The diagonal approach

A theoretic framework for the economic evaluation of vertical and horizontal interventions in healthcare

Datos Bibliográficos

ID4600056
AutoresErin Kirwin (0000-0001-6957-7236, Institute of Health Economics, autor de correspondencia), Rachel Meacock (0000-0001-8933-5058, University of Manchester), Jeff Round (0000-0002-3103-6984, Institute of Health Economics), Madeline Sutton (0000-0002-6635-2127, University of Manchester)
Año2022
Volumen301
Páginas114900
Fecha de publicación2022-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocial Science & Medicine (JOURNAL)
Identificadores de la revistaISSN: 0277-9536 • E-ISSN: 1873-5347
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2022.114900
PMID35364563
OpenAlexW4220880682
IdiomaEN
Citas recibidas3
Referencias citadas26

The diagonal approach is a health system funding concept wherein vertical approaches targeting specific diseases are combined with horizontal approaches intended to strengthen health systems broadly. This taxonomy can also be used to classify health system interventions as either vertical or horizontal. Previous studies have used mathematical programming to evaluate horizontal interventions, but these models have not allowed concurrent evaluation of different types of horizontal interventions or captured spillovers and intertemporal effects. This paper aims to develop a theoretic framework for the diagonal approach. The framework is articulated through integer programming, maximizing health benefits given constraints by identifying the optimal set of both vertical and horizontal interventions to fund. The theoretic framework for the diagonal approach is developed by synthesizing and expanding three prior works. The decision problem is synthesised to allow concurrent evaluation of three different types of horizontal interventions, those: (i) improving health system efficiency, (ii) improving capacity, and (iii) investing in new platforms. Linear programs are converted to integer form, relaxing previous assumptions related to constant returns to scale and divisibility of interventions. The framework is expanded to evaluate multiple budget constraints and options for new platforms. A new form for the value function is used to estimate the benefits of intervention combinations, capturing spillovers between vertical and horizontal interventions and dynamic returns to scale. The decision problem is specified inferotemporally, explicitly capturing the impact of the time horizon on the optimal choice set. Dynamic examples are provided to demonstrate the advantages of the diagonal approach over prior frameworks. This framework extends existing works, enabling simultaneous comparison of various combinations of both vertical and horizontal interventions, capturing spillovers and intertemporal effects. The diagonal approach framework defines decision problems flexibly and realistically, forming the basis for future applied work. Implementation would improve resource allocation and patient health outcomes

Diagonal · Economic evaluation · Economics · Horizontal and vertical · Integer (computer science · Integer programming · Mathematical optimization · Microeconomics · Operations research · Psychological intervention · Scale (ratio · Set (abstract data type · Time horizon · Computer Science · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Mathematics · Medicine