Paras D Mehta
Biographic Data
| ID | 132743 |
|---|---|
| NAME | Paras D Mehta |
| GIVEN NAMES | Paras D |
| FAMILY NAME | Mehta |
| SIGNATURE | MEHTA P D |
| AFFILIATIONS | University of Houston |
| VERIFIED | No |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Relationship Between Number of Assigned Patients and RN Time to Administer Medications During the Peak-Time Medication Pass
BACKGROUND: Inpatient nurse staffing affects patient outcomes. Less is known about the mechanism of this relationship and how lower overall staffing in a unit affects individual RN activities at the bedside. OBJECTIVES: Estimate the relationship between the number of patients assigned to an RN and time spent on medication administration at the peak-time medication pass (PTM), a common nursing task. RESEARCH DESIGN: Estimate the association using …
Using Medication Pass Analysis to Examine Longitudinal Changes in VA Inpatient Nurse Staffing and Workload Before and Through the Covid-19 Pandemic
BACKGROUND: The COVID-19 pandemic resulted in extended disruption to the health care system. National-level data-driven comparisons of inpatient nurse staffing and workload before and during the pandemic have been limited. OBJECTIVES: Assess the extent to which registered nurse (RN) staffing and workload changed from prepandemic levels in a national integrated health care system. RESEARCH DESIGN: Longitudinal descriptive analysis. Medication pass…
Beyond Hospital-Level Aggregated Data
BACKGROUND: Studies of nurse staffing frequently use data aggregated at the hospital level that do not provide the appropriate context to inform unit-level decisions, such as nurse staffing. OBJECTIVES: Describe a method to link patient data collected during the provision of routine care and recorded in the electronic health record (EHR) to the nursing units where care occurred in a national dataset. RESEARCH DESIGN: We identified all Veterans He…
A Social Relations Model of need supportiveness
Basic need fulfillment has important implications for optimal growth and development and may be derived through receiving need support from others. Thus far, research has primarily focused on single-person ratings of (perceptions of) need supportiveness. Thus, it is unclear whether perceptions of need supportiveness are dyadically specific and reciprocal and to what extent need supportiveness may be trait-based. In the current study, sorority and…
Virtual Levels and Role Models
A general latent variable modeling framework called n-Level Structural Equations Modeling (NL-SEM) for dependent data-structures is introduced. NL-SEM is applicable to a wide range of complex multilevel data-structures (e.g., cross-classified, switching membership, etc.). Reciprocal dyadic ratings obtained in round-robin design involve complex set of dependencies that cannot be modeled within Multilevel Modeling (MLM) or Structural Equations Mode…
Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model
Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We descri…
A social relations examination of neuroticism and emotional support
Control Variables in Research
Parents' Expectations to Receive Antibiotic Prescriptions for Children
The objective of this study was to evaluate whether parents’ level of expectations would change after manipulating their perceived barriers to visiting doctors without any expectations for antibiotic prescriptions and their perceived benefits of using antibiotics. A prospective experimental study was conducted using a data-collection instrument to manipulate perceived barriers and perceived benefits using four scenarios. Scenarios were developed …
Semi-Nonparametric Methods for Detecting Latent Non-normality
Ordered latent class analysis (OLCA) can be used to approximate unidimensional latent distributions. The main objective of this study is to evaluate the method of OLCA in detecting non-normality of an unobserved continuous variable (i.e., a common factor) used to explain the covariation between dichotomous item-level responses. Using simulation, we compared a model in which probabilities of class membership were estimated to a restricted submodel…
A social relations examination of neuroticism and emotional support
Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model
Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We descri…
Semi-Nonparametric Methods for Detecting Latent Non-normality
Ordered latent class analysis (OLCA) can be used to approximate unidimensional latent distributions. The main objective of this study is to evaluate the method of OLCA in detecting non-normality of an unobserved continuous variable (i.e., a common factor) used to explain the covariation between dichotomous item-level responses. Using simulation, we compared a model in which probabilities of class membership were estimated to a restricted submodel…
Control Variables in Research
Parents' Expectations to Receive Antibiotic Prescriptions for Children
The objective of this study was to evaluate whether parents’ level of expectations would change after manipulating their perceived barriers to visiting doctors without any expectations for antibiotic prescriptions and their perceived benefits of using antibiotics. A prospective experimental study was conducted using a data-collection instrument to manipulate perceived barriers and perceived benefits using four scenarios. Scenarios were developed …
A social relations examination of neuroticism and emotional support
Virtual Levels and Role Models
A general latent variable modeling framework called n-Level Structural Equations Modeling (NL-SEM) for dependent data-structures is introduced. NL-SEM is applicable to a wide range of complex multilevel data-structures (e.g., cross-classified, switching membership, etc.). Reciprocal dyadic ratings obtained in round-robin design involve complex set of dependencies that cannot be modeled within Multilevel Modeling (MLM) or Structural Equations Mode…
Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model
Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We descri…
A Social Relations Model of need supportiveness
Basic need fulfillment has important implications for optimal growth and development and may be derived through receiving need support from others. Thus far, research has primarily focused on single-person ratings of (perceptions of) need supportiveness. Thus, it is unclear whether perceptions of need supportiveness are dyadically specific and reciprocal and to what extent need supportiveness may be trait-based. In the current study, sorority and…
Beyond Hospital-Level Aggregated Data
BACKGROUND: Studies of nurse staffing frequently use data aggregated at the hospital level that do not provide the appropriate context to inform unit-level decisions, such as nurse staffing. OBJECTIVES: Describe a method to link patient data collected during the provision of routine care and recorded in the electronic health record (EHR) to the nursing units where care occurred in a national dataset. RESEARCH DESIGN: We identified all Veterans He…
Relationship Between Number of Assigned Patients and RN Time to Administer Medications During the Peak-Time Medication Pass
BACKGROUND: Inpatient nurse staffing affects patient outcomes. Less is known about the mechanism of this relationship and how lower overall staffing in a unit affects individual RN activities at the bedside. OBJECTIVES: Estimate the relationship between the number of patients assigned to an RN and time spent on medication administration at the peak-time medication pass (PTM), a common nursing task. RESEARCH DESIGN: Estimate the association using …
Using Medication Pass Analysis to Examine Longitudinal Changes in VA Inpatient Nurse Staffing and Workload Before and Through the Covid-19 Pandemic
BACKGROUND: The COVID-19 pandemic resulted in extended disruption to the health care system. National-level data-driven comparisons of inpatient nurse staffing and workload before and during the pandemic have been limited. OBJECTIVES: Assess the extent to which registered nurse (RN) staffing and workload changed from prepandemic levels in a national integrated health care system. RESEARCH DESIGN: Longitudinal descriptive analysis. Medication pass…
Psychology (6 works) · Statistics (4 works) · Econometrics (3 works) · Mathematics (3 works) · Mental Health Research Topics (3 works) · Perception (3 works) · Structural equation modeling (3 works) · Behavioral Health and Interventions (2 works) · Computer Science (2 works) · Context (archaeology) (2 works)