Evidence map›Paper›PMID 21054370›Full record

ArticleHealth services research2010

Multiple chronic conditions and disabilities: implications for health services research and data demands.

Lisa I Iezzoni

Registry-linked trialAbstract read
In one paragraph

Article in Health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03609658 (Integrated Approach to Patient and Family Engagement for Advance Care Planning for Vulnerable Older Adult Within an Accountable Care Organization), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT03609658 nacompletednot on this mapstarted 2018, after this paper: background citation

Integrated Approach to Patient and Family Engagement for Advance Care Planning for Vulnerable Older Adult Within an Accountable Care Organization (ACO)

TypeinterventionalSponsorWake Forest University Health SciencesRan2018 to 2019Enrolled146ConditionsAdvance Care PlanningArmsNurse Navigator Pathway, Usual Care
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Medical indications for primary cesarean delivery in women with and without disabilities.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2020
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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

1 author.

Lisa I IezzoniMongan Institute for Health Policy, Massachusetts General Hospital, 50 Staniford Street, Room 901B, Boston, MA 02114, USA. liezzoni@partners.org

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing numbers of Americans are living with multiple chronic conditions (MCCs) and disabilities. Addressing health care needs of persons with MCCs or disabilities presents challenges on many levels. For health services researchers, priorities include (1) considering MCCs and disabilities in comparative effectiveness research (CER) and assessing quality of care; and (2) identifying and evaluating the data needed to conduct CER, performance measure development, and other research to inform health policy and public health decisions concerning persons with MCCs or disabilities. Little information is available to guide CER or treatment choices for persons with MCCs or disabilities, however, because they are typically excluded from clinical trials that produce the scientific evidence base. Furthermore, most research funding flows through public and private agencies oriented around single organ systems or diseases. Likely changes in the data landscape-notably wider dissemination of electronic health records (EHRs) and moving toward updated coding nomenclatures-may increase the information available to monitor health care service delivery and quality for persons with MCCs and disabilities. Generating this information will require new methods to extract and code information about MCCs and functional status from EHRs, especially narrative texts, and incorporating coding nomenclatures that capture critical dimensions of functional status and disability.

Indexed as

Chronic DiseaseClinical CodingComparative Effectiveness ResearchData Interpretation, StatisticalHealth Services ResearchHumansInternational Classification of DiseasesMedical InformaticsPersons with DisabilitiesProgram EvaluationQuality Indicators, Health CareQuality of Health Care

Identifiers

PMID21054370
PMCPMC2965890

What OpenQuestion holds

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Registered trials

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.