Participants' baseline characteristics by adherence group.

<p>* All p-values calculated with Chi-2 or Fisher's exact test where appropriate.</p><p>Participants' baseline characteristics by adherence group.</p

Beliefs about Medications Questionnaire scores by adherence groups.

<p>*All p-values calculated with t-tests, except in those indicated with an asterisk where U Mann-Whitney was used.</p><p>Beliefs about Medications Questionnaire scores by adherence groups.</p

sj-docx-1-isp-10.1177_00207640231185026 – Supplemental material for Provision of community mental health care before and during the COVID-19 pandemic: A time series analysis in Peru

Supplemental material, sj-docx-1-isp-10.1177_00207640231185026 for Provision of community mental health care before and during the COVID-19 pandemic: A time series analysis in Peru by David Villarreal-Zegarra, Piero Segovia-Bacilio, Rubí Paredes-Angeles, Ana Lucía Vilela-Estrada, Victoria Cavero and Francisco Diez-Canseco in International Journal of Social Psychiatry</p

Basic sociodemographic characteristics of participants.

<p>Basic sociodemographic characteristics of participants.</p

Number (%) of People by Weight Category according to BMI and Self-Reported Weight (SRW) by Place of Residence.

<p>Number (%) of People by Weight Category according to BMI and Self-Reported Weight (SRW) by Place of Residence.</p

Weight Underestimation in Overweight and Obese Individuals by Place of Residence and Socio-Demographic Variables^a.

a<p>Prevalence of Underestimation in one category of weight in Overweight and Obese Individuals by BMI, Stratified by Place of Residence and Socio-demographic Variables, and Univariate Analysis of Total Underestimation for each Socio-demographic Variable.</p>b<p>Fisher exact test for total underestimation for each socio-demographic variable.</p

Policy simulations for doctors on a short-term contract showing changes in proportion opting for a rural job*.

<p>*These scenarios correspond to simulations when individual or combined incentives could be offered, relative to baseline scenario and using the coefficients of each specific attribute studied. The baseline scenario used for doctors included similar job conditions or characteristics for the three labels used (rural, small capital city, and Ayacucho city).</p

Percentages of Agreement, Underestimation, and Overestimation between BMI and Self-Reported Weight (SRW).

<p>Percentages of Agreement, Underestimation, and Overestimation between BMI and Self-Reported Weight (SRW).</p

Determinants of job preferences for nurses and midwives on a short-term contract.

<p>Pseudo R²: 0.1442 Log-likelihood: −1945 Chi² (28) = 655 p<0.001.</p

Determinants of job preferences of doctors on a short-term contract.

<p>Pseudo R²: 0.1262 Log-likelihood: −1567 Chi² (25) = 452 p<0.001. CME: continuous medical education.</p