Dataset Information

Patient Input in Regional Healthcare Planning-A Meaningful Contribution.

ABSTRACT: Background: There are well-known methodological and analytical challenges in planning regional healthcare services (HCS). Increasingly, the need for data-derived planning, including user-perspectives, is discussed. This study aims to better understand the possible contribution of citizen experience in the assessment of regional HCS needs in two regions of Germany. Methods: We conducted a written survey in two regions of differing size-a community (3653 inhabitants) and a county (165,211 inhabitants). Multinomial logistic regression was used to assess the impact of sociodemographic and regional factors on the assessment of HCS provided by general practitioners (GPs) and specialists. Results: Except for age and financial resources available for one's own health, populations did not differ significantly between the regions. However, citizens' perception of HCS (measured by satisfaction with 1 = very good to 5 = very poor) differed clearly between different services (e.g., specialists: 3.8-4.3 and pharmacies: 1.7-2.5) as well as between regions (GPs: 1.7-3.1; therapists: 2.9-4). In the multivariate model, region (next to income and age) was a consistent predictor of the perception of GP- and specialist-provided care. Discussion: Citizens' perceptions of HCS correspond to regional provider density (the greater the density, the better the perception) and add insights into citizens' needs. Therefore, they can provide valuable information on regional HCS strengths and weaknesses and are a valid resource to support decision makers in shaping regional care structures.

SUBMITTER: Sturm H

PROVIDER: S-EPMC6801500 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Patient Input in Regional Healthcare Planning-A Meaningful Contribution.

Sturm Heidrun H Colombo Miriam M Hebeiss Teresa T Joos Stefanie S Koch Roland R

International journal of environmental research and public health 20191005 19

<i>Background:</i> There are well-known methodological and analytical challenges in planning regional healthcare services (HCS). Increasingly, the need for data-derived planning, including user-perspectives, is discussed. This study aims to better understand the possible contribution of citizen experience in the assessment of regional HCS needs in two regions of Germany. <i>Methods:</i> We conducted a written survey in two regions of differing size-a community (3653 inhabitants) and a county (16 ...[more]

PMID: 31590364

Similar Datasets

Project description:Background/objectiveAdvance care planning (ACP) is associated with improved patient and caregiver outcomes, but is underutilized. To encourage ACP, the Centers for Medicare & Medicaid Services implemented specific ACP visit reimbursement codes in 2016. To better understand the utilization of these ACP reimbursement codes, we explored regional variation in billed ACP visits.DesignWe performed a retrospective cross-sectional analysis using a randomly sampled 5% cohort of Medicare fee-for-service (FFS) beneficiaries' claims files from 2017. Region was defined by hospital referral region.SettingNational Medicare FFS.ParticipantsA total of 1.3 million Medicare beneficiaries aged 65 years and older.MeasurementReceipt of billed ACP service, identified through Current Procedural Terminology code 99497 or 99498. Proportion of beneficiaries who received billed ACP service(s) by region was calculated. We fit a multilevel logistic regression model with a random regional intercept to determine the variation in billed ACP visits attributable to the region after accounting for patient (demographics, comorbidities, and medical care utilization) and regional factors (hospital size, emergency department visits, hospice utilization, and costs).ResultsThe study population included about 1.3 million beneficiaries, of which 32,137 (2.4%) had at least one billed ACP visit in 2017. There was substantial regional variation in the percentage of beneficiaries with billed ACP visits: lowest quintile region, less than 0.83%; subsequent regions, less than 1.6%, less than 2.4%, less than 3.3% to less than 8.4% in the highest quintile regions. A total of 15.4% of the variance in whether an older adult had a billed ACP visit was explained by the region. Although numerous regional factors were associated with billed ACP visits, none were strong predictors.ConclusionIn 2017, we found wide regional variation in the use of billed ACP visits, although use overall was low in all regions. Increasing the understanding of the drivers and the effects of billed ACP visits could inform strategies for increasing ACP.

Dataset Information

Patient Input in Regional Healthcare Planning-A Meaningful Contribution.

Publications

Patient Input in Regional Healthcare Planning-A Meaningful Contribution.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets