Background: Integrated healthcare delivery is a policy goal of healthcare systems. There is no consensus on how to measure the concept, which makes it difficult to monitor progress. Purpose:To identify the different types of methods used to measure integrated healthcare delivery with emphasis on structural, cultural and process aspects.Methods: Medline/Pubmed, EMBASE, Web of Science, Cochrane Library, WHOLIS, and conventional internet search engines were systematically searched for methods to measure integrated healthcare delivery (published -April 2008).Results: Twenty-four published scientific papers and documents met the inclusion criteria. In the 24 references we identified 24 different measurement methods; however, 5 methods shared theoretical framework. The methods can be categorized according to type of data source: a) questionnaire survey data, b) automated register data, or c) mixed data sources. The variety of concepts measured reflects the significant conceptual diversity within the field, and most methods lack information regarding validity and reliability. Conclusion:Several methods have been developed to measure integrated healthcare delivery; 24 methods are available and some are highly developed. The objective governs the method best used. Criteria for sound measures are suggested and further developments should be based on an explicit conceptual framework and focus on simplifying and validating existing methods. Keywordsintegrated healthcare delivery, methods, literature review, quality of healthcare Research and Theory

BackgroundDespite overall progress in treatment of autoimmune diseases, patients with systemic lupus erythematosus (SLE) experience many inflammatory symptoms representing an unmet medical need. This study aimed to create a conceptual model of the humanistic and economic burden of SLE, and review the patient-reported outcomes (PROs) used to measure such concepts in SLE clinical trials.MethodsA conceptual model for SLE was developed from structured review of published articles from 2007 to August 2013 identified from literature databases (MEDLINE, EMBASE, PsycINFO, EconLit) plus other sources (PROLabels, FDA/EMA websites, Clinicaltrials.gov). PROs targeting key symptoms/impacts were identified from the literature. They were reviewed in the context of available guidance and assessed for face and content validity and psychometric properties to determine appropriateness for use in SLE trials.ResultsThe conceptual model identified fatigue, pain, cognition, daily activities, emotional well-being, physical/social functioning and work productivity as key SLE concepts. Of the 68 articles reviewed, 38 reported PRO data. From these and the other sources, 15 PROs were selected for review, including SLE-specific health-related quality of life (HRQoL) measures (n = 5), work productivity (n = 1), and generic measures of fatigue (n = 3), pain (n = 2), depression (n = 2) and HRQoL (n = 2). The Functional Assessment of Chronic Illness Therapy - Fatigue Scale (FACIT-Fatigue), Brief Pain Inventory (BPI-SF) and LupusQoL demonstrated the strongest face validity, conceptual coverage and psychometric properties measuring key concepts in the conceptual model. All PROs reviewed, except for three Lupus-specific measures, lacked qualitative SLE patient involvement during development. The Hospital Anxiety and Depression Scale (HADS), Short Form [36 item] Health Survey version 2 (SF-36v2), EuroQoL 5-dimensions (EQ-5D-3L and EQ-5D-5L) and Work Productivity and Activity Impairment Questionnaire: Lupus (WPAI:Lupus) showed suitability for SLE economic models.ConclusionsBased on the identification of key symptoms and impacts of SLE using a scientifically sound conceptual model, we conclude that SLE is a condition associated with high unmet need and considerable burden to patients. This review highlights the availability and need for disease-specific and generic patient-reported measures of relevant domains of disease signs and symptoms, HRQoL and work productivity, providing useful insight for SLE clinical trial design.

IntroductionInsights into effective policy strategies for improved coordination of care is needed. In this study we describe and compare the policy strategies chosen in Denmark and Sweden, and discuss them in relation to interorganisational network theory.Policy practiceThe policy initiatives to improve collaboration between primary and secondary healthcare in Denmark and Sweden include legislation and agreements aiming at clarifying areas of responsibility and defining requirements, creation of links across organisational boarders. In Denmark many initiatives have been centrally induced, while development of local solutions is more prominent in Sweden. Many Danish initiatives target the administrative level, while in Sweden initiatives are also directed at the operational level. In both countries economic incentives for collaboration are weak or lacking, and use of sanctions as a regulatory mean is limited.Discussion and conclusionDespite a variety of policy initiatives, lacking or poorly developed structures to support implementation function as barriers for coordination. The two cases illustrate that even in two relatively coherent health systems, with regional management of both the hospital and general practice sector, there are issues to resolve in regard to administrative and operational coordination. The interorganisational network literature can provide useful tools and concepts for interpreting such issues.

There is growing awareness of the impact of human activity on the climate and the need to stem this impact. Public health care decision makers from Sweden and the United Kingdom have started examining environmental impacts when assessing new technologies. This article considers the case for incorporating environmental impacts into the health technology assessment (HTA) process and discusses the associated challenges. Two arguments favor incorporating environmental impacts into HTA: 1) environmental changes could directly affect people's health and 2) policy decision makers have broad mandates and objectives extending beyond health care. Two types of challenges hinder this process. First, the nascent evidence base is insufficient to support the accurate comparison of technologies' environmental impacts. Second, cost-utility analysis, which is favored by many HTA agencies, could capture some of the value of environmental impacts, especially those generating health impacts, but might not be suitable for addressing broader concerns. Both cost-benefit and multicriteria decision analyses are potential methods for evaluating health and environmental outcomes, but are less familiar to health care decision makers. Health care is an important and sizable sector of the economy that could warrant closer policy attention to its impact on the environment. Considerable work is needed to track decision makers' demands, augment the environmental evidence base, and develop robust methods for capturing and incorporating environmental data as part of HTA.

Background: Global health policy is created largely through a collaborative process between development agencies and aid-recipient governments, yet it remains unclear whether governments retain ownership over the creation of policy in their own countries. An assessment of the power structure in this relationship and its influence over agenda-setting is thus the first step towards understanding where progress is still needed in policymaking for development. Methods: This study employed qualitative policy analysis methodology to examine how health-related policy agendas are adopted in low-income countries, using Tanzania as a case study. Semi-structured, in-depth, key informant interviews with 11 policy-makers were conducted on perspectives of the agenda-setting process and its actors. Kingdon's stream theory was chosen as the lens through which to interpret the data analysis. Results: This study demonstrates that while stakeholders each have ways of influencing the process, the power to do so can be assessed based on three major factors: financial incentives, technical expertise, and influential position. Since donors often have two or all of these elements simultaneously a natural power imbalance ensues, whereby donor interests tend to prevail over recipient government limitations in prioritization of agendas. One way to mediate these imbalances seems to be the initiation of meaningful policy dialogue. Conclusion: In Tanzania, the agenda-setting process operates within a complex network of factors that interact until a "policy window" opens and a decision is made. Power in this process often lies not with the Tanzanian government but with the donors, and the contrast between latent presence and deliberate use of this power seems to be based on the donor ideology behind giving aid (defined here by funding modality). Donors who used pooled funding (PF) modalities were less likely to exploit their inherent power, whereas those who preferred to maintain maximum control over the aid they provided (ie, non-pooled funders) more readily wielded their intrinsic power to push their own priorities. Keywords: Health Policy, Policy Analysis, Agenda-Setting, Power, Tanzania Copyright: © 2016 by Kerman University of Medical Sciences Citation: Fischer SE, Strandberg-Larsen M. Power and agenda-setting in Tanzanian health policy: an analysis of stakeholder perspectives.