Evidence map›Paper›PMID 35969445›Full record

ArticleJMIR research protocols2022

Enabling Long-term Predictions and Cost-benefit Analysis Related to Housing Adaptation Needs for a Population Aging in Place: Protocol for a Simulation Study.

Steven M Schmidt, Carlos Chiatti, Lisa Ekstam, Maria Haak, Christina Heller, Maria H Nilsson, Björn Slaug

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Steven M SchmidtDepartment of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-0878-735X
Carlos ChiattiR&D Unit, Tech4Care srl, Falconara Marittima, Italy.ORCID https://orcid.org/0000-0003-4810-9630
Lisa EkstamDepartment of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-7965-5530
Maria HaakDepartment of Nursing Education and Integrated Health Sciences, Faculty of Health Sciences, Kristianstad University, Kristianstad, Sweden.ORCID https://orcid.org/0000-0002-0054-2542
Christina HellerDepartment of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-4247-5878
Maria H NilssonDepartment of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-6580-6721
Björn SlaugDepartment of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0001-7386-2224
Lund University · SEKristianstad University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolicies that promote aging in place are common in Sweden and many other countries. However, the current housing stock cannot sufficiently accommodate a population aging in place considering how functional capacity and housing needs change as people age. To be suitable for all regardless of their functional ability, housing should be designed or adapted to facilitate the performance of activities of daily living. Long-term planning and plausible projections of development 20 to 30 years into the future are needed.

objectiveThe overall aim is to develop simulation models that enable long-term predictions and analysis of potential consequences in terms of societal gains and costs for different large-scale measures and interventions in the ordinary housing stock.

methodsThis study is designed as a simulation study and will broadly apply health impact assessment methods in collaboration with five municipalities in Sweden. Individual interviews and research circles were used to identify current and prioritize potential new policies to improve the accessibility of the housing stock. We will run a series of simulations based on an estimated willingness to pay from discussions with the municipalities. Two to three different prioritized policies will be compared simultaneously using Markov cohort analysis to estimate the potential costs and health impact on the population. Using data from a systematic review and existing population-based data sets with individual-level data on home and health variables, we will calculate parameter estimates for the relations between housing accessibility and health outcomes. The potential impact of selected policy interventions will be estimated in several microsimulations representing people living in the community. Sensitivity analyses will be conducted for each simulation.

resultsAs of April 2022, open access data was collected, and a systematic review was underway and expected to be completed by November 2022. Collaboration with five municipalities was established in autumn 2020. In spring 2021, the municipalities developed a list of prioritized policy interventions to be tested and used in the simulation models. Inventories of barrier frequencies in ordinary housing started in spring 2022 and are expected to be completed in autumn 2022. Data gathering and analyses for simulation inputs will be completed during 2022 followed by the simulation modeling analyses to be completed in 2023.

conclusionsImproved accessibility of the ordinary housing stock has the potential to maintain or improve the health of the aging population. This study will generate tools that enable long-term predictions and reliable cost-benefit estimates related to the housing adaptation needs for a population aging in place, thus providing support for the best-informed policy decisions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/39032.

Indexed as

accessibilityactivities of daily livingage-friendly housingaging in placedemographic agingfunctional limitationshousing adaptationshousing policiesperson-environment fitsimulation models

Identifiers

PMID35969445
PMCPMC9419049
OpenAlexW4281774418

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.