health insurance coverage in vulnerable population are needed in different settings, with careful attention given to study design.
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Affiliation(s)
- Liying Jia
- Shandong UniversityCenter for Health Management and Policy, Key Lab for Health Economics and Policy Research, Ministry of HealthJinanShandongChina250012
- Ministry of HealthKey Lab for Health Economics and Policy ResearchShandongChina
| | - Beibei Yuan
- Peking UniversityChina Center for Health Development Studies (CCHDS)38 Xueyuan RoadBeijingBeijingChina100191
| | - Fei Huang
- Shandong UniversityCenter for Health Management and PolicyJinanChina
| | - Ying Lu
- Shandong UniversityCenter for Health Management and PolicyJinanChina
| | - Paul Garner
- Liverpool School of Tropical MedicineDepartment of Clinical SciencesPembroke PlaceLiverpoolMerseysideUKL3 5QA
| | - Qingyue Meng
- Peking UniversityChina Center for Health Development Studies (CCHDS)38 Xueyuan RoadBeijingBeijingChina100191
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